Market Data Engineer – Domain Trading Expertise Required

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🕒 June 10

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BHFT

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

BHFT is a company specializing in advanced algorithmic trading solutions tailored for the complexities of today's financial markets. With over 30 years of experience in global trading, their approach emphasizes the development of strategic, quantitative trading methodologies that leverage state-of-the-art technology. They focus on automated trading platforms utilizing high-frequency algorithms, conducting thorough market-specific research, and offering a robust backtesting infrastructure to ensure optimal performance in various market conditions. BHFT’s vision encompasses a comprehensive approach to algorithmic trading, integrating software, hardware, and trading strategies to navigate fragmented market dynamics effectively.

📋 Description

• Capture & Ingestion: Own the full capture path from wire to lake • Build batch + stream pipelines (Airflow, Spark, dbt) for tick and reference data • Own L2/L3 order-book reconstruction with gap handling • Storage & Modeling: Own the Iceberg-over-S3 lakehouse • Drive storage cost optimisation via compaction, tiering, and snapshot expiry • Tooling & Libraries: Build libraries for schema management, data contracts, validation, and lineage • Reliability & Observability: Embed monitoring, alerting, SLAs/SLOs, and CI/CD across capture and pipeline layers on Kubernetes • Collaboration: Partner with Quant Research, Data Science, Backend, and DevOps to translate requirements into platform capabilities

🎯 Requirements

• 5+ years building production-grade data systems • Proven expertise architecting and launching data lakes / lakehouses from scratch • Hands-on experience with Apache Iceberg (or comparable table formats — Delta / Hudi) • Experience with market data and/or network packet capture • Experience normalizing market data from multiple vendors • Expert-level Python (incl. Polars and/or PySpark); Rust a strong plus • Modern orchestration (Airflow) and distributed processing (Apache Spark) • Advanced SQL: complex aggregations, window functions, query optimization, partition pruning • Solid fundamentals in Linux, containerization (Docker, Kubernetes / EKS), and cloud object storage (AWS S3) • DevOps & observability: CI/CD, infrastructure-as-code (Terraform), GitOps (ArgoCD) • Strong grasp of structured + unstructured / binary data, and storage optimization • English fluency for documentation and collaboration in an international team

🏖️ Benefits

• Compensation for health insurance • Compensation for sports • Compensation for professional development • Fully remote work from anywhere in the world, on a flexible schedule