October 15, 2024

Heineken International B.V.

Kraków

OTHER

Technology Specialist - Azure

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, Power BI 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:

5-7+ 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.