Senior Data Engineer

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. Would you like to meet the Team, see our office, and much more? Visit our website: Heineken (https://heineken-dt.pl/) 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 Engineeringcontributing to the design and implementation of scalable data pipelines, ingestion frameworks, and processing engines for batch, streaming, and event-driven dataarchitecting and maintaining modular data models and semantic layers optimized for analytics, AI, and self-service explorationdefining 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 & Observabilityestablishing robust data quality monitoring, lineage tracking, metadata management, and anomaly detection processescollaborating with data management and governance teams to ensure compliance with global data policies, including GDPR and internal data quality standardsimplementing observability standards using tools and platforms such as Great Expectations and Monte Carlo. Enablement for AI Productsdelivering curated datasets and domain-specific knowledge layers for traditional AI products and agentic AI applicationsdesigning 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 systemspartnering 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 controlco-designing and managing a developer platform for developing and deploying data pipelines using tools and frameworks such as dbt and Databricks Lakeflowpromoting the reuse of data services across domains through clear documentation, data lineage, templates, data contracts, and support. Leadership & Collaborationmanaging and mentoring data engineering squads, leading technical design reviews, and providing coachingcollaborating cross-functionally with Data Scientists, ML and AI Engineers, Product Owners, Business SMEs, and Platform teamscontributing 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. #LI-HYBRID