Data Engineer — Real-Time Market Data Pipelines

Winton Capital US LLC; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Winton is seeking a Data Engineer to build and maintain data infrastructure that powers research and trading strategies. You will manage end‑to‑end lifecycles of diverse datasets, ensuring timely acquisition, rigorous cleaning, and reliable delivery through robust pipelines.

You will work closely with quantitative researchers and technologists to tackle data quality, normalization, and accessibility challenges, enabling high‑fidelity data for investment models in a fast‑paced environment.

Qualifications

• 1+ years’ experience building ETL/ELT pipelines using Python.
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg.
• A commitment to engineering excellence and pragmatic technology solutions.
• A desire to work in an operational role at the heart of a dynamic data‑centric enterprise.
• Excellent communication and collaboration skills, and the ability to work in a team.

Responsibilities

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent 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 sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets.
• Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues.
• Participating actively in team rotations, including on‑call schedules, to provide essential coverage outside standard business hours.

Skills

Python

ETL/ELT pipelines

S3

Kafka

Airflow

Iceberg

Data quality

Job description

Winton is seeking a Data Engineer to build and maintain data infrastructure that powers research and trading strategies. You will manage end‑to‑end lifecycles of diverse datasets, ensuring timely acquisition, rigorous cleaning, and reliable delivery through robust pipelines.

You will work closely with quantitative researchers and technologists to tackle data quality, normalization, and accessibility challenges, enabling high‑fidelity data for investment models in a fast‑paced environment.