Data Engineer

Winton leverages quantitative analysis and cutting-edge technology to identifyand capitalize on opportunities across global financial markets. We fostera collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds whoare passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automatedtrading systems.

As a Data Engineer within our Quantitative Platform team, you will playa pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You willbe responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficientstorage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimatelyproviding the high-fidelity, readily available data essential for developing and executing sophisticated investmentmodels in a fast-paced environment.

Your responsibilities will include:

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as akey technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
• Designing, implementing, and optimizing robust, production-gradedata pipelines to transform raw vendor data into analysis-ready datasets, adhering to softwareengineering best practices and ensuring seamless consumption by our automated trading systems.
• Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for theefficacy of our quantitative strategies.
• Providingexpert operational support for our data pipelines, rapidly diagnosing and resolving criticalissues to ensure the uninterrupted flow of high-availability data powering our daily trading activities.
• Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our datasystems outside of standard business hours.

What we are looking for:

• 5+ years’ experience building ETL/ELT pipelines using Python and pandas within a financial environment.
• Strong knowledge of relational databases and SQL.
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg
• Proficiency working with large financial datasets from various vendors.
• 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.

What would be advantageous:

• Strong understanding of financial markets.
• Experienceworking with hierarchical referencedata models.
• Provenexpertise in handling high-throughput, real-time marketdata streams
• Familiarity with distributed computing frameworks suchas Apache Spark
• Operational experience supporting real time systems.

Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminatebased upon race, religion, color, national origin, sex, sexualorientation, gender identity/expression, age, status as a protectedveteran, status as an individual with a disability, or any otherapplicable legally protected characteristics.

Our assessment and selection processes are aimed at you showcasing your abilities rather than passing arbitrary tests.They are designed according to the requirements of our teams to identify the skills and attributes we seek.A member of our recruitment team will work with you throughout the process, guiding you at each stage.

Application

Your application will be viewed by a member of our Human Capital team.

Video and onsite Interviews

We will invite you to our offices for interviews with individuals from inside and outside the team you will join.

Phone Interview

Your background and suitability for the role will be assessed by a member of our Human Capital team.

Offer

A member of our recruitment team will talk you through the offer details including compensation,benefits, role responsibilities and future career paths.

Assessment

You may be asked to complete a technical assessment and/or case study.

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