Senior Metadata & AI Data Services Engineer IRC304872

GlobalLogic; Poland; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Empowering Projects

L&D support

DEI commitments

Career growth

Benefits package

Flexible relocation

Job summary

GlobalLogic seeks senior data engineers to build metadata, catalog services, and AI-enabled data foundations across enterprise systems. You will design scalable data platforms, implement knowledge graphs, and enable discovery for AI agents and applications.

You'll work with cloud-native deployments on AWS, GCP, or Azure, integrate with modern data ecosystems, and help govern data across complex environments while mentoring colleagues and shaping technical direction.

Qualifications

• Strong experience delivering enterprise-scale data platform capabilities beyond traditional ETL solutions.
• Experience implementing data virtualization, federation, metadata platforms, governance capabilities, or large-scale platform services.
• Experience with CI/CD, version control and testing best practices.
• Strong communication skills and the ability to drive technical direction.

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

Tools

Airflow

dbt

Spark

Databricks

Snowflake

BigQuery

Redshift

Git

Job description

Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking senior engineers who have:

• Delivered enterprise-scale platform capabilities rather than traditional ETL solutions.
• Led implementation of complex data platforms in production environments.
• Worked with cloud-native technologies on Microsoft, Google Cloud, AWS, or comparable ecosystems.
• Built reusable services, APIs, integrations, and platform components.
• Supported operational applications and AI workloads, not just reporting and analytics.
• Operated within highly governed enterprise environments.
• Experience implementing data virtualization, federation, metadata platforms, governance capabilities, media data integration, or similar large-scale platform services.
• Strong opinions informed by hands-on delivery experience and a willingness to contribute to technical direction.

Requirements

Implement the metadata, catalog, semantic, discovery, and AI enablement capabilities that allow users and agents to find, understand, and consume enterprise data.

• 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.

Experience with technologies and platforms such as

• OpenMetadata, DataHub, Atlan
• Knowledge graph and semantic technologies
• Neo4j and graph databases
• Metadata management and data catalog platforms

#LI-AR1

Job 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

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.