Digital & Technology Team (D&T) is an integral division of HEINEKEN Business Services Poland (HBSP) . We are committed to making Heineken the most connected brewery in the world. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us, you will work on one of the most dynamic and innovative teams and directly help shape the future of Heineken.

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The Senior Data Engineer is accountable for leading globally and collaborating with regional data engineering teams to design, deliver, and continuously improve high-quality, scalable, and reusable enterprise data products and services. These services form the backbone of analytics, AI, and GenAI initiatives across global business domains. You will own the design and engineering of data models, orchestration pipelines, storage strategies, compute environments, and observability stacks—with a strong focus on self-service interfaces for AI engineers, analysts, and data scientists. This role requires combining deep technical expertise with strategic thinking, including support for feature engineering, unstructured data, and GenAI use cases.

Your Responsibilities Would Include

Data Platform & Services Engineering

contributing to the design and implementation of scalable data pipelines, ingestion frameworks, and processing engines for batch, streaming, and event-driven data
architecting and maintaining modular data models and semantic layers optimized for analytics, AI, and self-service exploration
defining and managing orchestration frameworks, such as Databricks Workflows, compute engines, including Spark, SQL, and Python, and storage strategies, including Delta Lake, ADLS, and Online Feature Stores

Data Quality, Governance & Observability

establishing robust data quality monitoring, lineage tracking, metadata management, and anomaly detection processes
collaborating with data management and governance teams to ensure compliance with global data policies, including GDPR and internal data quality standards
implementing observability standards using tools and platforms such as Great Expectations and Monte Carlo

Enablement for AI Products

delivering curated datasets and domain-specific knowledge layers for traditional AI products and agentic AI applications
designing pipelines that process and enrich structured, graph, and unstructured data, including text, documents, and images, used in ML models and by LLMs or RAG-based systems
partnering with AI Engineering teams to support vector stores, embedding generation, and context retrieval layers

Tooling & Self-Service Interfaces

defining and implementing tooling frameworks and APIs for data and AI product development, monitoring, and access control
co-designing and managing a developer platform for developing and deploying data pipelines using tools and frameworks such as dbt and Databricks Lakeflow
promoting the reuse of data services across domains through clear documentation, data lineage, templates, data contracts, and support

Leadership & Collaboration

managing and mentoring data engineering squads, leading technical design reviews, and providing coaching
collaborating cross-functionally with Data Scientists, ML and AI Engineers, Product Owners, Business SMEs, and Platform teams
contributing to the global data engineering vision, architecture principles, and capability roadmap

You Are a Good Candidate If You Have

7-10 years of experience in data engineering, platform development, and/or large-scale data systems
Proven leadership of engineering teams
Strong hands-on knowledge of modern data platforms such as Databricks
Experience with data pipeline orchestration, data modeling, data quality frameworks, and observability stacks
Familiarity with unstructured data processing and GenAI enablement pipelines is highly desirable
Comfortable working in a matrixed global organization with both Global and Regional teams

At HEINEKEN Kraków, we take integrity and ethical conduct seriously. If someone has concerns about a possible violation of legal regulations indicated in the Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to the global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting the proper option in this tool or by communicating it on the hotline.

Senior Data Engineer

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