Head of Data Engineering

Descripción del puesto

Senior Data Engineer with 5+ years designing and operating production data pipelines at scale, ideally at a fintech or lending company where data became the gating constraint on growth C1 English level or higher — role requires clear communication with a US-based executive team and non-technical stakeholders Demonstrated ability to produce a diagnostic and roadmap within the first weeks in a new role and present it credibly to technical and non-technical audiences Experience implementing medallion architecture with explicit schema contracts and lineage between layers Strong proficiency in Azure (Data Factory, ADLS) and Google Cloud (BigQuery); Databricks experience (asset bundles, Unity Catalog, GitHub Actions deployment) is a strong plus Track record of hiring and leading data engineering teams (2–5 engineers), including standing up intake processes and cross-functional data contracts Production-level Python and strong SQL fluency including BigQuery-specific optimization patterns (partitioning, clustering, cost-control idioms) Hands-on experience with orchestration frameworks: Airflow, Dagster, or Azure Data Factory pipelines Comfortable operating hands-on alongside the team — this is not a purely managerial role