Senior Databricks Technical Engineer

About the job you’re considering

To support the continued growth of our data‑led operations and insight capabilities, Capgemini is expanding its data engineering community. We are seeking a Data Engineer with a strong focus on the implementation, configuration, and use of Databricks to deliver scalable, secure data platforms and actionable insights.

You will design and build data analytics solutions that enable both internal teams and clients to visualise, understand, and act on their data. The role is focused on turning raw operational and business data into meaningful insights, supporting improved decision making, service performance, and operational efficiency.

The places 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, although you will be unable to work from home 100% of the time.

This role includes the following responsibilities:

• Developing and maintaining data pipelines to ingest, transform, and curate data from multiple sources.
• Using Databricks, SQL, and analytical tools to create high‑quality datasets suitable for insight and visualisation.
• Producing internal and client‑facing dashboards and visualisations that provide operational insight and business value.
• Working with stakeholders to understand reporting and analytics requirements and translating them into effective data solutions.
• Supporting the use of data to improve operational performance, service quality, and decision making.
• Ensuring data solutions align to security, governance, and data quality standards.
• Collaborating with architects, platform teams, and operations teams to ensure solutions are scalable and supportable.
• Supporting the evolution of data platforms, including optimisation, cost control, and performance improvement.
• Contributing to documentation, standards, and best practices for data engineering and analytics.

You can bring your whole self to work. Capgemini values inclusion and strives to create a welcoming environment for everyone.

• Proven data engineering experience in enterprise/client environments, with strong Databricks expertise.
• Solid understanding of data lakehouse architectures and analytical platforms.
• Advanced SQL skills for transforming and analysing large datasets.
• Experience designing data models and datasets for reporting tools (e.g., Power BI).
• Skilled in working with diverse data sources and applying data governance, security, and quality principles.
• Strong collaboration, communication, and agile delivery experience; ability to explain data to non‑technical stakeholders.

Capgemini is a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. We 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.

To be successfully appointed to this role, a Security Check (SC) clearance is required. The successful applicant must have resided continuously within the United Kingdom for the last five years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as country of residence, nationality, and, where relevant, citizenship.

Employees receive support for wellbeing, including access to mental‑health champions and wellbeing apps. Capgemini offers extensive training and development opportunities with access to a wide range of courses and external certifications.