Data Engineer

🚀 We are looking Data Engineer to join an international project focused on ETL modernization, workflow orchestration, and migration to modern data platforms.

The role involves redesigning and optimizing existing ETL processes, converting T-SQL logic into scalable Spark/Databricks solutions, and improving overall data pipeline performance within a modern cloud-driven environment.

Project Details

• Start: August 2026
• Duration: Until December 2026+ (extension possible)
• Workload: Full-time
• Location: Vienna / Bratislava (hybrid) or remote with willingness to travel on-site regularly
• Language: Fluent English required; German is a plus

🧩 Responsibilities

• Rewrite and migrate existing ETL/ELT pipelines
• Convert complex T-SQL logic into Spark / Databricks jobs
• Design and maintain workflow orchestration processes
• Optimize data pipelines for scalability and performance (partitioning, caching, tuning, etc.)
• Collaborate across analysis, development, testing, and implementation phases
• Contribute to modern data engineering standards and best practices

🎯 Requirements

• Strong analytical mindset with the ability to move from business analysis to technical solution design and testing
• Strong hands-on experience with SQL and Python
• Solid experience with Spark and Databricks
• Experience building and maintaining ETL/ELT pipelines
• Experience with tools such as SSIS, Azure Data Factory, or Databricks Workflows
• Strong understanding of data transformation and performance optimization
• Proactive, solution-oriented working style
• Interest in modern technologies, standards, and forward-thinking approaches

🌍 We offer:

•  Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
•  Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy