Hybrid Cloud Data Engineer: Spark, AWS & Microservices

Capgemini; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Capgemini is seeking a highly skilled Data Engineer to design and build scalable cloud-native data platforms using Spark, AWS, Scala, Tableau and Java microservices. You will craft high-performance data pipelines and enable data-driven insights across the business.

The role blends office, client-site and home working, with occasional travel and in-house collaboration. You will partner with analytics, product and security teams to deliver robust, secure, and scalable solutions while adopting

Qualifications

• Experience designing and building scalable cloud-native data platforms.
• Strong skills in Spark, Scala, AWS and data pipelines.
• Experience with BI tools (Tableau) and SQL performance tuning.

Responsibilities

• Design, develop and maintain scalable data pipelines and processing solutions using Spark and Scala.
• Implement JAVA microservices architecture for data and business applications.
• Develop and optimize data ingestion and processing on AWS cloud.

Skills

Scala

Spark

AWS

REST APIs

DevOps

SQL

Tableau

Tools

Docker

Kubernetes

Jenkins

Git

Terraform

Job description

Capgemini is seeking a highly skilled Data Engineer to design and build scalable cloud-native data platforms using Spark, AWS, Scala, Tableau and Java microservices. You will craft high-performance data pipelines and enable data-driven insights across the business.

The role blends office, client-site and home working, with occasional travel and in-house collaboration. You will partner with analytics, product and security teams to deliver robust, secure, and scalable solutions while adopting