Senior Data Engineer

The Digital & Technology Team (D&T) is part of HEINEKEN Business Services Poland (HBSP), focused on digitalizing and integrating brewery processes to embed a data-driven culture within Heineken.

• 7-10 years 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.

Data Platform & Services Engineering:

• Contribute to design and implementation of scalable data pipelines, ingestion frameworks, and processing engines for batch, streaming, and event-driven data.
• Architect and maintain modular data models and semantic layers optimized for analytics, AI, and self-service exploration.
• Define and manage orchestration frameworks such as Databricks Workflows, compute engines including Spark, SQL, and Python, and storage strategies like Delta Lake, ADLS, and Online Feature Stores.

Data Quality, Governance & Observability:

• Establish robust data quality monitoring, lineage tracking, metadata management, and anomaly detection processes.
• Collaborate with data management and governance teams to ensure compliance with global data policies, including GDPR.
• Implement observability standards using tools such as Great Expectations and Monte Carlo.

Enablement for AI Products:

• Deliver curated datasets and domain-specific knowledge layers for traditional AI and agentic AI applications.
• Design pipelines to process and enrich structured, graph, and unstructured data including text, documents, and images for ML models and LLMs or RAG-based systems.
• Partner with AI Engineering teams to support vector stores, embedding generation, and context retrieval layers.

Tooling & Self-Service Interfaces:

• Define and implement tooling frameworks and APIs for data and AI product development, monitoring, and access control.
• Co-design and manage a developer platform for developing and deploying data pipelines using tools such as dbt and Databricks Lakeflow.
• Promote reuse of data services across domains via documentation, data lineage, templates, data contracts, and support.

Leadership & Collaboration:

• Manage and mentor data engineering squads, lead technical design reviews, and provide coaching.
• Collaborate cross-functionally with Data Scientists, ML and AI Engineers, Product Owners, Business SMEs, and Platform teams.
• Contribute to the global data engineering vision, architecture principles, and capability roadmap.

The recruitment process is managed by HEINEKEN Global Shared Services Sp. z o.o. located in Kraków. Candidates have rights regarding data access, correction, deletion, processing restrictions, objections, transfer, and complaints under applicable laws. Provision of mandatory personal data per Polish Labor Code is required for recruitment; other data is voluntary. Data is processed for recruitment purposes and may be processed for future recruitments with consent. Consent may be withdrawn at any time.