£250k-£300k comp
You will be responsible for:
Design, develop, and implement Data Pipelines and Real-Time applications. Lead and educate the Risk team on engineering best practices. Evolve the risk system for real-time processing and scale-out and improve its reliability and monitoring.
Stack in play:
Python, SQL (ETL), Kafka, Flink, Kubernetes, Docker, Helm, Airflow
If you are an excellent Financial Markets Data Engineer / Developer and would like to transition to a major hedge fund to develop new solutions for a highly regarded Risk team, apply today and receive the formal specification!
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