Data Platform Engineer, Metadata, DQ

🕒 May 21

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• 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

• 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.

🏖️ Benefits

• 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