Life Sciences Data Engineer, Insights & Analytics
Summary
A data engineer role in life sciences consulting: design, build, automate and maintain robust data pipelines supporting BI on pharmaceutical projects, working alongside analysts and domain experts. Core stack is Azure Databricks, Azure Data Factory, PySpark and Python, with focus on data quality, lineage and test coverage.
BASE life science is seeking a Data Engineer to design, develop, automate, and maintain robust data pipelines for analytics in the life sciences sector. You will collaborate with analysts and domain experts to ensure data architecture supports BI across pharmaceutical projects.
You will leverage Azure Databricks, Azure Data Factory, PySpark and Python, while ensuring data quality, lineage, and end-to-end test coverage in a dynamic consulting environment.