Senior Data Platform Engineer AWS, Spark

As Senior Data Platform Engineer, you will lead hands-on development of a fraud data capability within Experian's Data Analytics Platform. You will design and implement secure, scalable AWS-based data pipelines, collaborating with platform, security and data stakeholders. You’ll drive DevSecOps practices, IaC, and automation to accelerate delivery. This role combines data engineering depth with cloud platform leadership in a hybrid Nottingham environment. You’ll help shape the technical roadmap and mentor engineers, delivering robust data flows for fraud-related assets.

• great compensation package
• discretionary bonus plan
• pension
• bupa healthcare
• sharesave scheme
• 25 days annual leave + 8 bank holidays + 3 volunteering days

• Design, build, test and maintain AWS-based data pipelines for fraud-related data assets
• Ingest and transform data from source platforms such as Snowflake and internal systems
• Develop new data flows, integrations and automation as more data assets are onboarded
• Collaborate with platform, security and data stakeholders to ensure governance and security patterns
• Contribute to technical design, review proposals, evaluate options, provide estimates and recommendations
• Apply Infrastructure as Code and Configuration as Code tooling (Terraform, Git, CI/CD) to deliver repeatable solutions
• Produce clear documentation for pipelines, data flows, operations and support
• Mentor junior engineers and foster a collaborative, quality-focused engineering culture
• Adopt automation and AI-assisted development to improve delivery speed, quality and repeatability

• Experience building data pipelines, data lake or data platform capabilities
• Strong AWS data engineering and platform delivery experience (Glue, S3, Step Functions, IAM, Lake Formation, EC2, Lambda, EventBridge, SQS)
• Experience with DevOps and IaC tooling (Terraform, CI/CD pipelines, Git, Jenkins)
• Development experience on Apache Spark or Hadoop
• Programming experience in Scala or Python
• Solid understanding of cloud security, data privacy, access control and governance in data platforms

• collaborative
• mentoring and coaching
• ability to work with cross-functional teams
• AWS Glue
• S3
• Step Functions