Senior Data Engineer

Company Description

We are a proprietary algorithmic trading firm. Our team manages the entire trading cycle, from software development to creating and coding strategies and algorithms. We have a team of 200+ professionals, with a strong emphasis on technology—70% of our team is made up of technical specialists.

We operate as a fully remote organization, fostering a culture of transparency, clarity, and open communication. We are expanding into new markets and technologies, continuously innovating in the world of algorithmic trading.

Job Description

Key Responsibilities

• Ingestion & Pipelines: Architect batch + stream 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, column‑oriented and time‑series data storage for petabyte‑scale 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, Quant Research, 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.