Data Engineer ( Hadoop​/Spark​/Scala​/Python

We are seeking a highly experienced Data Engineer ( Hadoop / Spark / Scala / Python) to join our Financial Services Data Practice. You will have deep hands‑on expertise in Hadoop, Spark, Scala, Python.

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.

• Design and develop Hadoop based applications and data pipelines
• Build operate monitor and troubleshoot Hadoop clusters
• Write scalable ETL processes using tools like Hive Pig and Spark
• Develop and maintain data ingestion processes using Sqoop Flume or Kafka
• Optimize Map Reduce jobs and manage HDFS storage
• Collaborate with data scientists and analysts to support data needs
• Ensure data security and compliance with organizational policies
• Create and maintain technical documentation and playbooks
• Evaluate and integrate cloud based big data solutions AWS GCP Azure

• Data/software engineering experience with deep expertise in Spark, Scala, and Python.
• Strong background in designing large‑scale ETL/ELT workflows and distributed compute optimization.

Capgemini is proud to be a Disability Confident Employer (Level
2) 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:

• Declare they have a disability, and
• Meet the minimum essential criteria for the role.