Senior AI Data & Metadata Platform Engineer

Hitachi Vantara Corporation; Polska; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Empowering Projects

Empowering Growth

DE&I Matters

Career Development

Comprehensive Benefits

Flexible Opportunities

Job summary

GlobalLogic is seeking senior engineers to build enterprise-scale data platform capabilities that securely discover, access, and activate data across systems and providers. You will contribute to metadata, AI enablement, and data governance while delivering scalable catalog services.

Proficiency in SQL, Python, and cloud platforms (AWS, GCP, Azure) is essential, along with experience in data modelling, pipelines, and modern ecosystems like Spark, Databricks, and Snowflake.

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 - 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

Data modelling

Pipelines orchestration

CI/CD

Communication

Problem solving

Data platforms

Tools

AWS

GCP

Azure

Spark

Databricks

Snowflake

BigQuery

Redshift

Airflow

dbt

Git

Job description

GlobalLogic is seeking senior engineers to build enterprise-scale data platform capabilities that securely discover, access, and activate data across systems and providers. You will contribute to metadata, AI enablement, and data governance while delivering scalable catalog services.

Proficiency in SQL, Python, and cloud platforms (AWS, GCP, Azure) is essential, along with experience in data modelling, pipelines, and modern ecosystems like Spark, Databricks, and Snowflake.