Middle Data Engineer
Ukraineonsitemid
via Greenhouse
About this role
Responsibilities: Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Azure Data Factory). Develop and refine data models to support BI reporting, analytics, and ML/AI use cases. Write efficient, well-documented T-SQL and PySpark code following team coding standards. Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability. Contribute to data governance practices, including lineage tracking, metadata management, and quality controls. Support CI/CD pipelines for data assets, ensuring version control and reproducibility. Partner with analytics engineers to scope, refine, and prioritise data requirements from business stakeholders.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, powershell, sql, azure, pyspark…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Ukraine. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonpowershellsqlazurepysparkkafkapower biclaudegitteams
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