Senior Data Engineer

Key Responsibilities

• Ingestion&Pipelines: Architect batchstream pipelines (Airflow Kafka dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers.
• Storage&Modeling: Implement and tune S3 columnoriented and timeseries data storage for petabytescale analytics; own partitioning compression TTL versioning and cost optimisation.
• Tooling & Libraries: 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.
• Reliability & Observability: Embed monitoring alerting SLAs SLOs and CI/CD; champion automated testing data quality dashboards and incident runbooks.
• Collaboration: Partner with Data Science QuantResearch Backend and DevOps to translate requirements into platform capabilities and evangelise best practices.

Qualifications

Required Skills & Experience

• 7years building productiongrade data systems.
• Familiarity with market data formats (e.g. MDP ITCH FIX proprietary exchange APIs) and market data providers.
• Expertlevel Python (Go and C nice to have).
• Handson with modern orchestration (Airflow) and event streams (Kafka).
• Strong SQL proficiency: aggregations joins subqueries window functions (first last candle histogram) indexes query planning and optimization.
• Designing highthroughput APIs (REST/gRPC) and data access libraries.
• Strong Linux fundamentals containers (Docker) and cloud object storage (AWSS3 / GCS).
• Proven track record of mentoring code reviews and driving engineering excellence.

Additional Information

What we offer:

• Working in a modern international technology company without bureaucracy legacy systems or technical debt.
• Excellent opportunities for professional growth and self-realization.
• We work remotely from anywhere in the world with a flexible schedule.
• We offer compensation for health insurance sports activities and professional training.

Remote Work

Yes

Employment Type

Full-time