Data Engineer
Primary stack
SQLPythonDatabricksETL
Job description
About the Position
We are seeking a skilled Data Engineer with advanced SQL and Python expertise to join our team in Vienna or Bratislava for a Hybrid role.
Responsibilities
- Rewrite, modernize, and migrate ETL pipelines
- Design and manage workflow orchestration processes
- Convert complex T-SQL logic into scalable Spark/Databricks jobs
- Optimize data pipelines for performance and scalability (partitioning, caching, parallelization, etc.)
- Collaborate with business and technical teams to deliver efficient data solutions
- Contribute to the improvement of architecture, processes, and engineering standards
Requirements
- Strong analytical skills covering the full lifecycle from business analysis and solution design to development and testing
- Advanced SQL and Python expertise
- Hands-on experience with Spark and Databricks
- Strong experience with ETL/ELT pipelines and orchestration tools (SSIS, ADF, Databricks Workflows)
- Expertise in data transformation, optimization, and performance tuning
- Proactive, solution-oriented mindset with strong problem-solving abilities
- Forward-thinking approach with interest in modern technologies, standards, and best practices
We Expect You to Have
- Advanced proficiency in SQL and Python
- Experience with Spark and Databricks
- Familiarity with ETL/ELT pipelines and orchestration tools (SSIS, ADF, Databricks Workflows)
- Strong data transformation, optimization, and performance tuning skills
- Proactive mindset with strong problem-solving abilities
- Interest in modern technologies, standards, and best practices
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact
[email protected]
- 420 775 371 991
©2023, All right reserved.
© The Workly. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.