[C3T] Data Platform Engineer (Metadata, DQ) at Software Mind · Warsaw

companyDescription Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. jobDescription 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). 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. additionalInformation 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