Data Engineer

Overview Data Engineer - help power the analytics platforms We are a leading proprietary trading firm focused on helping the world price and manage risk. Since the mid-1990s, we’ve built a culture of innovation, collaboration and curiosity, where engineers, traders and researchers work side by side to solve some of the most interesting problems in financial markets. The role We’re looking for a Data Engineer to help power the analytics platforms used across the firm. You’ll build and maintain the data pipelines behind internal dashboards used daily by traders, researchers and leadership to make fast, data-driven decisions. Responsibilities Build and own scalable data pipelines powering key trading analytics Ensure the quality, reliability and accuracy of core datasets Work closely with Traders, Data Scientists and Quant Researchers to deliver the data they rely on Identify and resolve data quality issues before they impact downstream metrics Improve and standardise ETL workflows and analytics tooling across the firm Enhance internal metrics dashboards and UI tools Qualifications Strong SQL and Python skills Experience building data pipelines and ETL workflows (e.g. PySpark) Ability to work with large-scale data transformations Collaborative mindset and strong communication skills Nice to have: experience with dashboarding tools such as Dash. This is an opportunity to build high-impact data products used across the trading floor, in an environment where engineering work directly influences trading decisions. #J-18808-Ljbffr Radley James