Visa sponsorship jobs in Rotterdam

We're building Alaura, a private AI advisor for founders and CEOs. We capture every meeting and turn it into coaching on how you actually lead, not how you think you lead. Wave 01 is live with a first group of paying users and feedback comes in daily, directly to the founders. We've been building fast. But we see what we could be building, and we want to get there even faster. That's where you come in. We're looking for the best AI engineer out there. Not a generalist who also does AI. But someone who lives in this stuff, ships fast, and wants ownership over what we build next. How we got here A few months ago, three of us (Marleen, Michael and Sharon) kept circling the same problem: as a founder, you spend most of your time explaining your business to advisors and coaches. By the time someone has the full picture, the moment you actually needed the advice is long gone. How objective is advice when it's never in real time, and never with the full context? So we started experimenting. Recording everything. Analyzing how decisions actually get made. Turning behavior into something you could learn from in the moment. Then House of Founders happened. Eight Dutch top founders, one villa in Cape Town, five days, AI as the ninth co-founder. Alaura was one of the companies built that week. Ruben joined right after as Co-founder to lead the company forward and a few weeks later, 1.200 entrepreneurs saw what we'd made at the launch event in Rotterdam, and we haven't stopped sprinting since. This is the kind of momentum you only get a couple of times in your career. We'd like you in the room for it. What Alaura actually does Captures meetings end-to-end (audio, structure, who said what, encrypted) Analyzes how you communicate, how you listen, how you decide, how you show up under pressure Reflects it back to you. Your leadership profile, your patterns, your blind spots Coaches you in real time, in the moment you actually need it Think of it as the most observant, most honest advisor you've ever had. Except it has the full picture, every time. What we're looking for You'll be one of the first engineers and own large parts of the AI stack. Concretely, you'll be working on things like: Meeting-processing pipelines that work reliably across messy, multi-speaker, multi-language conversations Speaker diarization, intent and behavior modeling, turning raw conversation into signals LLM-driven analysis layers for leadership patterns, listening quality, engagement, decision-making Eval infrastructure so we can actually tell when the product gets better, not just feel it Privacy and encryption by design, this is sensitive data and we treat it that way Latency, cost and quality trade-offs in production, not in a slide deck You will ship to real users in week one. That's the standard. Our stack (high level) You don't need to match this exactly, the specific versions and providers will keep moving. This is the shape of what's already running for real users. Analysis pipeline: event-driven, runs in daily windows. Each conversation goes through an LLM (currently Gemini) that extracts dozens of leadership and business signals as structured JSON. Parallel inference, prompt templates under version control. AI surface: streaming chat advisor with tool use and per-user memory, plus daily and weekly narratives. We mix models by job (cheap for extraction, mid-tier for chat, top-tier for the daily tip). Audio + ingestion: conversations come in from wearables and other meeting sources as audio and speaker-labeled transcripts. Primarily Dutch with English mixed in, so everything downstream handles both. Backend & data: Next.js on Vercel, Postgres, JSONB-heavy schema. Mobile: Expo / React Native iOS app with OTA updates. Auth & comms: Clerk for auth, Expo Push for nudges. Privacy posture: per-user isolation, encryption at rest, scoped tokens. The product promise is "only for your eyes", and that constraint shapes a lot of architectural decisions. Where we'd love your fingerprints: real eval infra around the signal extractors, lower-latency real-time coaching loops, smarter speaker diarization, on-device or privacy-preserving inference where it makes sense, and a cleaner story for fine-tuning the leadership-specific bits. You'll probably love this if you Have built and shipped real production AI systems: RAG, agents, voice, multimodal, doesn't matter, but it has to have actually run for real users Are AI-first: you live in modern LLM and agent tooling and pick up whatever language the job needs (today that's mostly TypeScript and Python) Have hands-on experience with speech / audio / ASR or are excited to go deep there Care about evals as much as you care about the model itself Move fast, kill your darlings fast, and don't need a roadmap to know what to do tomorrow Can sit with a founder, debug a customer call, and ship a fix the same day Bonus points You've built coaching, behavioral, conversational analytics, or B2B SaaS products before You've worked with on-device or privacy-preserving inference You've fine-tuned or post-trained models for narrow, high-quality use cases You have strong opinions on the speech / audio stack — Whisper, Deepgram, Gemini-native, and what's coming next What we offer Competitive base (€60k–€95k) plus meaningful founding-team equity. Real ownership Direct work with four operator-founders who've done this before A product with real, paying users from day one, no "we'll get there" The kind of speed and access you only get pre-Series A Rotterdam-based role. We work in person often, this isn't a remote position Alaura is a company, born out of House of Founders .

Spreek jij native of near-native Nederlands? Lees dan verder! Vind jij ook dat vakmanschap een kernwaarde is van goed software development en onmisbaar is bij het oplossen van complexe business vraagstukken? Vind jij ook dat jouw bijdrage je klanten een voorsprong geeft en jouw impact daarom ook echt gezien en gewaardeerd mag worden? Ben jij al zo’n ontwikkelaar of wil je dat worden, dan willen wij graag weten wie je bent om te kijken of we iets voor elkaar kunnen betekenen. Word onderdeel van ons dynamische team en help ons effectieve en gebruiksvriendelijke software te schrijven voor de B.V. Nederland. Jouw rol in ons team Wij maken graag kennis met nieuwsgierige Medior en Senior ontwikkelaars die nog lang niet uitgeleerd zijn en zich herkennen in onderstaande mindset: Groei en ontwikkeling zijn kernwaardes voor jou. Werken bij een organisatie die jou hierbij optimaal in ondersteunt is helemaal jouw ding; Je vaardigheden en inzichten zijn vooral waardevolle tools om successen te behalen; Je bent positief kritisch en constructief ingesteld; Je bent niet bang van de gebaande paden af te wijken en je snapt het verschil tussen gelijk hebben en gelijk krijgen; Je switcht makkelijk tussen zelfstandig en in teamverband werken. Je biedt niet alleen hulp, maar vraagt er ook om; Je focus ligt niet alleen op je opdrachtgever, maar juist ook bij de eindgebruiker. Jouw werk maakt juist daar de meeste impact. Hoe jij ons team versterkt Je hebt een afgeronde WO of HBO opleiding in IT en/of bedrijfskunde; Je voelt je volledig op je gemak met JAVA, Cof beide. Kennis van .NET is een pré; Je voelt je thuis binnen een Cloud Native omgeving, zoals OpenShift of Kubernetes; Je volgt nauwlettend de ontwikkelingen op het gebied van technieken, tools, platformen, talen & frameworks; Je krijgt een enorme boost van het ontwikkelen van een prachtige solution architectuur; Je bent natuurlijk gewend om Agile te werken; Je ontwikkelt graag clean code, zo vermijd je onnodig werk; Je kan functionele wensen samen met de Product Owner en teamgenoten vertalen naar heldere technische en functionele eisen; Uitstekende beheersing van zowel de Nederlandse als de Engelse taal in woord en geschrift. Waarom CGI CGI is één van 's werelds grootste IT-consultancy bedrijven. Onze mensen houden Nederland draaiende. Overheidsinstellingen, banken, lucht- en ruimtevaart, infrastructurele organisaties en energie- en productiebedrijven zijn klanten van CGI. We werken aan interessante projecten die het alledaagse leven van miljoenen mensen raken. We zijn regionaal aanwezig, versterkt met wereldwijde domeinkennis, ons ecosysteem en collega's verspreid over de hele wereld. We zijn trots op de impactvolle projecten die we samen met onze collega’s tot een succes maken. Bij CGI hechten we veel waarde aan diversiteit en inclusie, omdat dit niet alleen de samenwerking bevordert, maar ook vaak leidt tot betere resultaten. We kijken uit naar jouw bijdrage aan ons team! Werken in kleine zelfsturende teams bestaande uit experts in je vakgebied. De regie over je eigen carrière met daarbij de ruimte om jezelf te blijven ontwikkelen. Je werkt met de nieuwste technologieën. Een uitstekend salaris en aantrekkelijke secundaire arbeidsvoorwaarden Direct een vast contract Parttime mogelijkheden En de mogelijkheid om CGI aandeelhouder te worden Waar kom je terecht Vanuit deze unit bedienen we een aantal grote klanten in de Randstad en Noord-Nederland. We bieden een uitdagende, dynamische en afwisselende omgeving waarbij jouw persoonlijke ontwikkeling centraal staat. Naast ons werk bij en voor de klant delen we kennis en discussiëren we met collega’s binnen de community over nieuwe ontwikkelingen. Sluit je aan bij ons team van experts en solliciteer direct! Meer informatie over de inhoud van de vacature? Neem contact op met Kees Koster (Director Consulting Services) via [email protected].

