Data Engineer
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Summary
A Data Engineer in London (hybrid) building scalable, cloud-based data pipelines on AWS that process billions of rows daily to power trading and AI decisions. Core stack: Python, SQL, Spark/MPP databases, AWS services, and orchestration tools like Airflow and Kubernetes.
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.