Senior Data Engineer

Globaldev Group is a team of professionals specializing in creating engineering teams for technological businesses for Western Europe, Israel, and the USA. Founded in 2010 in Kharkiv, with an office opened in Berlin in 2017, the company currently has 220 employees and development hubs in Israel, Ukraine, Portugal, and Poland.

• 4+ years of experience in Data Engineering
• Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks
• Experience with Azure Data Factory, Databricks, and PySpark
• Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures
• Strong SQL skills, including designing data models and SQL Warehouse views
• Experience translating business requirements into scalable and reliable data solutions/products
• Experience working with cloud-based data platforms (preferably Azure)
• Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines
• Understanding of data quality, performance optimization, and reliability best practices
• Experience working in cross-functional teams and delivering data solutions in a timely manner

• Design, build, and optimize scalable ETL/data pipelines on Azure Databricks
• Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services
• Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics
• Design SQL Warehouse views and data models for downstream consumption and analytics use cases
• Translate complex business requirements into scalable, reliable data products
• Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality
• Collaborate with cross‑functional teams and contribute to timely delivery of data solutions