Spreek jij native of near-native Nederlands? Lees dan verder! Ben jij een Cloud Engineer die wil werken aan bedrijfskritische systemen met maatschappelijke impact? Bij CGI zoeken we een professional die wil bijdragen aan het ontwerpen, bouwen en beheren van moderne IT-platformen binnen de sector Rail & Public Transport. Waar kom je terecht? CGI Rail, gevestigd in Rotterdam, werkt aan de transformatie van railsystemen die essentieel zijn voor de besturing van het Nederlandse spoorwegnet. Je komt te werken in onze hechte RailInfra Unit binnen de sector Rail & Public Transport. Hier werk je aan het vernieuwen van bestaande IT-systemen en het ontwikkelen van nieuwe platformen die cruciaal zijn voor de veiligheid, betrouwbaarheid en beschikbaarheid van het spoor. Onze systemen ondersteunen onder andere de aansturing van seinen en wissels, leveren realtime informatie aan treindienstleiders en vormen de basis voor simulatie- en opleidingssystemen. Binnen CGI Public Transport werken ongeveer 250 professionals aan innovatieve oplossingen om mobiliteit te verbeteren, capaciteit te vergroten en het spoor toekomstbestendig te maken. Wat breng je mee? HBO- of WO-opleiding in Informatica of een vergelijkbare richting Minimaal 3 jaar ervaring als Cloud Engineer, DevOps Engineer of vergelijkbare rol. Ervaring met cloudplatforms zoals Azure, AWS of GCP. Kennis van CI/CD, Infrastructure as Code en automatisering. Aantoonbare ervaring met Kubernetes en containertechnologie (Docker). Ervaring met hybride omgevingen (combinatie van on-prem datacenter en cloud). Ervaring met virtualisatieplatformen, bij voorkeur VMware vSphere/ESXi/vCenter en/of Microsoft Hyper-V. Ervaring met Linux-omgevingen en scripting. Goede communicatieve vaardigheden en een proactieve houding. Ervaring met werken in Agile/Scrum-teams. Goede beheersing van de Nederlandse taal. Een pre-employment screening maakt onderdeel uit van de sollicitatieprocedure Waarom CGI CGI is één van 's werelds grootste IT-consultancy bedrijven. Onze mensen houden Nederland draaiende. Overheidsinstellingen, banken, lucht- en ruimtevaart, infrastructurele organisaties en energie- en productiebedrijven zijn klanten van CGI. We werken aan interessante projecten die het alledaagse leven van miljoenen mensen raken. We zijn regionaal aanwezig, versterkt met wereldwijde domeinkennis, ons ecosysteem en collega's verspreid over de hele wereld. We zijn trots op de impactvolle projecten die we samen met onze collega’s tot een succes maken. Bij CGI hechten we veel waarde aan diversiteit en inclusie, omdat dit niet alleen de samenwerking bevordert, maar ook vaak leidt tot betere resultaten. We kijken uit naar jouw bijdrage aan ons team! We bieden je een vast contract, zodat je meteen baanzekerheid hebt. Parttime werken, bijvoorbeeld 32 of 36 uur per week is bespreekbaar, wij bieden jou graag die flexibiliteit. Daarnaast vinden wij het belangrijk dat iedereen bij ons zich eigenaar van hun eigen werk voelt. Letterlijk eigenaar, want bij CGI krijg je de mogelijkheid om aandeelhouder te worden en zo mee te delen in onze successen. Verder vinden wij het belangrijk dat jij geïnspireerd blijft, de dingen doet waar jij warm voor loopt en je kunt blijven ontwikkelen. Via onze CGI Academy kun je allerlei relevante trainingen volgen. Wat we nog meer te bieden hebben: een plek in een hecht team van professionals waar we samen met elkaar de verantwoordelijkheid voor de ontwikkeling van onze klanten en medewerkers dragen. Een team waarmee we klantverwachtingen kunnen overtreffen en ons binnen en buiten CGI op de kaart kunnen zetten. Een rol in ons CGI-verhaal! Samenvattend bieden wij jou: De kans om te werken in kleine zelfsturende teams bestaande uit experts in je vakgebied De regie over je eigen carrière met daarbij de ruimte om jezelf te blijven ontwikkelen Je werkt met de nieuwste technologieën Een uitstekend salaris en aantrekkelijke secundaire arbeidsvoorwaarden Direct een vast contract Parttime mogelijkheden En de mogelijkheid om CGI-aandeelhouder te worden Sluit je aan bij ons team van experts en solliciteer direct! Meer informatie over de inhoud van de vacature? Neem contact op met Yashvir Sewcharan, Director Consulting Servcies via 0657104235 [email protected].

