Visa sponsorship jobs in Birmingham

Market Risk Analytics & Reporting (A&R) is a group within Core Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s market risk profile allowing them to take actionable and timely risk management decisions.   Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.   Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools​. This role will focus on Market Risk.   A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights​. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics​ for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics​.   Qualifications, Skills & Aptitude  Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. 1-3 years of experience, preferably in financial, regulatory or consulting environment Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.   About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.  We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.   We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html We Offer Best-In-Class Benefits Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

This is an exciting opportunity to work with some of the UK's largest organisations, shaping cloud strategies, influencing solution design, and delivering modern Azure platforms that enable business transformation. You'll combine deep technical expertise with customer-facing consultancy, acting as a trusted advisor throughout the full project lifecycle. You’ll be joining Computacenter’s Global Professional Services organisation, a community of over 5,000 consultants, architects, engineers, and project professionals delivering complex technology solutions across the world. As part of our Azure Practice, you’ll work alongside industry-leading cloud specialists, architects, delivery teams, and strategic technology partners. You'll help shape cloud strategy, contribute to innovative service offerings, and work with leading technologies across Azure, DevOps, Automation, and Kubernetes.   What you'll do Lead customer engagements, providing expert Azure consultancy throughout the solution lifecycle Shape and influence Azure solutions during pre-sales activities, workshops, and technical discussions Design and implement scalable, secure, and resilient Azure platforms aligned to industry best practices Provide technical governance, assurance, and quality control across pre-sales and project delivery engagements Define standards, blueprints, and reusable patterns for Azure-based solutions Collaborate within agile delivery teams to design, implement, and optimise cloud solutions Present technical solutions to customers and stakeholders at both technical and executive levels Identify technical and business risks and provide recommendations to ensure successful outcomes Mentor consultants and engineers while contributing to the growth of the Azure Practice   What you'll need Extensive experience designing and delivering Microsoft Azure solutions Azure certifications such as Azure Solutions Architect Expert, Azure Administrator Associate, and/or Azure DevOps Engineer Expert Strong experience supporting pre-sales engagements and shaping customer requirements Expertise across Azure infrastructure, networking, security, governance, automation, and cloud migration Strong understanding of: Azure Cloud Adoption Framework Enterprise Scale Landing Zones (ALZ) Well-Architected Framework FinOps and Cost Optimisation Operational Resilience Experience with Infrastructure as Code and automation tools including Terraform, Bicep, Ansible, PowerShell, and Python Knowledge of Azure DevOps, GitHub, CI/CD pipelines, and platform automation Experience with Azure Kubernetes Service (AKS) and container-based platforms Strong communication skills with the ability to engage technical teams, business stakeholders, and customer leadership Experience delivering cloud solutions within agile environments Experience with technologies such as Azure Virtual Desktop, Azure Local, Azure Sovereign Cloud, ServiceNow, Dynatrace, Datadog, Splunk, Zscaler, Palo Alto, or cloud cost optimisation tools would be advantageous.   If you're looking for a role where you can combine deep Azure expertise, customer engagement, and technical leadership while helping organisations accelerate their cloud transformation journeys, we'd love to hear from you.   About us Computacenter is a leading independent provider of IT infrastructure services, with about 21,000 employees worldwide. We work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology and managing our customers’ infrastructures.   We offer a friendly, open working environment without too much fuss about hierarchy. We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance.   Interested in joining a company with a strong sense of community?   We’re growing. We’re hiring. We encourage. We empower. We support. winningtogether peoplematter

As a DataOps Engineer at Capgemini, you will help teams build, run, and continuously improve modern data platforms so they are reliable, secure, and easy to change. You will work across engineering and operations to automate delivery, improve data pipeline observability, and embed good governance so analytics and AI workloads can run at scale. You will be part of the Data Platforms team that sits within the Insights and Data Global Practice. Data Platforms is home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability, and enable safe, repeatable releases.

Are you a passionate SC Cleared Platform Engineer eager to make a difference? We invite you to be part of our agile team, helping public sector clients build and continuously improve digital services using the best open-source software. We are looking for experienced Platform Engineers, who are ready to roll up their sleeves and dive into challenges. Quick learners who thrive on innovation and problem-solving and individuals who value collaboration and are excited to share ideas. You’ll be part of a strong, established community of digital specialists. Together, you will share your ideas, innovate and grow. Our team of engineers supports each other to deliver and develop professionally and you'll get to work alongside amazing people in one of the best cultures you can find. Successful candidates must hold be eligible to undergo SC Clearence.  Hybrid working:  The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your role •    You'll undertake cross-functional engineering projects, working in small teams with other Engineers in different knowledge spheres, building supportable, sustainable and reliable services. •    You’ll work with great technology – the UK Government has an IT strategy based on user centric design, modern open source technology, continuous integration/delivery and modern software architectures such as microservices and cloud technology to name but a few. •    You’ll help us achieve our vision – the chance to make a real difference at the heart of the digital transformation within the UK Public Sector •    You’ll get opportunities to develop and progress – working on large scale, technically challenging projects. You will be constantly learning through modern learning environments. You can bring your whole self to work. At Capgemini, striving for equity, diversity and inclusion is part of everyday life and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone. We're a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and  Meet the minimum essential criteria for the role. Please opt in during the application process. Your Security Clearance Baseline Personnel Security Standard (BPSS) To be successfully appointed to this role you will need to undergo Baseline Personnel Security Standard checks. There are certain criteria and checks required for BPSS, and throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. In addition to BPSS, you will also need SC (Security Check) Clearance or to be eligible for this level of clearance (by being a UK resident for at least 5 years and not having left the country for more than 28 consecutive days during this period) Your Skills and Experience Are you a Platform/DevOps Engineer with an appetite to extend your knowledge and apply new skills rapidly on challenging projects?  Do you have a broad range of experience in modern open source stacks? Don’t worry if you haven’t got strong experience in every skill listed below. If you can demonstrate a good selection of these skills and a passion for developing exciting new technical skills, then we’d really like to talk to you. Essential skills: •    Experience debugging complex, multi-server service in a high availability production environment. •    Good communication skills both written and verbal, with the ability to convey complex technical concepts clearly and concisely to both internal and external stakeholders. •    Sound knowledge of Linux, Docker and Kubernetes. •    Experience of building infrastructure in AWS using Terraform. •    Experience in automation tooling such as Ansible. •    Provide technical leadership in either a project sense and/or to more junior members of your team. •    Strong understanding of CI environments and how they facilitate the automation process with other orchestration tools.   Desirable skills: •    Core Networking & Loadbalancing. •    Jenkins / Concourse / Gitlab CI. •    Git / GitHub / GitLab. •    Graphite / Grafana / ELK / Prometheus. •    SQL / NO-SQL DB’s. •    HashiCorp (Packer / Terraform / Vault / Consul). What to expect (interview process) • Recruiter conversation (role fit, clearance eligibility, assignment preferences) • Technical interview (platform depth + production scenarios) • Final conversation (ways of working, team fit) Make it real – what does it mean for you? You’d be joining an accredited Great Place to work for Wellbeing in 2023. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way.

As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisation. You will be part of the Data Platforms team  that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors.  Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS and GCP along with various data platforms like Databricks and Snowflake