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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
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
- 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 +
- 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
Key Skills
Ranked by relevance
etl
gcp
ai
ai tools
python
cloud
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Login to Apply
- Posted
- Feb 09, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Ukraine
Industries
IT Services
IT Consulting
Categories
Engineering
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3 roles aligned with this opportunity
View Job Details
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2026-05-28
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Engineering
View Job Details
Related
Senior Application Engineer
2026-05-28
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Not Applicable
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Engineering
View Job Details
Related
Full Stack Software Engineer (all genders)
2026-05-21
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Engineering