We're hiring two Senior AI-First Engineers to join our Core Team. Same role, same level, same bar. Together you'll be the engineering backbone of VSI as it goes from production-with-beta-users to public platform. Two superstars, not two pairs of hands - each of you should be able to own most of the surface area on your own, and together you should be unstoppable. Why this role exists VSI is real. It's in production with our internal ventures, our ~10 beta founders, and is about to be opened up to the world. Outstanding offers with corporates are converting into signed pilots. Q2 launch is locked. The gap between here and there is engineering velocity. We need two senior, AI-native engineers who can ship VSI from prototype-grade to production-grade, and who can keep shipping at full speed once paying customers and corporates show up. We're hiring two together, deliberately. Engineering teams of one don't ship platforms; they ship features. Two senior engineers, working side-by-side, on the same codebase, with shared ownership of architecture and quality, is how this gets built. We want two people who could each, in a pinch, hold the whole system in their head - and who choose to work as a pair because together they ship twice as fast, not half as much each. What you'll build Ship VSI to the world VSI is a multi-agent platform that turns founder conversations into structured venture intelligence. Today: Radar, Sentinel, Orbit, and Beacon agents in production. Company memory ~80% built. Onboarding flow under construction. Public launch in Q2. Your job, day one: get VSI from "works for us" to "works for thousands." Production-grade core agents. Harden Radar, Sentinel, Orbit, and Beacon. Ship company memory v1 complete. Ship the onboarding flow that lets a founder sign up and self-serve their way to value. Multi-tenant architecture. Today's platform serves a handful of ventures. Q3's platform serves hundreds. You design and ship that scale-out - across our 3-tier RBAC model (devops / organisation / workspace), our Prisma + Supabase data layer, and our soft-delete and venture-isolation guarantees. Real-time agent orchestration. Conversation in → ingest → transcription → agent analysis → living-document updates → UI, all in seconds, all reliable, across many concurrent founders. We're collapsing our background pipeline onto Vercel (functions, queues, cron) and rebuilding ingest as a first-class surface; you'll own that migration end-to-end. API / MCP / CLI surfaces. Founders and their own agents need to plug into VSI. You build the surfaces that make that possible - including the MCP server that exposes ventures, conversations, signals, artifacts, speakers, and reflections to external agents. Ship continuously, not in milestones VSI doesn't have a "v1 then quarterly releases" cadence. It ships every week. You'll work in a daily standup rhythm, on a single board, with weekly Friday ship days where every person presents what they shipped and one Claude skill they built. Make the studio faster Every internal workflow we run sales, recruiting, founder onboarding, content production should be running on AI by default. You'll occasionally surface from VSI work to wire up new internal automations that compound the studio's velocity. Tech stack TypeScript end-to-end, with Python where the AI tooling demands it. The whole platform runs on Vercel and Supabase; Next.js and React on the front, Next.js API routes and background functions on the back, Postgres + pgvector for data and embeddings, Prisma as the ORM, Zod for validation, S3 for object storage. Anthropic, Gemini, and Assembly AI on the model side. Custom agent orchestration today; LangGraph or LangChain only where they earn their keep. We care about engineering judgement over specific stack experience. The right engineer picks up our exact tools in a week. Day one, you live in Claude Code or Cursor, daily, not occasionally. What we're looking for Must-have 5+ years building production platforms. You've shipped something real that handles real load. Multi-tenant SaaS, AI platforms, data infrastructure, or developer tools. AI-native by default. Claude Code, Cursor, agent frameworks. These are how you work, not what you're "learning." You build your own skills and workflows. You ship more in a day with AI than you used to ship in a week without it. Full-stack range — and we mean it. You can move between React frontend, Next.js API routes, Vercel background functions, Postgres + pgvector schema design, and AI integration without slowing down. We don't need specialists right now. We need superstars who can own a feature end-to-end, from migration to UI to agent prompt. AI agent integration experience. LangGraph, LangChain, custom orchestration, RAG pipelines, vector DBs. You've built with these, debugged the failure modes, and have opinions on what works. Database design rigour. Relational + vector. You design schemas that scale and queries that don't fall over. You know why embedding::text over the wire is a six-figure egress mistake, and you'd rather write the pgvector ANN query than fetch and recompute in JS. Senior judgement. You make architecture calls and own them. You don't need a PM to scope your work or a tech lead to unblock you. You collaborate fast, write fast, decide fast. On-site in Rotterdam. This is non-negotiable. Builders runs on daily in-person standups and weekly ship days. Remote is the exception, not the rule. Same as for everyone on the Core Team. Strong plus Experience building agent platforms, AI products, or developer tools at production scale. Background with real-time transcription, conversation intelligence, or workflow automation. Deep Vercel experience: functions, queues, cron, edge, at scale, not just hobby projects. MCP server / client experience, or any track record exposing structured data to external agents. Open source contributions or a personal portfolio of shipped AI tools, skills, or agents. Founder or co-founder experience, you've been close enough to a 0-to-1 to know what builds momentum and what kills it. What you bring Ship-first instinct. You'd rather ship something rough on Friday than something polished in three weeks. You polish after it's in production. Frame-aware mindset. You understand product context. You know when to push back on a spec and when to just build it. Compounding habits. When you do something twice, you turn it into a skill. When you write a function twice, you generalize it. Every week leaves the next one faster. High-trust collaboration. You and your engineering counterpart work on the same codebase, share architecture decisions, and review each other's work. No silos, no kingdoms, no hero engineering. But each of you could carry the codebase alone if you had to. Direct communication. Short Slack messages. Loom over docs. Decisions in seconds, not days. Why join Builders as Platform Engineer? A platform with a real shot VSI is the most ambitious product bet in European venture studios. There's no comparable platform anywhere in the EU. You'd be one of two engineers shipping it from beta to public. A team built for speed Daily standups. Weekly ship days. Claude-first. No corporate scaffolding. No design review committees. The whole studio operates with the assumption that AI-native execution is the floor, not the ceiling. Rotterdam, in-person Lively office next to Rotterdam Central. Founders in the room. Beta users down the hall. Whiteboards covered in agent flow diagrams. Friday ship-day drinks. Compensation Senior salary range — €60–85k base depending on experience. Equity — meaningful, long-dated, in Builders' STAK structure. Tool budget — every AI tool, every IDE, every model API. We never want a tool to be the bottleneck. The Builders spirit Ambitious and fast, but with joy in the process. We value creativity, collaboration, and curiosity. We move quickly, embrace friction, celebrate progress. This is a moment. Help us build something people copy.

Ben je klaar voor een spannende uitdaging? Sluit je aan bij een van onze teams als Software Engineer en omarm de opwindende wereld van complexe projecten binnen diverse branches. Jouw rol in onze teams Als Software Engineer speel je een cruciale rol in het ontwerpen, implementeren en beheren van complexe IT vraagstukken binnen onze sectoren, zoals manufacturing, overheid, olie&gas, nutsbedrijven, telecom etc. Jouw creativiteit en expertise zijn de drijvende kracht achter innovatieve oplossingen die het dagelijks leven van talloze mensen verbeteren. Sluit je bij ons aan en wees een katalysator voor verandering in de wereld van onze klanten. Hoe jij ons team versterkt Ben jij de ontbrekende schakel in ons team? Als ervaren Software Engineer breng je niet alleen jouw technische expertise mee, maar ook een set vaardigheden en eigenschappen die ons team naar nieuwe hoogten brengt. Je beschikt over een relevante afgeronde HBO- of WO-opleiding. Met minstens 5 jaar ervaring op zak, ben je goed voorbereid op de uitdagingen die voor je liggen. Samenwerking zit in jouw DNA. Je voelt je thuis in een wendbare omgeving en begrijpt het belang van teamwork in het bereiken van doelen. Je hebt ervaring met containeroplossingen, netwerken, CI/CD en coding (bijv. GO, Python, Bash, Perl) Ervaring met OT en IT deployment van software naar laptop platformen. Kennis van tools zoals SMP, Active Directory, Domein en netwerkstructuur is een mooie toevoeging aan je vaardigheden. Goede communicatie is jouw sleutel tot succes. Je beheerst de Nederlandse taal uitstekend en weet precies hoe je je ideeën en inzichten duidelijk kunt overbrengen. Ben jij klaar om je stempel te drukken in een team dat streeft naar technische excellentie? Sluit je aan bij ons en laat jouw expertise en toewijding schitteren in de wereld van softwareontwikkeling. Samen bouwen we de toekomst! Waarom CGI CGI is één van 's werelds grootste IT-consultancy bedrijven. Onze mensen houden Nederland draaiende. Overheidsinstellingen, banken, lucht- en ruimtevaart, infrastructurele organisaties en energie-, transport- en productiebedrijven zijn klanten van CGI. We werken aan interessante projecten die het alledaagse leven van miljoenen mensen raken. We zijn regionaal aanwezig, versterkt met wereldwijde domeinkennis, ons ecosysteem en collega's verspreid over de hele wereld. We zijn trots op de impactvolle projecten die we samen met onze collega’s tot een succes maken. Bij CGI hechten we veel waarde aan diversiteit en inclusie, omdat dit niet alleen de samenwerking bevordert, maar ook vaak leidt tot betere resultaten. We kijken uit naar jouw bijdrage aan ons team! Werken in kleine zelfsturende teams bestaande uit experts in je vakgebied. De regie over je eigen carrière met daarbij de ruimte om jezelf te blijven ontwikkelen. Je werkt met de nieuwste technologieën. Een uitstekend salaris en aantrekkelijke secundaire arbeidsvoorwaarden. Direct een vast contract. Parttime mogelijkheden. En de mogelijkheid om CGI aandeelhouder te worden. Bij CGI ontwikkelen we slimme, digitale oplossingen voor veel van onze klanten waardoor zij voorbereid zijn op de toekomst. Stap jij aan boord? Sluit je aan bij ons team van experts en solliciteer direct! We nemen dan zo snel mogelijk contact met je op. Vragen over de functie? Stel ze dan aan Ferhun Dogan, Recruitment Business Partner, telefonisch 06-11484743 of via [email protected].

