Digis is looking for a Data Engineer to join a long-term partnership with a well-known US e-commerce and lifestyle brand.
You will work directly with the internal Data Lead, improve a mature data infrastructure, maintain ETL pipelines, and support new AI-driven workflows.
About the Project
A popular US men’s lifestyle retailer. The current focus is on maintaining and enhancing existing data systems, scaling ETL pipelines, integrating AI tools, and supporting new internal automation processes.
Responsibilities
• Maintain and refactor Python ETL pipelines • Support new Airtable workflows via API integrations • Scale and split API services • Implement and test data processes locally (pub/sub emulation) • Participate in Agile development with direct access to the Data Lead
Requirements
• 2+ years as a Data Engineer • 1+ years with Python • 1+ years with SQL • Experience with ETL/ELT pipelines • Cloud data tools (Databricks / GCP or similar) • English: Upper-Intermediate +
Benefits
• High-quality engineering team • Direct collaboration with the internal Data Lead • Modern data stack (Databricks, GCP, LLM APIs) • Stable long-term roadmap • High ownership, fast decision-making
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