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Known fintech employer plus generalist data-engineer role with broad skill requirements increases competition.
Core data engineering skills are transferable, but financial reference-data domain knowledge moderately limits fit.
Explicit 6-11 years plus mandatory Java, data pipelines, and database expertise makes filters stringent.
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Design, build, and optimize scalable data pipelines and backend services in Java for acquiring, transforming, validating, and distributing financial reference data.
Ensure accuracy, consistency, and availability of reference data supporting trading, risk, regulatory, and operational processes through robust data quality controls and observability.
Collaborate with engineering and data teams to improve data architecture, governance, and operational automation, focusing on reliability and timeliness of data delivery.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
6 to 11 years of software engineering experience with strong expertise in Java backend development.
Proven experience in building and supporting large-scale enterprise data processing pipelines, integrating third-party data vendors and APIs.
Hands-on experience with relational databases (e.g., PostgreSQL), data modeling, schema design, and implementing data validation and monitoring frameworks.
Experienced Java backend developer specialized in enterprise-scale data pipeline architecture for financial or regulated environments.
Skilled in building observable, resilient data platforms with a strong operational ownership mindset and continuous improvement focus.
Knowledgeable in financial reference data domains and regulatory data workflows with familiarity in automation and cloud platforms (AWS/Azure) as advantageous.