Traditional compliance is slow and manual. At WorkFlex, we have built the platform that automates it. We are looking for experienced Fullstack Product Engineers who want to build high-scale systems using the most advanced agentic workflows available. The Lifestyle We are a remote-only company. You can work from a beach, a mountain, or your home office. You have 183 days of workations per year because we believe the best code is written by people who are inspired by their surroundings. 🤖 The Workflow: Orchestrating Agents over Manual Coding At WorkFlex, we operate differently. We don't want you spending 8 hours a day manually typing boilerplate. Agentic Excellence: We use tools like Claude Code, Cursor, and Lovable to handle the heavy lifting. You are the orchestrator who guides the AI to build scalable, secure, and elegant systems. IDE-Light: We focus on the Architect’s Mind. If you are a senior dev who is already prompt-engineering your way to 10x productivity, you will fit right in. If you haven't mastered agents yet but are eager to learn the future of engineering, we will help you get there. 🎯 What will you do Own the Product: You will be part of an autonomous team of 5, reporting to an Engineering Team Lead. You are not a ticket-taker; you work on an equal footing with Product Managers to decide what we build. Fullstack Stewardship: You will balance between Java (Spring Boot) and Angular (TypeScript). Most days it is a 50/50 split, but you and your agents are comfortable shifting where the impact is needed most. High-Stakes Security: Since we handle sensitive global compliance data, you own the security of your applications. From integrating best practices to thinking like a pentester, you ensure our platform remains a fortress. End-to-End Delivery: From initial system design to cloud infrastructure and deployment, you and your team own the full lifecycle. ⭐What You Need to Succeed Experience: 3+ years of professional experience. You have enough battle scars to know when code is good and when it is simply hallucinated by an AI. Agentic Curiosity: You are either already using AI agents to accelerate your workflow or are deeply excited to start. The Tech Stack: Solid experience with Java, Spring Boot, and Angular/TypeScript. You should be comfortable moving between the backend and frontend seamlessly. Ownership: You thrive in a results-oriented, meeting-light culture. You don't need a manager to tell you what to do next. Security Mindset: You do not need to be a security researcher, but you must take pride in writing secure code and understanding modern threat landscapes. Communication: You are fluent in English. 🚀 Why join us at WorkFlex Contribute to building the future of the fastest-growing HR Tech start-up in Germany backed by prominent customers such as Scout24, Biontech, and others, as well as funding from top-tier VC and angel investors. Competitive salary, dependent on location. A monthly budget of €200 to spend on 🏢 co-working space and/or 🏃 ♀️ sports subscriptions. VSOPs (Virtual Stock Options) to share in our success. Work from anywhere in a remote-only company and go on workations for up to 183 days a year. Merit-based culture with substantial growth opportunities. Trust-based work – organize your own schedule. We want to celebrate results, not hours spent working. Collaborative team culture where everyone's input is valued to shape the sales efforts, approaches, and processes.

The Process Innovation Lead Analyst will report into the Senior Lead Analyst and the role will be located in Rotterdam. He/she will be part of a team of 2 colleagues. The Lead Analyst will interact with the subject matter expertise and Continuous Improvement team to design, build and maintain data pipelines, models, and transformations to deliver process mining insights through the Celonis cloud solution, and may automate repetitive manual processes using automation tools, including but not limited to Robotic Process Automation (RPA), Alteryx and Power Automate.  The role combines the skillsets of a data engineer with a business analyst to drive process innovations and insights for optimizing business processes.   A Day in the Life The Data Analytics and Automation Team (DA&A) combines data, technology, and analysis with business acumen to drive process innovation by automating work streams and generating insights for better decision-making. The team also governs and supports key financial reporting systems used by Finance and may act as focal point in strategic initiatives/projects. A broad range of business areas will be supported, including Finance, Procurement, Supply Chain, HR, and other corporate services. The Lead Analyst will support the Senior Lead Analyst and work closely with others in DA&A as well as IT teams to ensure compliance and alignment on the optimal solution. RESPONSIBILITIES AND ACCOUNTABILITIES: General Stay current with Intelligent Automation technologies, capabilities, business applications, process mining; apply innovations in these areas; and share knowledge with other team members. Area of Expertise, Requirements Intermediate level experience in ingesting, preparing, transforming, and modeling data from various sources to enable process mining, process improvement, and data-driven decision-making; Apply data engineering skills to design and build data models, process models, and business objects, and translate process behavior into clear insights for stakeholders; Automate processes using Intelligent Automation tools including but not limited to Robotic Process Automation (RPA), Alteryx and Power Automate; Collaborate with subject matter expertise, the Continuous Improvement team, and other developers, to design and implement an optimized future state process or workflow, and ensure compliance for SAP security / roles / interface access / licenses are obtained to facilitate development; Enable business analysts by creating custom reports and presentations accompanied by strong data visualization and storytelling in Celonis; Maintain technical documentation for process mining, process discovery document (PDD), step-by-step, project kick off, test procedures and scenarios, run book, project sign off sheet, etc.; Use machine learning techniques to further optimize business processes. You Bring This Value Bachelor's Degree in Engineering, Mathematics, Computer Science, or a related science/technical discipline (including Finance / Accounting); SQL and data modeling skills required; Certifications in Celonis Data Engineering, Automation Anywhere, or similar is preferred; Demonstrated 3+ years’ experience in field of business processes optimization, data mining and analytics or with Intelligent Automation Capabilities and AI solutions; Demonstrated 2-4 years’ experience with either SQL, Python, R, or VBA Power query; Demonstrated experience with databases and SAP; Demonstrated experience in data science, data engineering, and data analytics using software like Celonis, Alteryx, Power Automate, or Automation Anywhere; Familiar with cross functional flowcharts for process mapping like VISIO, BPMN; Familiar with Intelligent Automation Capabilities and AI solutions such as workflow automation, RPA, RDA, OCR, ML, AI, Intelligent Data extraction, intelligent assistants, etc.; Languages English, additional language preferred. Competencies To be successful in this role you must recognize yourself in the following profile:  The role requires strong oral and written communication skills, including the ability to explain technical concepts in clear business terms. A solid understanding of end-to-end business processes such as Source to Pay, Lead to Cash, and Record to Report is preferred. The candidate should be comfortable working in geographically diverse, cross-functional teams across both functional and technical domains. Experience or knowledge of the chemical industry is considered an additional advantage. Candidates will be assessed on the following LYB competencies:   Build Partnerships  Deliver Results  Drive Innovation  Grow Capabilities  Promote Inclusion  What We Offer We offer an environment where we encourage personal and professional growth and where you will be rewarded for your performance and results. You will have the possibility to work with specialist on all fields to develop innovative solutions and to extend your national and international network. In addition, we offer you a competitive salary package. The Company's Global Remote Work Policy allows eligible employees the option to work up to two days a week from home. LyondellBasell is committed to advancing diversity, equity & inclusion (DEI) to ensure a positive experience for all employees. Interested? Please send us your resume via the application button.  Please feel free to contact James Smeets, Talent Acquisition Consultant at james.smeets @ lyondellbasell.com for more details. Would you like to apply? Just send us your motivation and resume via the application button. Only applications through this application button will be taken into consideration. LI-Hybrid  LI-JS2  The recruitment process consists of an initial phone screening and business interviews before proceeding to a possible job offer. A background check will be part of the process as well.   LyondellBasell does not accept or retain unsolicited resumes or phone calls and/or respond to them or to any third party representing job seekers.

