Head of Data Engineering
Ciudad de México
Posted 1 month ago
Job description
- 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