Data Engineer

• Drive the design and development of real time market data and analytics services on KDB+/q (GW/RDB/HDB/tickerplant, pub/sub, CEP)
• Own technical delivery: requirements, solution design, coding, testing, deployment, and production support in low latency environments
• Collaborate with Traders, Quants, and Technology to deliver high performance analytics (asof joins, windowed analytics, intraday aggregations)
• Optimize for latency and throughput (IPC, memory layout, partitioning, attributes, OS tuning, NUMA, hugepages)
• Implement and harden ETL pipelines for tick capture and reference data enrichment; integrate with Kafka and streaming services where applicable
• Contribute to coding standards, code reviews, and test automation for q/KDB+ (including PyKX integration points)
• Ensure observability (metrics, tracing, logging), production readiness, and on call excellence. Risk & Compliance: Appropriately assess risk in decisions, protect client reputation and assets, comply with applicable laws, regulations, and policies, apply sound ethical judgment, and escalate issues transparently

Data Engineer, KDB

Azure Databricks Data Engineer

Data Engineer – Tosca