C
Capgemini
Data Science
Databricks Engineer
DatabricksSqlPythonData WarehousingLakehouse ArchitectureData ModelingEtlEltMaster Data Management (Mdm)ApisData IntegrationGitCi/CdDevops
About the Position
Capgemini Engineering seeks a Databricks Engineer to design, build, and evolve data platforms, including Master Data Management capability, for engineering asset standardisation across programmes.
Responsibilities
- Design and develop data pipelines and data products within Databricks to support Augmented Delivery use cases
- Build and maintain scalable data architectures, including data lakes, lakehouses, and data warehousing solutions
- Develop and optimise SQL and Python-based data transformations
- Support the development and implementation of Master Data Management (MDM) solutions for engineering asset standardisation and codification
- Ensure data quality, consistency, and governance across platforms
- Integrate data from multiple sources, enabling interoperability across engineering and digital systems
- Collaborate with developers and digital engineering teams to enable data-driven use cases and automation
- Work within modern development environments using DevOps practices, including CI/CD, version control, and testing
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Engineering, or related discipline (or equivalent experience)
- Experience working as a Data Engineer or similar role
- Strong experience with Databricks (or similar modern data platforms), SQL, and Python
- Experience with data warehousing and lakehouse architectures
- Data modelling and ETL/ELT experience
- Understanding of Master Data Management (MDM) principles
- Familiarity with APIs and data integration patterns, Git-based version control
- Understanding of CI/CD, DevOps, and modern development practices
Benefits
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform
- Free access to Education First languages platform, TED Talks and Udemy Business materials and trainings
- Community Hub with over 20 professional communities (e.g., Salesforce, Java, Cloud, IoT, Agile, AI)
- Private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) on preferential terms
- Life insurance and 40+ options on NAIS benefit platform (including Netflix, Spotify, Sports card)
- Well-being culture: medical care with Medicover, private life insurance, sports card
- Capgemini Helpline offering therapeutic support and educational podcast 'Let's talk about wellbeing'
Databricks Engineer
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