The Data Engineers at Darktrace help design and develop cloud-native data infrastructure that powers AI/ML models within Darktrace produts. They build scalable systems to collect, store, and process data, handling datasets with billions of rows, and supporting the full ML model lifecycle. The position is part of the R&D team in The Hague, and you will be expected to work a minimum of 2 days a week in office. What will I be doing: Your work will lay the foundation for future product innovation and support the rollout of model-driven features in the Darktrace products by ensuring reliable data flows from source to model to production. You will help build a data backbone that is easily maintainable and extensible while upholding high standards for data quality, scalability, and cost efficiency. You will work closely with Data Scientists, MLOps Engineers, and Software Engineers to ensure seamless integration between data infrastructure, ML workflows and the data backend. You’ll contribute to architectural discussions and help implement robust, maintainable solutions aligned with data engineering best practices. Additionally, you will be responsible for: Contributing to the design, implementation, and maintenance of data pipelines that power AI/ML models within the Darktrace products, Helping build and maintain cloud-native data platforms that integrate data from various internal and external sources, Designing systems with scalability in mind to support growing data volumes and evolving ML workloads, Optimizing data pipelines for reliability, scalability, and cost efficiency, Assisting in setting up and maintaining CI/CD pipelines for data and ML workloads, with guidance from MLOps and DevOps teams, Collaborating closely with Data Scientists, MLOps Engineers, Software Engineers, and Product Owners to understand data needs and deliver solutions Participating in knowledge sharing and contribute to continuous improvement by applying data engineering best practices. What experience do I need: To succeed in this role, you’ll need a strong foundation in data engineering and cloud technologies, along with fluency in English and proficiency in Python. You should be able to demonstrate: Hands-on experience with data pipelines (ETL/ELT) and workflow orchestration tools such as Apache Airflow, Solid knowledge of SQL/NoSQL databases, data modeling, and schema design, Familiarity with streaming technologies (e.g., Kafka), containerization (Docker, Kubernetes), and at least one major cloud platform - preferably Google Cloud Exposure to big data frameworks (Spark, Beam), infrastructure-as-code tools (Terraform), and MLOps practices is a plus. Beyond technical expertise, the role requires strong analytical and critical thinking skills, effective project management, and clear communication of technical findings. You should be results-oriented, collaborative, and adaptable, with a proactive approach to knowledge sharing and documentation. Curiosity and a willingness to learn new technologies will help you thrive in this dynamic environment.

Own the technical target-state: You'll be the architect for Eneco's Data & AI platforms - designing one coherent, secure, compliant target state across Snowflake, Databricks, dbt, Airflow and Collibra. Deep technical architecture, real decision rights, zero pressure to also run the product backlog (that's owned by Platform Owners).  Our GenAI platform is evolving into an AI Product Control Plane and Agent Factory - you'll design the technical patterns, contracts and enforced gates that turn today's golden paths into reusable templates teams can ship agents on, safely and at scale.  Make governance and data-as-a-product first-class. Design domain-aligned data products and scaffolding for end-to-end governance where GDPR, EU AI Act and J-SOX controls are inherited by design, not bolted on - closing the gap from access-control tooling to real, lineage-aware governance.  Why choose Eneco? At Eneco, we're accelerating the energy transition through data and AI-driven decision-making at scale, guided by our One Planet plan and our ambition to become the first CO₂-neutral energy company by 2035. Our Data & GenAI Platforms are at the heart of this transformation, enabling product teams to deliver intelligent, secure, and compliant solutions that support the future of sustainable energy. As a Senior Architect – Data & AI Platforms, you will set the architectural vision and golden paths for Eneco’s data and AI ecosystem. You’ll work closely with Platform Engineering, Enterprise IT, and product teams to shape a scalable, interoperable, and future-proof platform landscape. In an environment that values collaboration, innovation, and continuous improvement, you will play a defining role in ensuring our platforms are trustworthy, cost-efficient, and enterprise-grade – empowering teams to innovate with confidence and speed. What you’ll do As a Senior Architect – Data & AI Platforms, you will own the architectural direction and evolution of Eneco’s Data & GenAI Platforms. You will define the target architecture and roadmap that enables high-velocity delivery of data, analytics, ML, and GenAI solutions while ensuring compliance, security, and efficiency. You will lead the design of a Lakehouse-centric ecosystem integrating technologies such as Databricks, Snowflake, Collibra, dbt, Airflow, and the Microsoft AI ecosystem (Copilot Studio, AI Foundry, Power Platform). A key focus will be building and scaling the GenAI platform, establishing standardized patterns for RAG, agent workflows, and LLMOps that enable product teams to rapidly deploy safe and reliable AI solutions. Through platform thinking and hands-on expertise, you’ll drive the industrialization of the modern data stack, embed governance by design, and improve developer experience through golden paths, templates, and reference architectures. You will act as a trusted advisor across the organization, coaching teams and contributing to Eneco’s strategic architecture vision. Is this about you? 10+ years of experience in data, analytics, or AI architecture, with at least 5 years leading modern cloud data platforms at scale. Deep expertise with Databricks, Snowflake, dbt, Airflow, and Collibra, including performance optimization, cost control, and governance design. Proven experience delivering GenAI and LLMOps platforms (RAG, vector search, prompt orchestration, evaluation frameworks, and guardrails), preferably on Azure. Strong knowledge of data governance, privacy and compliance (GDPR), lineage, metadata management, RBAC/ABAC, and policy-as-code. Proficiency with CI/CD and Infrastructure as Code (GitHub Actions, Azure DevOps, Terraform/Bicep) and platform SRE practices. Experience working across engineering, product, security, and enterprise IT stakeholders with strong communication and influencing skills. Deep understanding of architectural patterns such as Lakehouse, data mesh, event-driven design, CDC, and contract-first APIs. A pragmatic, solution-oriented mindset with a strategic vision for scalable, compliant platforms. Nice to have: Experience in the energy or utilities sector. Knowledge of Azure OpenAI integrations and enterprise search. Familiarity with NIS2 implications for critical infrastructure. Dutch language proficiency. You’ll be responsible for Defining and owning the target architecture and evolution roadmap for Data & GenAI Platforms, covering ingestion, transformation, orchestration, storage, serving, observability, and governance. Architecting and scaling a Lakehouse-based design interoperating with Databricks and Snowflake for analytics, ML, and serving use cases. Building and formalizing the GenAI ecosystem, including standardized RAG patterns, agent architectures, and LLMOps frameworks with strong safety and compliance guardrails. Establishing application patterns and “paved-road” templates that allow product teams to rapidly deploy AI environments and workflows. Industrializing the modern data stack with standardized dbt modeling practices and Airflow orchestration conventions. Implementing observability and FinOps monitoring for pipelines, models, cost control, quality, compliance, and performance. Operationalizing data governance through Collibra (or equivalent), embedding GDPR-compliant privacy-by-design and policy enforcement mechanisms. Ensuring interoperability with enterprise platforms, identity management, ITSM, and security standards in partnership with Platform Engineering and Enterprise IT. Leading the Architecture Community, sharing patterns, reviewing designs, mentoring teams, and driving adoption of best practices. Defining and tracking architecture success metrics such as reliability, time-to-value, cost efficiency, security, and reuse rates. This is where you’ll work You will join Eneco’s Data & AI domain, a central hub driving the company’s digital transformation and enabling smarter, sustainable energy solutions. Within this environment, you’ll collaborate closely with platform engineers, data engineers, AI specialists, product teams and enterprise IT to shape the future of Eneco’s data and AI capabilities. The culture is highly collaborative and ambitious, combining technical excellence with a strong sense of purpose: accelerating the energy transition. You’ll work in a hybrid setup from our Rotterdam office, where innovation, knowledge-sharing and continuous improvement are part of everyday practice — giving you the space to influence strategy, architecture and real-world impact at scale.

