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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.


Job Segment: Database, SQL, Network, Engineer, Technology, Engineering

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