Global Lead Data Engineer for AI & Analytics Platform

The HEINEKEN Company; Kraków; On-site; PLN 180,000 - 260,000; Full time

Job summary

HEINEKEN Kraków is seeking a Senior Data Engineer to lead globally, design scalable data products, and collaborate with regional teams to advance analytics, AI, and GenAI initiatives. You will own data models, pipelines, storage strategies, and observability stacks while enabling self-service interfaces for AI engineers and data scientists.

The role requires deep technical expertise, strategic thinking, and the ability to work in a matrixed global organization across Global and Regional teams.

Qualifications

• 7–10 years of experience in data engineering, platform development, and large-scale data systems.

Responsibilities

• Data Platform & Services Engineering: design scalable data pipelines and processing engines for batch, streaming, and event-driven data.
• Data Platform & Services Engineering: architect modular data models and semantic layers for analytics, AI, and self-service.
• Data Platform & Services Engineering: manage orchestration frameworks (Databricks Workflows), compute engines (Spark, SQL, Python).
• Data Quality, Governance & Observability: implement data quality monitoring, lineage, metadata, and anomaly detection.
• Data Quality, Governance & Observability: ensure compliance with GDPR and internal data quality standards.
• Data Quality, Governance & Observability: apply observability with tools like Great Expectations and Monte Carlo.
• Enablement for AI Products: deliver curated datasets and knowledge layers for AI products and LLMs.
• Enablement for AI Products: design pipelines for structured, graph, unstructured data used in ML models.
• Enablement for AI Products: support vector stores, embedding generation, and context retrieval layers.
• Tooling & Self-Service Interfaces: build tooling APIs for data and AI product development and access control.
• Tooling & Self-Service Interfaces: co-design developer platform for pipelines with dbt and Databricks Lakeflow.
• Leadership & Collaboration: mentor data engineering squads and lead design reviews.
• Leadership & Collaboration: collaborate with scientists, PMs, SMEs, and platform teams.

Skills

Leadership

Data engineering

Team mentoring

Cross-functional

English communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

Spark

SQL

Python

Delta Lake

ADLS

dbt

Databricks Lakeflow

Great Expectations

Monte Carlo

Online Feature Stores

Job description

HEINEKEN Kraków is seeking a Senior Data Engineer to lead globally, design scalable data products, and collaborate with regional teams to advance analytics, AI, and GenAI initiatives. You will own data models, pipelines, storage strategies, and observability stacks while enabling self-service interfaces for AI engineers and data scientists.

The role requires deep technical expertise, strategic thinking, and the ability to work in a matrixed global organization across Global and Regional teams.