At a Glance
- Tasks: Build scalable data pipelines and integrate complex financial datasets for a leading hedge fund.
- Company: Join a world-class quantitative investment business in London.
- Benefits: Competitive salary, collaborative culture, and exposure to cutting-edge technologies.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Make a real impact on automated trading strategies and data infrastructure.
- Qualifications: 4+ years of experience in ETL/ELT pipelines using Python and modern data engineering tools.
The predicted salary is between 70000 - 90000 £ per year.
Attribution Search is partnered with a Quantitative Hedge Fund looking to hire a Data Engineer into its Quantitative Platform team. This is an opportunity to work at the heart of a world‑class quantitative investment business, building the data infrastructure that powers research, alpha generation, and automated trading strategies. You'll be responsible for developing scalable data pipelines, integrating complex financial datasets, and ensuring researchers and trading systems have access to high‑quality, reliable data.
Responsibilities:
- Design, build and maintain production‑grade ETL/ELT pipelines using Python.
- Evaluate, onboard and integrate market, fundamental and alternative datasets from external vendors.
- Build data pipelines that transform raw vendor data into analysis‑ready datasets.
- Develop automated validation and data quality frameworks to ensure accuracy, consistency and reliability across the firm's data platform.
- Support high‑availability data infrastructure, troubleshooting production issues and ensuring uninterrupted data delivery to research and trading teams.
- Work closely with quantitative researchers, developers and technologists to improve data accessibility, performance and scalability.
- Participate in on‑call support and continuously enhance operational resilience across the platform.
Must Have:
- 4+ years' commercial experience building ETL/ELT pipelines using Python.
- Strong experience with modern data engineering technologies such as Kafka, Airflow, S3 and Iceberg.
- Strong understanding of software engineering best practices and operational excellence.
- Excellent communication skills with the ability to work closely with technical stakeholders in a collaborative environment.
This is an excellent opportunity for a technically strong data engineer to join a highly collaborative and engineering-focused trading environment with broad exposure across modern data infrastructure and quantitative workflows. Candidates with relevant experience are encouraged to apply to learn more.
Data Engineer - Quantitative Hedge Fund - London employer: Attribution Search
Attribution Search offers an exceptional work environment for Data Engineers, particularly within the vibrant financial hub of London. With a strong emphasis on collaboration and innovation, employees benefit from a culture that fosters professional growth through exposure to cutting-edge technologies and quantitative workflows. The firm prioritises operational excellence and provides opportunities for continuous learning, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
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We think you need these skills to ace Data Engineer - Quantitative Hedge Fund - London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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