data engineer for supply chain data

Intellias helps retailers deliver consistent, omnichannel experiences through technology. Its Operational Data Product Team develops integrated, governed, and timely Supply Chain Management data solutions that support strategic reporting, transactional processes, and advanced AI.

• Collaborate with business stakeholders and technical teams to understand and analyze data requirements;
• Lead the design and implementation of data models and database structures that meet business needs;
• Profile, refactor, and tune database performance;
• Design and implement complex ETL processes to extract, transform, and load data from various source systems into the data warehouse;
• Ensure data integrity, consistency, and accuracy through robust data quality assurance measures;
• Review and support team members by providing guidance and mentorship;
• Supervise and contribute to the project’s data-driven strategy, aligning it with business objectives.

• 4+ Years of experience as an engineer;
• Advanced Python skills;
• Advanced SQL skills;
• Experience with batch and streaming ETL/ELT processes on Databricks;
• Expertise in Delta Lake, Structured Streaming, Auto Loader, Delta Live Tables, Unity Catalog, Databricks Workflows, and Git integration;
• Experience with Azure Data Lake Storage Gen2, Azure Data Factory, and Azure Functions;
• Nice to have: Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional.

• Remote work is available in Poland or Ukraine;
• No conditions specified.