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# Senior AWS Data Engineer

- **Company:** Capgemini
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Masking, Data Systems, Data Vault Modeling, Software Design Patterns, DevOps, Distributed Computing Environment, Fraud Prevention and Detection, Identity and Access Management, Python (Programming Language), Standard Sql, Snowflake, Apache Spark, Git, Cloudformation, Build Management, Containerization, Data Lakes, Pyspark, Kubernetes, Deployment Automation, AWS Glue, AWS Data Analytics, Apache Kafka, Data Management, Terraform, Data Pipelines, Docker
- **Published:** May 23, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=c334e40fccb07ae9

## About the Role

Do you have experience in Terraform?, * 6-10+ years of experience in data engineering with strong Python and SQL expertise

 * Hands-on experience with Spark/PySpark and distributed data processing frameworks
 * Strong AWS experience with S3, Glue, Lambda, Redshift, Kinesis, and related services
 * Knowledge of data modelling (dimensional, data vault) and ETL/ELT design patterns
 * Familiarity with DevOps tools (Git, CI/CD, Terraform) and containerization (Docker, Kubernetes)
 * Experience in financial services with knowledge of trade data, risk, and regulatory systems
 * Understanding of data governance, security, and compliance (IAM, encryption, data masking)
 * Strong problem-solving, communication, and stakeholder management skills in agile environments

We are a Disability Confident Employer:

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.

## Description

We are looking for a Senior AWS Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale secure, high-performance data platforms on AWS. In this role, you will develop robust batch and real-time data pipelines, modern data lakes/lakehouses, and analytics solutions supporting critical use cases such as risk analytics, regulatory reporting, fraud detection, and customer insights. You will leverage AWS data services, distributed processing frameworks, and financial domain expertise to deliver scalable, compliant, and enterprise-grade data solutions., * Design and build end-to-end batch and real-time data pipelines using AWS services and Spark

 * Develop scalable ETL/ELT solutions using AWS Glue, PySpark, and distributed frameworks
 * Build and manage data lake/lakehouse architectures on S3, Lake Formation, and Redshift/Snowflake
 * Implement streaming solutions using Kinesis, MSK (Kafka), or EventBridge for real-time analytics
 * Automate deployments with Terraform/CloudFormation and implement CI/CD pipelines
Ensure platform scalability, reliability, and security using Docker, Kubernetes, and cloud-native tools

 * Apply data governance, security controls, and regulatory compliance (GDPR, FCA, IAM, encryption)
 * Collaborate with business teams and mentor engineers to deliver high-quality data solutions


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