Azure Data Platform Engineer

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)

The Azure Data platform engineer is part of the Global Planning Data & Analytics Product team and is one of the professionals who, together with the agile devops team, work of delivering a releasable increment of the data solutions and platform product at the end of each sprint.

Within HEINEKEN our Analytical Solutions are created on a central Analytics Platform. This central platform is based on Azure cloud technology ranging from data lake, data bricks, SQL/Synapse, ML Studio, PowerBI and related Azure components to build complete analytics solutions. 

Your responsibilities would include:

• implementing data products and solutions based on business & IT requirements on the Analytics Enablement platform
• building data pipelines, implementing data integration solutions, and data models following AEP and Heineken standards in Azure.

You are a good candidate if you have:

• 3-5+ years experience required in a similar role
• Azure data lake storage & ingestion using Azure Data Factory
• independently using Azure Databricks for transformations & processing data 
• advanced Azure SQL & Synapse for modelling and serving data
• azure functions/Logic Apps
• experience in and expert knowledge of ETL and transformation technology across the different technologies
• experience in bringing analytics & reporting solutions from idea and experiment to scalable production and supportable deployments
• strong problem solving and root cause identification skills
• knowledge in Python and SQL, preferably also other programming languages
• an Agile mind-set and operate as part of an Agile Devops team.