Strong Middle Data Engineer (Databricks / Azure)

About the roleWorkeronAI 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.ResponsibilitiesCollaborate with business stakeholders and technical teams to analyze data requirementsLead the design and implementation of data models and database structuresDesign and build complex batch and streaming ETL/ELT pipelines from multiple source systems into the data platformProfile, refactor and tune database performanceEnsure data integrity, consistency and accuracy through data quality measuresReview and mentor team membersContribute to the project's data strategy and align it with business objectivesRequirements4+ years of experience as a Data EngineerAdvanced PythonAdvanced SQLHands-on batch and streaming ETL/ELT on Databricks: Delta Lake, Structured Streaming, Auto Loader, Delta Live Tables, Unity Catalog, Databricks Workflows, Git integrationAzure: Data Lake Storage Gen2, Data Factory, Azure FunctionsEnglish sufficient for daily communication with an international teamLocated in UkraineNice to haveDatabricks Certified Data Engineer Associate or ProfessionalWhat we offerSalary 4000 USD-4600 USDFully remote work, schedule 9:00-18:00 or 10:00-19:00Paid vacation and sick leaveMedical insurance including mental health and vision careLearning and development: courses, webinars, internal knowledge-sharing sessionsWell-being activities and team eventsStrong engineering culture: real influence on architecture and processes, initiative is welcome, no micromanagementSupport with employment reservation via Diia for eligible candidates