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Data Engineer

Data Engineer
Location: London (4 days/week in office)

We are working with a world leading E-commerce company who have a platform used by millions worldwide — and data is at the heart of it. Their systems already process thousands of messages per second, powering real-time learning, analytics, and reporting at global scale.

We’re looking for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions.
What you’ll do
  • Build & maintain streaming and batch pipelines
  • Develop our Lakehouse (AWS S3 + Iceberg)
  • Ensure data is trustworthy, accessible, and reusable
  • Implement schemas, contracts, and observability
  • Support compliance with global data regulations
What you’ll bring
  • Good working experience in data engineering
  • Hands-on with Kafka/Pulsar/Kinesis
  • Strong SQL & relational DBs (Postgres/MySQL)
  • Coding experience in Java/Scala
  • Cloud (AWS preferred) + Infrastructure-as-Code familiarity
  • Solid understanding of ETL/ELT and data modeling
Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance.

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