Data Engineer

Location: London (Hybrid)
Type: Full-time
Compensation: Competitive package with performance-based bonus

The Role

Our client, is seeking a Data Engineer to join their team. Drive scalable cloud systems, turn complex data into actionable insights, and power high-impact trading and AI decisions.

Ideal Candidate:

• 5+ years of experience in data engineering with MPP databases or Apache Spark
• Strong skills in Python and SQL, with solid data modeling experience
• Extensive knowledge of AWS/cloud services (ECS, EKS, Lambda, Kinesis, DynamoDB, EMR, Athena)
• Hands-on experience with orchestration and workflow tools (Docker, Kubernetes, Airflow, Prefect, Dagster)
• Familiar with CI/CD pipelines, infrastructure as code, and DBT
• Able to explain complex data concepts clearly to non-technical stakeholders

Why This Role Matters:

• Deliver lightning fast data pipelines handling billions of rows daily to support trading and AI applications.
• Build and maintain cloud based, scalable systems that transform complex data into actionable insights.
• Collaborate with business and engineering teams to create reliable, high performance data infrastructure that drives decisions.