For this position we are also open for an interim contractor solution. ZZP. Preferred startdate asap. To keep pace with the soaring demand for semiconductor performance and precision, Nearfield Instruments is developing and building cutting-edge 3D metrology systems. As a seasoned engineer in the mechatronics team, you will take the technical lead for one or more critical modules or subsystems in our revolutionary machines. Bridging the gap between system-level ambitions and design execution, you'll translate performance requirements into clear, realizable concepts — and ensure they’re delivered with excellence. Would you like to work at the forefront of high-tech innovation while playing a key role in our next stage of growth? Join us and lead the development of next-generation metrology solutions with direct impact on our clients and the semiconductor industry worldwide. What you’re going to do As a Senior Mechatronics Engineer, you are technically responsible for a subsystem or module; from first concept to volume production and beyond. Working closely with System Engineering and Architects, you will translate system-level KPIs into innovative mechatronic solutions. You will participate in multidisciplinary teams to design and realize complex high-precision modules, ensuring they meet ambitious targets for performance, reliability, manufacturability, and cost.   Your main responsibilities include: Translating performance requirements into subsystem concepts, functional architectures, and engineering requirements. Taking technical ownership of high-precision motion modules, ensuring alignment between disciplines and stakeholders. Designing and integrating advanced mechatronic solutions involving air bearings, precision mechanics, actuation, sensing, and control systems. Making key design decisions regarding motion system architecture, dynamics, vibration control, thermal stability, sensing, actuation, and system integration. Driving the development of precision positioning systems capable of achieving demanding accuracy and stability requirements. Leading design trade-offs between performance, manufacturability, reliability, risk, and cost. Performing system modelling, simulation, testing, and validation to verify performance and identify improvement opportunities. Shaping subsystem roadmaps in line with company and customer technology roadmaps. Coaching and guiding engineers within project teams by reviewing designs, simulations, and integration plans. Supporting industrialization, validation, and successful release of subsystems into manufacturing and field use. Collaborating closely with System Architects, Control Engineers, Software Engineers, and Precision Mechanics specialists to deliver technically robust solutions. Job requirements Who you are You are a systems thinker with a strong mechatronics background and a passion for precision engineering. You combine analytical depth with a practical, hands-on mentality, enjoying the challenge of translating complex requirements into tangible solutions. You thrive in multidisciplinary, high-tech environments where performance, innovation, and technical ownership go hand in hand.   You Have MSc or PhD in Mechatronics, Mechanical Engineering, Control Engineering, Precision Engineering, or a related field. At least 5 years of relevant experience in the development of high-precision mechatronic systems or motion platforms.   Strong expertise in areas such as: Mechatronic system architecture and subsystem design Precision motion systems and positioning technology Air bearing technology and precision stage design Dynamics, vibration analysis, and structural behaviour Precision sensing and actuation systems Motion control and system integration System modelling, simulation, and experimental validation Experience in multidisciplinary development projects from concept through qualification and release. Proficiency with modelling and simulation tools such as MATLAB, Simulink, FEM, and Python. Strong communication and technical leadership skills. Excellent command of English, both written and spoken.   Preferred Experience: Air bearing-based motion systems. Semiconductor, metrology, or other high-precision equipment. Precision stage development and integration. Cleanroom and contamination-controlled environments. High-performance mechatronic systems combining mechanics, controls, electronics, and software.

For this position we are also open for an interim contractor solution. ZZP. Preferred startdate asap. To keep pace with the soaring demand for semiconductor performance and precision, Nearfield Instruments is developing and building cutting-edge 3D metrology systems. As a seasoned engineer in the mechatronics team, you will take the technical lead for one or more critical modules or subsystems in our revolutionary machines. Bridging the gap between system-level ambitions and design execution, you'll translate performance requirements into clear, realizable concepts — and ensure they’re delivered with excellence. Would you like to work at the forefront of high-tech innovation while playing a key role in our next stage of growth? Join us and lead the development of next-generation metrology solutions with direct impact on our clients and the semiconductor industry worldwide. What you’re going to do As a Senior Mechatronics Engineer, you are technically responsible for a subsystem or module; from first concept to volume production and beyond. Working closely with System Engineering and Architects, you will translate system-level KPIs into innovative mechatronic solutions. You will participate in multidisciplinary teams to design and realize complex high-precision modules, ensuring they meet ambitious targets for performance, reliability, manufacturability, and cost.   Your main responsibilities include: Translating performance requirements into subsystem concepts, functional architectures, and engineering requirements. Taking technical ownership of high-precision motion modules, ensuring alignment between disciplines and stakeholders. Designing and integrating advanced mechatronic solutions involving air bearings, precision mechanics, actuation, sensing, and control systems. Making key design decisions regarding motion system architecture, dynamics, vibration control, thermal stability, sensing, actuation, and system integration. Driving the development of precision positioning systems capable of achieving demanding accuracy and stability requirements. Leading design trade-offs between performance, manufacturability, reliability, risk, and cost. Performing system modelling, simulation, testing, and validation to verify performance and identify improvement opportunities. Shaping subsystem roadmaps in line with company and customer technology roadmaps. Coaching and guiding engineers within project teams by reviewing designs, simulations, and integration plans. Supporting industrialization, validation, and successful release of subsystems into manufacturing and field use. Collaborating closely with System Architects, Control Engineers, Software Engineers, and Precision Mechanics specialists to deliver technically robust solutions. Job requirements Who you are You are a systems thinker with a strong mechatronics background and a passion for precision engineering. You combine analytical depth with a practical, hands-on mentality, enjoying the challenge of translating complex requirements into tangible solutions. You thrive in multidisciplinary, high-tech environments where performance, innovation, and technical ownership go hand in hand.   You Have MSc or PhD in Mechatronics, Mechanical Engineering, Control Engineering, Precision Engineering, or a related field. At least 5 years of relevant experience in the development of high-precision mechatronic systems or motion platforms.   Strong expertise in areas such as: Mechatronic system architecture and subsystem design Precision motion systems and positioning technology Air bearing technology and precision stage design Dynamics, vibration analysis, and structural behaviour Precision sensing and actuation systems Motion control and system integration System modelling, simulation, and experimental validation Experience in multidisciplinary development projects from concept through qualification and release. Proficiency with modelling and simulation tools such as MATLAB, Simulink, FEM, and Python. Strong communication and technical leadership skills. Excellent command of English, both written and spoken.   Preferred Experience: Air bearing-based motion systems. Semiconductor, metrology, or other high-precision equipment. Precision stage development and integration. Cleanroom and contamination-controlled environments. High-performance mechatronic systems combining mechanics, controls, electronics, and software.

