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See allResponsibilities:
- Drive end-to-end delivery of core data engineering initiatives, including market data platforms, real-time and batch pipelines, feature stores, and scalable storage and processing systems.
- Own data ingestion and processing for live and historical datasets, defining SLAs, data quality metrics, monitoring, schemas, and governance.
- Build and maintain data infrastructure and tooling, including collectors, ingestion services, metadata/catalog systems, and compute workflows.
Qualifications:
- 6+ years in Data Engineering, with at least 2+ years in a lead role.
- Strong experience with streaming systems, columnar storage, and distributed compute (e.g. Kafka/Redpanda, Parquet/ORC, Spark/Flink/Ray).
- Proficiency in Python and at least one systems language (Rust, Go, or C++).
What we offer:
- 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.
BHFT
BHFT is a proprietary algorithmic trading firm managing the full trading lifecycle — from software development to designing and deploying trading strategies. We are a 230-person company with a strong technology focus, where 70% of the team are engineers and technical specialists.