Senior Data Engineer

We're a global algorithmic trading company with an advanced tech stack. Our company implements the full cycle, from developing trading strategies and algorithms to creating software. We pay great attention to thorough market research and the continuous development of our technological infrastructure.

Responsibilities

• Ingestion & Pipelines: Architect batch + stream pipelines (Apache Airflow, Apache Kafka, dbt) for diverse structured and unstructured market data. Provide reusable SDKs in Python and Go for internal data producers.
• Storage & Modeling: Implement and tune Amazon S3, column-oriented and time-series data storage for petabyte-scale analytics; own partitioning, compression, TTL, versioning, and cost optimization.
• 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 Continuous Integration/Continuous Deployment (CI/CD); champion automated testing, data quality dashboards, and incident runbooks.
• Collaboration: Partner with Data Science, Quant Research, Backend, and DevOps to translate requirements into platform capabilities and evangelize 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 (Apache Airflow) and streaming platforms (Apache 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, Google Cloud Storage).
• 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.