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Capgemini
Scraped fromWorkYesterday
Data Science

Databricks Engineer

DatabricksSqlPythonData WarehousingLakehouse ArchitectureData ModelingEtlEltMaster Data Management (Mdm)ApisData IntegrationGitCi/CdDevops
Work Type
-
Job Type
-
Location
Worldwide
Salary
Not specified

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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