Senior Market Data Engineer Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns. The role You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows. Key responsibilities include: Partnering with research and quant teams to deliver insights from tick-by-tick market data Serving high-quality data to large-scale backtesting and research platforms Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes Designing, implementing, and monitoring robust data quality frameworks across all pipelines Your skillset: Strong knowledge of multiple financial asset classes Deep understanding of Level 2 and Level 3 tick-by-tick data Solid understanding of market structure (e.g., NBBO rules, secondary markets, dark pools) Familiarity with exchange protocols is a strong plus Strong Python skills with experience using data libraries; C++ is a plus