Visa sponsorship jobs in Rotterdam

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.

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]

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.