Our client is a German multinational pharmaceutical and biotechnology company and is one of the largest pharmaceutical companies and biomedical companies in the world.

Responsibilities

Create data models and related data pipelines in Azure DataBricks and Data Factory for analytical dashboards, integrating multiple data assets
Support the architectural decisions, and participate in the elaboration of new implementation proposals for our customers, e.g. providing high level estimations and helping establish the right assumptions
Drive, lead and coach other BE engineers to implement data pipelines following the best practices and influencing the customer requirements
Strive to understand the problems to solve and proactively make suggestions on the best way to addressed them (performance, data volume, data discrepancies or mismatches, operational costs, etc.)
Understanding, having had the experience of working with sales and consumer good analytics the most important metrics and aggregations to provide and the challenges they often have
Working with and supporting several analytical teams (frontend developers, product owners, QAs, solution architect)

Requirements

5+ years of relevant development experience and practice with data management, data storage, data modeling, data analytics, data migration, and database design
Expert hands-on experience with Databricks
Expert-level knowledge of SQL
Experienced with Azure Data Factory
Production coding experience with one of the data-oriented programming languages
Delta Lake
Upper-Intermediate level of English, both spoken and written (B2+)