Niuro is hiring a Lead Data Engineer for a fintech lending company. You will own the end-to-end data platform (architecture, pipelines, quality and governance) and stay hands-on. Fluent Spanish is required to work with business teams.
What you will do
Own the data platform: architecture, pipelines, quality and governance.
Remediate and optimize existing data assets for quality and consistency.
Build reliable pipelines between SQL Server, BigQuery and third-party integrations.
Define the target architecture: medallion layers, cataloging and lineage.
Set governance for auditability, access and cost across BigQuery and Azure.
Partner with Underwriting, Collections and Product, and mentor engineers.
What you bring
5+ years designing and operating production data pipelines, ideally in fintech or lending.
Experience inheriting legacy data and remediating it end to end.
Strong Google Cloud (BigQuery) and working knowledge of Azure (Data Factory, ADLS).
Production Python and strong SQL, including BigQuery partitioning, clustering and cost control.
Medallion architecture with schema contracts and lineage.
Hands-on by default. Fluent Spanish and B2+ English.
Nice to have: SQL Server, PostgreSQL, change data capture, Docker, CI/CD, entity resolution.
100% remote, long-term contract with Niuro. Apply through the button to create your profile and complete a short AI interview.
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