Senior Azure Data Engineer
Kraków, PL, 31-864
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 Senior Azure Data Engineer as a technical leader, 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. The role is part of the Global Planning Data & Analytics Product team. 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:
- 5-7+ years experience required in a similar role
- Independently used Azure Databricks for transformations & processing data
-
Extensive knowledge of Azure Databricks, Spark and clusters
- Advanced knowledge of Azure SQL & Synapse for modelling and serving data
- Experience with Azure Functions and Logic Apps
- Knowledge of Delta Lake and Delta Live Tables
- Experience in and expert knowledge of ETL and transformation technology across the different technologies
- Knowledge in Python and SQL, preferably also other programming languages
- Experience in bringing analytics & reporting solutions from idea and experiment to scalable production and supportable deployments
- Leadership skills with experience in coaching and mentoring a team
- Strong problem solving and root cause identification skills
- Experience working on complex systems, handling multiple solutions, and participating in large-scale projects
- Ability to work effectively and build relationships at all levels in an organisation
- Team player skills, proactivity, and the ability to take initiative
- Very good time management skills and ability to prioritise
- A can-do and Hands-on attitude while dealing with some uncertainty in requirements & features to deliver MVP solutions
- An Agile mind-set and operate as part of an Agile Devops team.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Databricks Data pipelines DevOps ETL Machine Learning MVP Pipelines Power BI Python Spark SQL
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