Data Engineer

2 days ago

London, Greater London, United Kingdom Capgemini Engineering Full time €60,000 - €120,000 per year

Get The Future You Want

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the

way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around

the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading

organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

  • Design and implement scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and Azure Data Lake.
  • Develop and optimize data transformation workflows using Python, R, or Scala on Azure Databricks or Apache Spark.
  • Integrate and manage metadata using Collibra for effective data governance and cataloging.
  • Handle structured, semi-structured, and unstructured data to extract insights and identify linkages across datasets.
  • Lead technical delivery and mentor junior engineers on data engineering best practices.
  • Optimize Spark jobs and debug performance issues using tools like Ganglia UI.
  • Design efficient data structures for storage and querying, including formats like Parquet and Delta Lake.
  • Work across multiple database technologies: RDBMS (MS SQL Server, Oracle), MPP (Teradata, Netezza), and NoSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin).
  • Ensure secure and compliant data handling aligned with Information Security principles.
  • Collaborate in Agile teams and use Git-based workflows for version control and code management.

Your Profile:

  • Minimum 7 years of hands-on experience in Azure Data Engineering.
  • Strong working knowledge of Collibra for data governance and metadata management.
  • Proven experience in the insurance domain is highly desirable.
  • Proficient in Python, R, or Scala for data transformation and analysis.
  • Deep understanding of NoSQL databases and distributed data processing.
  • Experience with traditional ETL tools such as Informatica, IBM Datastage, or Microsoft SSIS.
  • Skilled in working with large and complex codebases using GitHub and Gitflow.
  • Effective communicator with strong stakeholder management capabilities.
  • Familiarity with Agile methodologies including SCRUM, XP, and Kanban.
  • Preferred certifications: Microsoft Certified Azure Data Engineer Associate and Collibra Certified Ranger (or equivalent).

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to

accelerate their dual transition to a digital and sustainable world while creating tangible impact for

enterprises and society. It is a responsible and diverse group of 350,000 team members in more

than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock

the value of technology to address the entire breadth of their business needs. It delivers end-to-end

services and solutions leveraging strengths from strategy and design to engineering, all fueled by

its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and

partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want |

Ref. code

335291-en_GB

Posted on

10 Nov 2025

Experience level

Experienced Professionals

Contract type

Permanent

Location

London

Business unit

FS

Brand

Capgemini

Professional communities

Data & AI

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