Senior Data Engineer (LATAM)
Core
Design, build, and maintain production-grade data pipelines and core platform components on Databricks and Azure Data Lake Storage Gen2, supporting a Bronze/Silver/Gold medallion architecture and supervising a team of data engineers.
Role type
Senior Data Engineer (Team Lead)
Builds
Production data pipelines, dimensional models, reusable platform functions, and Power BI datasets/reports
Domain
Environmental conservation / Non-profit / Cloud Data Engineering
Required skills
Databricks, Azure Data Lake Storage Gen2, SQL, Dimensional modelling, Power BI, Python, PySpark, Team leadership
Preferred skills
Survey/ODK data collection tools, Data governance (Unity Catalog), Unity Catalog
Responsibilities
Design and maintain robust data pipelines on Databricks/ADLS Gen2; Translate requirements into dimensional models; Build reusable platform functions; Support Power BI dataset and report development; Manage Power BI Premium lifecycle; Develop data visualization methodologies; Embed data quality checks; Document ingestion and transformation logic; Matrix manage a team of 3-5 data engineers.
Seniority
Senior, hands-on IC with team leadership