Back
Mid-senior popular data-engineer role at a recognizable fintech with broad backend and pipeline requirements.
Core data engineering skills are transferable, but fintech reference-data domain knowledge increases domain specificity.
Explicit 6–11 years requirement plus mandatory Java, enterprise data pipeline and relational DB experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable Java-based backend data pipelines for financial reference data acquisition, transformation, validation, and distribution.
Ensure high reliability, scalability, and observability of data platforms supporting trading, risk, regulatory, and operational processes.
Collaborate with engineering, product, operations, and data stakeholders to drive data architecture, governance improvements, and operational excellence.
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.
Experience building and supporting enterprise-scale data processing systems and integrating third-party data vendors and APIs.
Hands-on experience with relational databases (e.g., PostgreSQL), data modeling, performance optimization, and implementing data validation and monitoring frameworks.
Experienced in financial reference data domains including instrument identifiers and counterparty data is preferred but not mandatory.
Skilled in operational ownership including incident troubleshooting, root-cause analysis, and building observable, resilient data platforms.
Familiar with cloud platforms (AWS or Azure), distributed systems, event-driven architectures, and regulated environments enhancing suitability.