Senior Data Engineer building scalable analytics platform in BigQuery for Trumid's fintech services. Focus on data modeling and governance to support analytics and reporting needs.
About the role
- Data Engineer focusing on real-time data platform development to support pricing algorithms for Trumid. Collaborating with quantitative researchers and engineers in a dynamic fintech environment.
Responsibilities
- Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink
- Ensure production SLAs are met for systems that directly impact pricing and trading workflows
- Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting
- Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed
Requirements
- 2–5 years building production data systems or backend infrastructure
- Strong programming skills in Python and SQL
- Experience building or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems)
- Familiarity with distributed systems or real-time data processing architectures
- Experience operating production systems in cloud environments
- Strong problem-solving skills and interest in building reliable data infrastructure
Benefits
- Highly competitive compensation
- Fully paid medical, dental and vision coverage
- Team-oriented and collaborative company culture
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