AWS Data Engineer - PySpark/AI

In this role you will own and shape data platform components to deliver fast, scalable customer insights. You’ll join a small, collaborative team and work on turning raw data into trusted analytics products. You’ll influence architecture decisions, improve data quality and automate data workflows to support analytics and customer-facing products. This is a growth-focused opportunity to impact how data is structured and used across the business.

• referral scheme
• gift or voucher scheme
• hybrid work arrangement
• three office days per week
• career growth in data and AI
• partnering with leading data and analytics domain events

• Build and improve ETL and ELT pipelines for analytics and customer-facing products
• Expand and optimise the AWS data lake and architecture
• Collaborate with product and engineering teams to shape data structure and usage
• Improve data quality, accessibility and reliability across the platform
• Automate manual processes and strengthen CI/CD across data workflows
• Explore new technologies and influence future engineering decisions
• Use Claude Code to support development, debugging, testing and documentation

• Strong SQL skills for transforming, cleaning and loading data
• Commercial Python, PySpark and Pandas experience
• Experience with orchestration tools such as Airflow, Dagster or Celery
• Practical experience with Spark and EMR
• Hands-on knowledge of AWS services, including Lambda, RDS and S3
• Experience using Claude Code as part of your day-to-day engineering workflow
• An understanding of CI/CD and DataOps practices
• Strong communication skills and the ability to collaborate with colleagues internationally

• strong communication
• collaboration
• ownership
• SQL
• Python
• PySpark