[C3T] Data Platform Engineer (Metadata, DQ)

Software Mind develops solutions for global companies, including tech giants and unicorns. The company builds cross-functional engineering teams focusing on ownership and creativity, operating in a culture valuing openness, respect, grit, and enjoyment.

• 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).
• 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.

• 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.