Senior Data Engineer - AI & Data Platform Leader (Hybrid)

Heineken; Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

HEINEKEN Kraków is seeking a Senior Data Engineer to lead global data engineering initiatives, design scalable data models, and build self-service interfaces for AI engineers and data scientists.

The role focuses on orchestration, data governance, and toolchains like Databricks and Delta Lake, with a strong emphasis on collaboration across Global and Regional teams in a dynamic, global beer company.

Qualifications

• 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.

Responsibilities

• 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 GDPR compliance
• implementing observability standards using tools 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
• defining 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 dbt and Databricks Lakeflow
• promoting the reuse of data services across domains through clear documentation, data lineage, templates, data contracts, and support.
• 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.

Skills

Data engineering

Databricks

Data pipelines

Leadership

Observability

GenAI

Unstructured data

SQL

Python

Tools

Delta Lake

ADLS

Great Expectations

Monte Carlo

dbt

Databricks Lakeflow

Job description

HEINEKEN Kraków is seeking a Senior Data Engineer to lead global data engineering initiatives, design scalable data models, and build self-service interfaces for AI engineers and data scientists.

The role focuses on orchestration, data governance, and toolchains like Databricks and Delta Lake, with a strong emphasis on collaboration across Global and Regional teams in a dynamic, global beer company.