Technology Specialist - Databricks, 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 Technology Specialist – Azure is a Data Engineer in the Connected Brewery Data Platform product team, responsible for designing, building, and operating real-time and batch data flows. The role requires driving solutions in multiple analytics use cases and projects, ensuring a reliable, scalable, and cost-efficient data platform.

Your responsibilities would include:

• building and operating ingestion and transformation pipelines using Azure services

• automating deployments, monitoring and alerting using Azure DevOps

• collaborating with solution architects to ensure alignment with Heineken’s standards and best practices (i.e. quality, architecture, compliance & security)

• taking ownership of issues from diagnosis to resolution, driving continuous improvement.

You are a good candidate if you have:

• solid background in Azure event-driven services (Event Hubs, Event Grid, Functions, Logic Apps)

• hands-on with data lakes and pipelines (Databricks, ADF, Synapse)

• skills in organizing, optimizing, and securing data in Azure Data Lake Storage (ADLS Gen2)

• knowledge of governance frameworks and tools (Unity Catalog, RLS, data contracts, observability tools)

• experience with CI/CD pipelines (Azure DevOps), and integration with analytics layers (e.g PowerBI)

• experience with structured streaming or delta live/Lakeflows

• experience building ingestion from external rest APIs at scale

• SQL proficiency in designing procedures, views, optimizations and building models

• strong problem ownership and analytical judgement

• ability to collaborate across cultures and communicate technical concepts

• proactive, ownership-driven mindset, able to support, and drive priorities

• excellent English language.

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