Join a newly created Operational Data Product Team to build an integrated Supply Chain Management data product for a large international retailer. Lead the design and implementation of data models, complex batch and streaming ETL/ELT pipelines, and database performance tuning. Requires 4+ years of experience as a Data Engineer with advanced Python, SQL, and hands-on Databricks and Azure skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the role
WorkeronAI is hiring a Strong Middle Data Engineer for a long-term project with a large international retailer. You will join a newly created Operational Data Product Team that builds an integrated, governed and timely Supply Chain Management data product used for strategic reporting, direct integration into transactional processes and future AI initiatives. The solution will become the blueprint for the client's next data products, so your design decisions will have a lasting impact.
Responsibilities
- Collaborate with business stakeholders and technical teams to analyze data requirements
- Lead the design and implementation of data models and database structures
- Design and build complex batch and streaming ETL/ELT pipelines from multiple source systems into the data platform
- Profile, refactor and tune database performance
- Ensure data integrity, consistency and accuracy through data quality measures
- Review and mentor team members
- Contribute to the project's data strategy and align it with business objectives
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Requirements
- 4+ years of experience as a Data Engineer
- Advanced Python
- Advanced SQL
- Hands-on batch and streaming ETL/ELT on Databricks: Delta Lake, Structured Streaming, Auto Loader, Delta Live Tables, Unity Catalog, Databricks Workflows, Git integration
- Azure: Data Lake Storage Gen2, Data Factory, Azure Functions
- English sufficient for daily communication with an international team
- Located in Ukraine
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Nice to have
- Databricks Certified Data Engineer Associate or Professional
What we offer
- Salary 4000 USD-4600 USD
- Fully remote work, schedule 9:00-18:00 or 10:00-19:00
- Paid vacation and sick leave
- Medical insurance including mental health and vision care
- Learning and development: courses, webinars, internal knowledge-sharing sessions
- Well-being activities and team events
- Strong engineering culture: real influence on architecture and processes, initiative is welcome, no micromanagement
- Support with employment reservation via Diia for eligible candidates
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