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Follow →Burns Sheehan partners with an established tech company in the sports/gaming sector to hire a Quant Data Engineer in London. You’ll join a small team alongside quantitative modellers, ensuring high-quality, well-structured data for research and modelling.
You’ll design and maintain Python data pipelines, improving data usability and quality across analytical workflows, turning complex datasets into assets the business can rely on.
Builds and maintains mission-critical ETL/ELT pipelines for trading/research data in Python, collaborating with traders to align datasets with macro/commodity strategies.
Builds and maintains data pipelines to feed quantitative research and trading systems using Python and data-science tooling.
Builds scalable data pipelines and APIs in Python and SQL on AWS/Azure, maintaining CI/CD and collaborating in Agile teams for a global IT services provider.
Quant Data Engineer - London - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer in London into a varied role at the intersection of technology, data…
Builds and runs automated tests to validate data pipelines and ensure accuracy for enterprise data initiatives, collaborating with data engineering and analytics teams.