This is a high-impact Senior Data Engineer role focused on building and scaling financial data platforms that underpin analytics, reporting, and decision-making across a complex fintech environment. You’ll work with large, business-critical datasets, owning end-to-end data pipelines that support both operational and commercial use cases within financial services.
Design, build, and maintain scalable data pipelines using Python and SQL
Ingest, transform, and model complex financial datasets
Partner closely with analytics, product, and engineering teams
Improve data quality, reliability, and observability
Contribute to cloud-based data architecture decisions
Strong experience with Python and SQL
Background in data engineering within fintech or financial services
Experience with cloud platforms (AWS, GCP, or Azure)
Proven ETL / ELT pipeline development experience
Solid understanding of data quality and governance principles
Market or reference data exposure
Experience with dbt, Airflow, or similar tools
Regulatory or reporting data knowledge
Work on business-critical financial data platforms
High ownership and technical impact
Clear progression within a growing data function
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