Data Engineer - Quantitative Platform & Live Trading Data

Winton

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+
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Job summary

Winton, a research-driven investment management firm, is seeking a Data Engineer for the Quantitative Platform to build and maintain data infrastructure supporting research and live trading. You will own end-to-end datasets, ensure data quality, and enable fast, reliable analysis for sophisticated models in a dynamic market environment.

Collaborating with quantitative researchers and technologists, you will onboard data products, design robust pipelines, and maintain automated validation.

Qualifications

  • Experience using Python in a production environment.
  • Strong communication and collaboration skills.
  • Desire to work in an operational data-centric enterprise.
  • Ability to work in a fast-paced, data-driven trading setting.

Responsibilities

  • Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet requirements for research and live trading.
  • Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices.
  • Engineering and maintaining automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets.
  • Providing expert operational support for data pipelines, diagnosing and resolving issues to ensure uninterrupted high-availability data feeds.
  • Participating in team rotations, including on-call schedules, to maintain resilience of data systems outside standard hours.

Skills

Python
Teamwork
Communication
Data-centric

Tools

S3
Kafka
Airflow
Iceberg

Job description

Winton, a research-driven investment management firm, is seeking a Data Engineer for the Quantitative Platform to build and maintain data infrastructure supporting research and live trading. You will own end-to-end datasets, ensure data quality, and enable fast, reliable analysis for sophisticated models in a dynamic market environment.

Collaborating with quantitative researchers and technologists, you will onboard data products, design robust pipelines, and maintain automated validation.

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