Dear Consultant,
We are seeking an experienced Tech Lead with strong expertise in Python development, Azure Data Factory (ADF), and Azure Databricks to design and deliver large-scale data analytics and data warehouse solutions. The ideal candidate will have 8–10 years of overall experience with at least 5 years in Python and 4 years in Databricks. Send CV to (marcillina.tietjen@dcvtechnologies.co.uk) if you are interested.
Location: Kraków, Poland (Onsite)
Start Date: ASAP | 💼 Employment Type: B2B
Background Check: Required before onboarding
- Design and develop scalable data engineering solutions using Python, ADF, and Databricks
- Implement Object-Oriented Design and leverage design patterns in development
- Translate business logic into production-grade Azure-based data solutions
- Build data pipelines for multi-format data, integrating with Data Lake, SOA, and warehouse architectures
- Work with Azure Gen2 Storage, Azure SQL, Azure Functions, and Logic Apps
- Utilize Spark (Scala/Python) and T-SQL for data processing
- Manage and deliver multiple fast-paced projects with high attention to detail
- Collaborate with cross-functional teams and ensure consistent code quality
- Handle pressure situations with structured problem-solving and communication
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8–10 years in data engineering with 5+ years in Python, and 4+ years in Azure Databricks
- Hands-on experience with:
- Azure Data Factory
- Azure Databricks
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Azure Gen2 Storage, Azure SQL, Azure Function App, Logic App
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Spark (Scala/Python), T-SQL
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- Familiarity with Spark execution model (though limited experience in Spark performance tuning is acceptable)
- Strong understanding of OOP principles and software design patterns
- Manual testing experience; knowledge of automated frameworks is a plus
- Strong communication, team leadership, and problem-solving skills