Senior Metadata & AI Data Platform Engineer

GlobalLogic; Kraków; On-site; PLN 250,000 - 400,000; Full time

Job summary

GlobalLogic Kraków is seeking senior data engineers to build metadata, catalogs, and AI-ready data foundations supporting WPP Open applications and analytics. You will design scalable data platform capabilities and champion data governance in enterprise environments.

You will work with cloud platforms (AWS, GCP, Azure), SQL, Python, and modern tools to deliver reusable services and search experiences. Strong communication and hands-on delivery are essential.

Qualifications

• Strong experience with SQL, Python, and cloud-based platforms like AWS, GCP, or Azure.
• Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
• Familiarity with modern data ecosystems — e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• A proactive approach to solving problems and improving systems.
• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• A passion for data and how it can drive better decisions in media, marketing and beyond.

Responsibilities

• Building metadata and catalog services
• Implementing knowledge graph and semantic capabilities
• Delivering data discovery and search experiences
• Enabling AI‑ready data foundations
• Building context services for AI agents and applications
• Providing subject matter expertise on metadata and AI data services

Skills

SQL

Python

Cloud platforms

Airflow

dbt

Spark

Databricks

Snowflake

BigQuery

Redshift

CI/CD

Version control

Testing

Communication

Data modelling

Governance

Knowledge graph

Metadata

Tools

OpenMetadata

DataHub

Atlan

Neo4j

Job description

GlobalLogic Kraków is seeking senior data engineers to build metadata, catalogs, and AI-ready data foundations supporting WPP Open applications and analytics. You will design scalable data platform capabilities and champion data governance in enterprise environments.

You will work with cloud platforms (AWS, GCP, Azure), SQL, Python, and modern tools to deliver reusable services and search experiences. Strong communication and hands-on delivery are essential.