Build production-grade machine learning solutions using Databricks, MLflow, AWS and modern MLOps practices. Own the complete machine learning lifecycle, from scalable data processing and model training to production deployment and monitoring. Collaborate in a multidisciplinary engineering team where Machine Learning Engineers, Data Scientists and Data Engineers build reliable, scalable AI solutions together. Why choose Eneco? At Eneco, we are committed to accelerating the energy transition. Through our One Planet strategy, we aim to become climate neutral by 2035 – together with our customers. Digital technology and data play a key role in achieving this ambition. Within the Energy Management Systems domain, we develop reliable, scalable and intelligent data-driven solutions that support Eneco's digital products and services. As a Machine Learning Engineer, you will help bring machine learning solutions into production by building the platforms, tooling and engineering practices that enable models to deliver reliable business value. Working closely with Data Scientists, Data Engineers and Software Engineers, you will build and operate production-grade machine learning solutions while helping shape the future of MLOps within Eneco. What you’ll do Design, build and maintain end-to-end machine learning pipelines for training, validation and production inference in both batch and real-time environments. Develop scalable MLOps capabilities, including CI/CD pipelines, automated testing, model versioning, deployment strategies, drift detection and rollback mechanisms. Build and operate Databricks-based data processing and machine learning workflows at scale. Manage MLflow for experiment tracking, model registry and reproducible machine learning deployments. Deploy, operate and optimize machine learning workloads on AWS while balancing performance, scalability and cost. Develop scalable feature engineering pipelines, data contracts and feature stores, including Scala-based ETL pipelines where applicable. Build monitoring, alerting and observability for production models, including model performance, latency, throughput, and data and model drift. Work closely with Data Scientists to productionize machine learning models, provide feedback on production constraints and continuously improve deployed solutions. Perform post-deployment analyses to evaluate and improve model performance and operational reliability. Contribute to platform improvements, automation and MLOps best practices across the team. Mentor fellow engineers and contribute to a strong engineering culture. Is this about you? You are passionate about building reliable production systems and enjoy bringing machine learning solutions into production. You combine strong software engineering skills with hands-on MLOps experience and thrive in multidisciplinary teams where engineering and data science come together. 4+ years professional experience in ML engineering; 2+ years owning MLOps/production ML systems. Hands-on experience with Databricks (notebooks, jobs, clusters) for large-scale data processing and model training. Production experience with MLflow for experiment tracking and model registry. Strong AWS experience deploying and operating ML workloads. Proficient in Scala for data processing/ETL on Spark; production-quality code and familiarity with JVM ecosystem. Experience building CI/CD for ML and containerized deployments (Docker, Kubernetes). Practical knowledge of model monitoring, A/B testing, canary deployments, and data/model drift detection. Strong software engineering fundamentals: testing, design patterns, code reviews, and documentation. Excellent communication and collaboration skills. You’ll be responsible for Build, deploy, and maintain end-to-end ML pipelines for training, validation, and production inference (batch and real-time) Design and implement robust MLOps practices: CI/CD for models, model versioning, automated testing, drift detection, and rollback strategies. Implement and operate Databricks-based data processing and model training workflows at scale. Integrate and manage MLflow for experiment tracking, model registry, and reproducible runs. Design, deploy, and optimize ML workloads on AWS with cost and performance tradeoffs. Develop and maintain data contracts, feature stores, and scalable feature engineering pipelines (including Scala-based ETL where applicable). Build monitoring, alerting, and observability for model performance, latency, throughput, and data/label drift. Collaborate with data scientists to productionize models, provide feedback on model design for production constraints, and run post-deployment analyses. Mentor engineers on MLOps best practices and contribute to team-wide tooling and automation. This is where you’ll work You will join a multidisciplinary team of Machine Learning Engineers, Data Scientists, Data Engineers and Data Analysts within the Energy Management Systems domain. Together, you develop, deploy and operate machine learning solutions that support Eneco's digital products and services. Our team values collaboration, ownership and continuous learning. We encourage experimentation, knowledge sharing and continuous improvement while building reliable, scalable machine learning solutions that contribute to Eneco's ambition to accelerate the energy transition. What we have to offer Gross annual salary between €84.000 and €117.000 Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. FlexBudget Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you. Personal and professional growth Eneco is fully committed to help you in your personal and professional development. Hybrid working: home, office or abroad Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively. Want more information about our terms of employment? Here's what you get from us Work Where Everyone Matters When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You’re given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well. This is how you build your own future and a sustainable future at the same time. Together with 4,000 colleagues, each with their own talents and ideas, you work on our shared mission: speeding up the energy transition. We help customers become more sustainable faster, create innovative solutions, and seize new opportunities. Will you join us? The phases of our application procedure Want to know more about this job function? Contact our recuiter at: [email protected]

As an experienced TypeScript Backend Developer, you’ll be optimizing crucial parts of our website. You know your way around PHP, but your real superpower lies in designing and maintaining microservices in TypeScript. You make your colleagues happy by improving internal tools, so they have everything they need to offer our customers the very best service. What does a Backend Developer Typescript at Coolblue do? At Coolblue, you’ll be part of a close-knit, multicultural team of 3–7 developers as an experienced TypeScript Backend Developer. In our agile playground, you and your team are the masterminds behind the development of cool website features and the microservices that power them. You’ll regularly brainstorm with our Customer Journey Specialists and UX/UI Designers to create solutions that truly blow our customers away. Every day, you review pull requests, perform code reviews, and, together with your teammates, deliver the most beautiful and efficient code. Making an impact with your efficient and elegant TypeScript code. Writing automated tests, such as Unit tests, Integration tests, or End-to-End tests. Working in a cloud environment with AWS services like Lambda, SNS + SQS, DynamoDB, S3, and CloudFront. Solving problems using SOLID principles and design patterns to ensure top-notch code quality. Building microservices that work together seamlessly. You recognize yourself in the following At least 5 years of experience with TypeScript. Experience with Node.js and pure/vanilla PHP is a plus. You have a BSc or MSc, for example in Computer Science. You’re ready to further develop your technical and soft skills while coaching and helping your colleagues grow. You’re a hero at automating recurring tasks and integrating them seamlessly into CI/CD systems. You live in the Netherlands. This is what you’re looking for in a job Money. Working together in an international environment with colleagues from the Netherlands, Belgium, Spain, Brazil, Mexico, Italy, and many more. An extraordinarily good work environment. Where we interact as friends, and you can just be yourself. Monthly drinks, freshly prepared snacks, our legendary Coolblue parties and the best team activities. A fine balance between working at the office and working from home. Of course, we'll help you create the best home-office possible. Including desk chair, laptop and blue garlands. Plenty of room for your own ideas, initiatives, and choices. You do your work your way. Travel allowance, a retirement plan and an allowance when you work from home. 25 leave days. As long as you promise to come back. A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. We recommend just walking for 2 minutes, though. With over 100 training courses in our own Coolblue University, you become a little better every day. A discount on all our products.

About Nearfield Instruments Nearfield Instruments (NFI) is a fast-growing scale-up high-tech company. We design, develop, integrate, market and service advanced metrology machines. Our machines enable our customers - the world’s leading chipmakers – to increase the production yields, and thus, functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Where you will be working? Within our Design & Engineering department this role is part of the Software Group. The SW Group consists of roughly 40 engineers within several teams working on the areas of Machine Control, Device Control, Integration and Data Science. Our technology stack is based on Cand Python but our true passion lies making customer solutions. Here are the different aspects of our stack: Machine Control: business logic, UI and semiconductor-foundry communication logic of our machines, giving commands to device control. Device Control: governing the motion and measurement aspects of our machine in close collaboration with mechatronics engineers in cross disciplinary teams. Data Science: Converting signals into images into KPI’s for our customers. Integration: Making sure individually tested components work together and with our machine. Further, there are cross-cutting concerns of customer integrations, cybersecurity, computation, requirement gathering and AI where architects play a crucial role. What will you be doing? You will take a responsible for the architecture, design, and lifecycle management of one of the aspects above, while taking the lead in one of the cross-cutting concerns. At the same time, you will have a deep understanding of our domain, our machine and use this to perform requirement-analysis and come up with MVP-proposal so that we can truly be agile. Your responsibilities include: Collecting requirements from (Internal) Customers and translate product requirements to SW level requirements for large projects Making a high-level architecture and design to fulfill both SW level requirements and product requirements Leading the development of multiple features along with a handful of other developers Troubleshooting technical issues that involve software development, engineering tasks and product releases Driving software quality and reliability through structured testing strategies, validation, and continuous improvement Proactively identifying system-level risks and resolving complex technical issues Leading and supporting the integration of multi-disciplinary subsystems Acting as a mentor and escalation point for senior software engineers While software architecture is mostly a post-developer role, you are expected to stay hands-on and enjoy locking yourself in and turning your brilliant ideas in to production code. That said, we don’t care what language you have developed in as long as its modern. Why is this position interesting for you? You take ownership of complex technical systems and make architectural decisions You are recognized as a subject matter expert within the organization You work on high-performance mechatronic systems using advanced technologies You operate in an environment where engineering excellence and autonomy are valued Job requirements As a scaleup, we can provide phenomenal learning and development opportunities but can also be a hectic environment at times. You should understand agile quite well. You embrace the culture and keep working on following aspects such as customer collaboration, Individuals and interaction, responding to change over following a structured plan, prototyping/working solutions over comprehensive documentation. Education: Master’s degree or higher in Computer Science, Physics or Electronics Above 10 years of experience in software development Above 7 years of experience in software architecture and design Experience with modern software development practices, languages and tools (git, CI/CD, automated testing, JIRA, C, Python, PlantUML and use of LLMs) Outstanding communication skills: You can describe a complex technical topic in 2 sentences to a non-software person Above 7 years of experience with precision equipment or semiconductor industry Coaching ability, as a technical advisor, you make sure that the team stays up-to-date with relevant knowledge Ability to influence other lead engineers, managers and teams in the organization and convince them of your technical vision and direction

