Senior Data Engineer

<div><h3>Key Responsibilities</h3><ul><li><p><b>Ingestion&Pipelines:</b>Architect batchstream pipelines (Airflow Kafka dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers.</p></li><li><p><b>Storage&Modeling:</b>Implement and tune S3 columnoriented and timeseries data storage for petabytescale analytics; own partitioning compression TTL versioning and cost optimisation.</p></li><li><p><b>Tooling&Libraries:</b>Develop internal libraries for schema management data contracts validation and lineage; contribute to shared libraries and services for internal data consumers for research backtesting and real-time trading purposes.</p></li><li><p><b>Reliability&Observability</b>: Embed monitoring alerting SLAs SLOs and CI/CD; champion automated testing data quality dashboards and incident runbooks.</p></li><li><p><b>Collaboration:</b>Partner with Data Science QuantResearch Backend and DevOps to translate requirements into platform capabilities and evangelise best practices.</p></li></ul><h3>Qualifications</h3><h3>Required Skills&Experience</h3><ul><li>7years building productiongrade data systems.</li><li>Familiarity with market data formats (e.g. MDP ITCH FIX proprietary exchange APIs) and market data providers.</li><li>Expertlevel Python (Go and C nice to have).</li><li>Handson with modern orchestration (Airflow) and event streams (Kafka).</li><li>Strong SQL proficiency: aggregations joins subqueries window functions (first last candle histogram) indexes query planning and optimization.</li><li>Designing highthroughput APIs (REST/gRPC) and data access libraries.</li><li>Strong Linux fundamentals containers (Docker) and cloud object storage (AWSS3 / GCS).</li><li>Proven track record of mentoring code reviews and driving engineering excellence.</li></ul><h3>Additional Information</h3><p>What we offer:</p><ul><li>Working in a modern international technology company without bureaucracy legacy systems or technical debt.</li><li>Excellent opportunities for professional growth and self-realization.</li><li>We work remotely from anywhere in the world with a flexible schedule.</li><li>We offer compensation for health insurance sports activities and professional training.</li></ul><h3>Remote Work</h3><p>Yes</p><h3>Employment Type</h3><p>Full-time</p></div>#J-18808-Ljbffr