Data Engineer

Design, build, and maintain robust real-time market data pipelines from multiple cryptocurrency exchanges and data vendors, ensuring high availability, low latency, and data integrity across feeds; manage historical data storage, ingestion, normalisation, and cataloguing of tick data, order book snapshots, trade data, and derived market signals for quantitative research and back-testing; collaborate with researchers and trading engineers to deliver clean, well-documented datasets that accelerate alpha discovery and strategy development; build data-serving layers (time-series DBs, data APIs, query engines) for large-scale historical queries and real-time access; monitor pipeline health, implement observability, and respond to data quality issues or latency that could impact live trading; evaluate and adopt modern data engineering technologies (streaming frameworks, columnar formats, distributed query engines, cloud-native platforms) to improve throughput and reliability; document data schemas, pipeline architectures, and runbooks for maintainability across the team.