Data Platform Engineer, Metadata, DQ

Software Mind

Data Platform Engineer developing cloud-native data ecosystem on AWS for Media & Entertainment projects. Collaborating with cross-functional teams to shape organizational data standards and improve data quality.

Posted 5/14/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLGraphQLPythonSQL

About the role

Key responsibilities & impact

Join a Media & Entertainment project building modern analytical solutions.
Help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality.
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.

Requirements

What you’ll 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).
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.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonSQLETLELTCI/CDGitHubdata validationdata testingdata quality controlsystem integrations

Soft Skills

collaborationindependencecommunicationtechnical documentationuser support