About the Job you are considering:
Capgemini is seeking a highly skilledData Engineer with strong Databricks expertise to design, build, and optimize scalable data solutions. This role focuses on modern data engineering practices, including developing high-performance data pipelines and contributing to technical design and architecture discussions. The position plays a key role in enabling analytics, reporting, and business-critical data use cases across the organization.
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
1. Design, develop, and maintain scalable data pipelines and processing frameworks using Databricks, Python, and PySpark
2. Build and optimize data workflows to support analytics, reporting, and operational needs
3. Collaborate with cross-functional teams to deliver efficient, reliable, and scalable data solutions
4. Actively contribute to technical discussions, architecture decisions, and design reviews
5. Ensure high standards of data quality, performance, and reliability across platforms
6. Support integration with data storage systems such as cloud data lakes and (optionally) Snowflake
Your Skills
7. Strong hands-on experience with Databricks (must-have)
8. Proficiency in Python and PySpark for large-scale data processing
9. Solid understanding of data engineering fundamentals (ETL/ELT, batch processing, transformations)
10. Proven experience building scalable and efficient data pipelines
11. Exposure to Snowflake or modern cloud data warehouses
12. Understanding of data architecture and system design principles
13. Awareness of agentic AI and machine learning concepts, and how they integrate with data platforms
We are a Disability Confident Employer:
Capgemini is proud to be a 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:
14. Declare they have a disability, and
15. Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
16. You’d be joining an accredited Great Place to work for Wellbeing in 2024. 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.
17. 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 thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
18. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
About Capgemini