Data Engineer, MASS

New Yesterday

Overview DRW is a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices across the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy. We have expanded into three non-traditional strategies: real estate, venture capital and cryptoassets. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role Data Engineer to join the Multi-Asset Systematic Strategies (MASS) trading team. In this role, you will be responsible for onboarding, transforming, and managing diverse financial datasets. You will collaborate closely with traders, researchers, and quantitative developers to analyze equity and futures data, identify alphas, and develop global delta-one trading strategies. Key Responsibilities
Partner with traders, researchers, and analysts to deliver well-structured data that powers trading strategies, predictive models, and AI/ML applications. Build, automate, and maintain resilient pipelines for cleaning, validating, and transforming batch and streaming data that feed into medallion architectures. Develop observability, monitoring, and alerting tools to provide complete visibility into pipeline reliability and performance. Optimize tiered data storage and elastic processing across on-prem, cloud, and hybrid environments to ensure scalable and cost-effective solutions. Enforce data governance, controls, and security standards to preserve confidentiality and operational integrity.
Qualifications
Over five years of demonstrated experience designing ingestion pipelines. Familiarity with equities, equity indices, futures, or delta one trading data is preferred. Experience processing real-time and batch financial market data. Proven ability to work in an agile, fast-paced environment and handle trading environment demands. Strong understanding of financial point-in-time and time-series data and analysis. Proven expertise in developing data quality control processes to detect gaps or inaccuracies. Experience with monitoring, observability, and alerting systems for data pipelines. Competent in both on-premise Linux systems and cloud platforms. Proficient in automated testing, CI/CD practices, and MLOps. Well-versed in compressed and optimized file formats such as Parquet and Iceberg.
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Location:
City Of London, England, United Kingdom
Job Type:
FullTime

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