Data Engineer
Core
Design, build, and maintain scalable data pipelines and the Central Data Hub for MSF's global medical humanitarian operations, enabling data democratization and supporting advanced analytics.
Role type
Senior Data Engineer (Azure/Databricks)
Builds
Central Data Hub (CDH) pipelines, ETL/ELT frameworks, and production ML model monitoring
Domain
Humanitarian aid / Medical operations / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Data Lake Storage, ETL/ELT principles, data warehousing, medallion architecture, DevOps, CI/CD
Preferred skills
DBT, data modeling, Dynamics F&O, Workday, Databricks certification
Technologies
Azure Databricks, Azure Data Factory, Azure SQL Server, Microsoft Azure Data Lake Storage, Python, PySpark, SQL, DBT
Responsibilities
Design, build, and maintain reliable, reusable, and scalable data pipelines feeding the Central Data Hub; Ensure data quality, reliability, performance, monitoring, and documentation of pipelines and datasets; Manage data orchestration within the central data hub; Translate business requirements into technical designs for reliable and scalable pipelines; Support the operationalization and monitoring of machine learning models in production; Implement and support data quality controls in line with agreed standards and governance frameworks; Support analytics engineers and BI Analysts in using the Central Data Hub
Seniority
Senior, hands-on IC