Digis is looking for a Data Engineer to join a long-term partnership with a well-known US e-commerce and lifestyle brand.

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

• 3+ years as a Data Engineer

• 2+ years with Python

• 2+ years with SQL

• Experience with ETL/ELT pipelines

• Cloud data tools (Databricks / GCP or similar)

• English: Upper-Intermediate +

Why Join

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