Nearfield Instruments (NFI) is a fast-growing scale-up high-tech company. We design, develop, integrate, market and service advanced metrology machines. Our machines enable our customers - the world’s leading chipmakers – to increase the production yields, and thus, functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Where you will be working? Within our Design & Engineering department this role is part of the Software Group. The SW Group consists of roughly 40 engineers within several teams working on the areas of Machine Control, Device Control, Integration and Data Science. Our technology stack is based on Cand Python but our true passion lies making customer solutions. Here are the different aspects of our stack: Machine Control: business logic, UI and semiconductor-foundry communication logic of our machines, giving commands to device control. Device Control: governing the motion and measurement aspects of our machine in close collaboration with mechatronics engineers in cross disciplinary teams. Data Science: Converting signals into images into KPI’s for our customers. Integration: Making sure individually tested components work together and with our machine. Further, there are cross-cutting concerns of customer integrations, cybersecurity, computation, requirement gathering and AI where architects play a crucial role. What will you be doing? You will take a responsible for the architecture, design, and lifecycle management of one of the aspects above, while taking the lead in one of the cross-cutting concerns. At the same time, you will have a deep understanding of our domain, our machine and use this to perform requirement-analysis and come up with MVP-proposal so that we can truly be agile. Your responsibilities include: Collecting requirements from (Internal) Customers and translate product requirements to SW level requirements for large projects Making a high-level architecture and design to fulfill both SW level requirements and product requirements Leading the development of multiple features along with a handful of other developers Troubleshooting technical issues that involve software development, engineering tasks and product releases Driving software quality and reliability through structured testing strategies, validation, and continuous improvement Proactively identifying system-level risks and resolving complex technical issues Leading and supporting the integration of multi-disciplinary subsystems Acting as a mentor and escalation point for senior software engineers While software architecture is mostly a post-developer role, you are expected to stay hands-on and enjoy locking yourself in and turning your brilliant ideas in to production code. That said, we don’t care what language you have developed in as long as its modern.

Bij PortalPlus, onderdeel van Topicus Onderwijs, bouwen we software die onderwijsinstellingen helpt grip te houden op communicatie, processen en studentdata. Van werving en aanmelding tot begeleiding en alumni. Ons platform ondersteunt mbo, hbo en wo bij het vormgeven van de volledige studentreis. Ontwikkelingen zoals Leven Lang Ontwikkelen en flexibel onderwijs vragen om technologie die blijft meebewegen. Daarom investeren we continu in innovatie en de verdere ontwikkeling van PortalPlus. Je werkt samen met zeven gedreven collega's aan één eigen SaaS-product met een duidelijke visie en lange termijn roadmap. Bij PortalPlus werk je niet voor verschillende klanten of tijdelijke projecten. Je bouwt samen met het team jarenlang aan hetzelfde platform, ziet de impact van jouw keuzes terug in de praktijk en hebt directe invloed op de technische koers en roadmap.

Als Data Engineer bij ons Monitoring Platform (PMP) project, ben je verantwoordelijk voor het ontwikkelen en onderhouden van de datastromen in ons platform. Dit platform verzamelt real-time data van de assets van de beheerder van de Rail Infrastructuur in Nederland, zoals stroomverbruik metingen van wissels en bruggen en data van objecten zoals wisselverwarming en tunnel technische installaties. Je werkt nauw samen met een multidisciplinair team bestaande uit softwareontwikkelaars, technische ontwerpers en projectmanager. Hoe jij ons team versterkt We zoeken een veelzijdige en proactieve professional met sterke analytische vaardigheden en een toewijding aan teamwork en resultaten. De ideale kandidaat heeft: Een afgeronde HBO/ WO opleiding met sterke IT component en/of data-engineering Kennis van Microsoft Azure Ervaring met programmeren, bij voorkeur in C/.Net Goede communicatievaardigheden, zowel in het Nederlands als in het Engels Bereidheid om te reizen naar klantenlocaties, CGI kantoren of thuiswerken indien nodig. Een pre-employment screening maakt onderdeel uit van de sollicitatieprocedure Waarom CGI CGI is één van 's werelds grootste IT-consultancy bedrijven. Onze mensen houden Nederland draaiende. Overheidsinstellingen, banken, lucht- en ruimtevaart, infrastructurele organisaties en energie- en productiebedrijven zijn klanten van CGI. We werken aan interessante projecten die het alledaagse leven van miljoenen mensen raken. We zijn regionaal aanwezig, versterkt met wereldwijde domeinkennis, ons ecosysteem en collega's verspreid over de hele wereld. We zijn trots op de impactvolle projecten die we samen met onze collega’s tot een succes maken. Bij CGI hechten we veel waarde aan diversiteit en inclusie, omdat dit niet alleen de samenwerking bevordert, maar ook vaak leidt tot betere resultaten. We kijken uit naar jouw bijdrage aan ons team! Werken in kleine zelfsturende teams bestaande uit experts in je vakgebied. De regie over je eigen carrière met daarbij de ruimte om jezelf te blijven ontwikkelen. Je werkt met de nieuwste technologieën. Een uitstekend salaris en aantrekkelijke secundaire arbeidsvoorwaarden Direct een vast contract Parttime mogelijkheden En de mogelijkheid om CGI aandeelhouder te worden Waar kom je terecht Je komt te werken in een hele gezellig Unit Rail Infra binnen Vital Civil Infrastructures. Daarin speel je een cruciale rol in de uitdaging om verouderde IT-systemen in de spoorwegsector te vernieuwen. CGI, gevestigd in Rotterdam werkt aan de transformatie van railsystemen die essentieel zijn voor de besturing van het Nederlandse spoorwegnet. Deze systemen zijn verantwoordelijk voor de aansturing van seinen, wissels, en treinposities, en omvatten simulatiesystemen met 3D visualisaties voor het vooraf testen van praktijkveranderingen bij machinisten en treindienstleiders. Sluit je aan bij ons team van experts en solliciteer direct! Meer informatie over de inhoud van de vacature? Neem contact op met Director Consulting Services Jeroen Silfhout via [email protected]. Vragen over de sollicitatieprocedure? Neem contact op met Recruitment business partner Natrah Pula via 06 11218723 of via [email protected]. Wij werken niet samen met externe recruitment-partijen. Acquisitie naar aanleiding van onze vacatures wordt daarom niet op prijs gesteld! Taken en verantwoordelijkheden Criteria Together, as owners, let’s turn meaningful insights into action. In 1976 opgericht als een familiebedrijf, is CGI vandaag de dag een van de grootste onafhankelijke zakelijke en ICT-dienstverleners ter wereld. Bij ons draait het om ownership, teamwork en respect. Je krijgt de ruimte om al je talenten volledig te ontplooien. Vanaf je eerste werkdag ben je mede-eigenaar van CGI. We profiteren samen van ons succes en je krijgt de kans én verantwoordelijkheid om actief bij te dragen aan de koers en strategie van ons bedrijf.