Senior Data Engineer
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Job Description
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 :
- 6 years of experience building and maintaining production-grade data systems with proven expertise in architecting and launching data lakes from scratch.
- Expert-level Python development skills (Go and C nice to have).
- Hands-on experience with modern orchestration tools (Airflow) and streaming platforms (Kafka).
- Advanced SQL skills including complex aggregations window functions query optimization and indexing.
- Experience designing high-throughput APIs (REST/gRPC) and data access libraries.
- Solid fundamentals in Linux containerization (Docker) and cloud object storage solutions (AWS S3 GCS).
- Strong knowledge of handling diverse data formats including structured and unstructured data with experience optimizing storage strategies such as partitioning compression and cost management.
- English at C1 level - confident communication documentation and collaboration within an international team.
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
Employment Type
Remote
