Data Engineer (Hedge Fund)
New Today
Overview
This is a fantastic opportunity to join a successful hedge fund as a Data Engineer, where you’ll build the data backbone powering advanced investment strategies. You’ll manage diverse financial datasets—spanning market, fundamental, and alternative sources—from acquisition to delivery, ensuring precision and reliability. Working closely with quant researchers and engineers, you’ll solve complex data challenges, delivering high-quality data to fuel sophisticated trading models in a fast-paced, innovative environment.
Responsibilities
- Collaborate with vendors to source and integrate complex datasets, ensuring they meet our exacting standards for trading and research.
- Design and maintain scalable data pipelines to transform raw data into analysis-ready formats, leveraging top-tier engineering practices for seamless integration with trading systems.
- Develop robust validation tools to ensure data accuracy, timeliness, and integrity, supporting the performance of our quantitative strategies.
- Provide hands-on support for data pipelines, quickly resolving issues to maintain uninterrupted data flow for trading operations.
- Contribute to on-call rotations, ensuring system reliability in London’s dynamic financial landscape.
Requirements
- 5+ years of experience building ETL/ELT pipelines with Python and pandas in a financial services setting.
- Strong expertise in relational databases and SQL.
- Proficiency with technologies like S3, Kafka, Airflow, or Iceberg.
- Experience managing large, complex financial datasets from multiple vendors.
- A passion for engineering excellence and delivering impactful, practical solutions.
- Enthusiasm for a data-centric role in London’s vibrant financial sector.
- Excellent collaboration and communication skills to thrive in a team environment.
Additional Skills
- Deep understanding of financial markets and instruments.
- Experience with hierarchical reference data models.
- Familiarity with distributed computing frameworks like Apache Spark.
- Background in supporting real-time operational systems.
Seniorities
- Mid-Senior level
Employment Type
- Full-time
Job Function
- Finance
Industries
- Investment Management
Location
London, England, United Kingdom
Salary
£250,000.00-£550,000.00
- Location:
- London, England, United Kingdom
- Salary:
- £125,000 - £150,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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