[C3T] Data Platform Engineer (Metadata, DQ)

Job Description

Project – the aim you’ll have

Join a Media & Entertainment project building modern analytical solutions. You'll help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality. Key selling points: real ownership of a critical data platform component, work with modern open-source tooling, and close collaboration with Data Engineering, Data Governance, AI, and Data Management teams shaping organizational data standards.

Position – how you’ll contribute

• Implement, configure, and maintain the Metadata Management platform and Data Quality environment.
• Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools.
• Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting.
• Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules.
• Develop and extend integrations between Data Quality and Metadata Management solutions.
• Monitor the stability, performance, and security of the environment.
• Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms.
• Produce technical documentation and provide user support.

Qualifications

Expectations – the experience you need

• Minimum 3–5 years of experience as a Data Engineer / Data Platform Engineer or in a related role.
• Proven experience building and maintaining production data pipelines (ETL/ELT).
• Experience with Metadata Management / Data Catalog tools (e.g., DataHub, Apache Atlas, Amundsen).
• Experience with Data Quality tools (e.g., Great Expectations, Soda, Deequ, or similar).
• Knowledge of event-driven architecture.
• Experience in environments with established Data Governance or Master Data Management processes. 
• Strong proficiency in Python (APIs, automation, integrations) and SQL.
• Hands-on experience working in an AWS environment.
• Solid knowledge of CI/CD practices and GitHub.
• Experience implementing data validation, data testing, or data quality control mechanisms within pipelines.
• Experience with system integrations (REST API, GraphQL, or similar).
• Understanding of Data Governance, Metadata Management, Data Lineage, and Data Quality concepts.
• Ability to work independently in a project-based environment.
• Good communication skills in both Polish and English.

Additional Information

Our offer – professional development, personal growth

• Flexible employment and remote work
• International projects with leading global clients 
• International business trips  
• Non-corporate atmosphere 
• Language classes 
• Internal & external training 
• Private healthcare and insurance  
• Multisport card 
• Well-being initiatives