Fullstack Dataops Engineer

The Role You Are Considering

You'll be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong, sustained growth across a wide range of projects and sectors. Data Platforms is home to the Data Engineers, Platform Engineers, Solution Architects and Business Analysts driving our customers' digital and data transformation on modern cloud platforms.

We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, and we're looking for talented people who want to grow their career in a high-performing team that cares about increasing the value of data and analytics for our clients.

PLEASE NOTE:

Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC) clearance  . 

To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
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.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Your Role

We're looking for a versatile Full Stack Engineer who's equally comfortable building data pipelines and the applications that sit on top of them. You'll deliver robust, cloud-native solutions that turn data into things people actually use: dashboards, data products, secure APIs and, increasingly, GenAI-powered applications such as conversational and retrieval-based interfaces. You'll work across the full stack and the full data lifecycle, from ingestion and processing through to the web and API layer, with quality, security and reliability built in from the start.

What you’ll be doing

Data engineering

• Design and build scalable data pipelines (for example Apache Spark, Airflow, dbt) and maintain data lakes, warehouses and real-time streaming solutions.
• Ensure data quality, governance and compliance across platforms.

Full-stack application development

• Design, code, test and deploy scalable, efficient web applications, building responsive, interactive user interfaces with a modern front-end framework and robust server-side logic, databases and APIs.
• Develop APIs and microservices that expose data securely and efficiently.
• GenAI-powered applications
• Build the application layer for AI: conversational and RAG interfaces, agent-facing front-ends and APIs, and streaming LLM responses, integrating 

GenAI and orchestration services (including patterns such as tool-calling and the Model Context Protocol) into production web applications with appropriate guardrails.

• DataOps, deployment and reliability
• Implement and manage CI/CD pipelines (for example GitHub Actions, ArgoCD) and deploy cloud-native microservices on Kubernetes, hosted on Red Hat OpenShift.
• Build in observability and monitoring for both data pipelines and AI-driven features, optimising for performance, scalability and reliability, including for the non-deterministic
• behaviour of AI components.

Your Skills and Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Full Stack Developer amd Data Engineer.
• Proficiency in front-end technologies: HTML, CSS, JavaScript, React (must), Angular, Vue.js.
• Strong back-end development skills: Java and Node.js (must); Python or Ruby on Rails is a plus.
• Experience with cloud-native architectures and containerization (Docker, Kubernetes).
• Familiarity with Red Hat OpenShift.Experience with CI/CD tools and version control systems (Git, GitHub, ArgoCD).
• Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with relational databases, especially PostgreSQL.
• Knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform.
• Familiarity with Agile methodologies and DevOps culture.
• Exposure to data visualization tools (Power BI, Fabric) or custom dashboards.

About Capgemini

At Capgemini we don’t just believe in Diversity & Inclusion , we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.

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. We have also invested in we llbeing apps such as Thrive and Peppy .

We work with a range of clients all with a unique set of business, technological and societal ambitions. Working for Capgemini you get to be at the forefront of designing future experiences, which truly impact our clients and wider society for the better.

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.

If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

Why We're Different:

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
 
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.