Your vision. Our solutions.Vienna, AustriaHybrid
Senior Data Enigneer
About
Start: Q1. 2027
Duration: 12 months++
Workload: Full-time
Location: Vienna & remote (1 time per Months on site)
Responsibilities
- Design and develop ETL/ELT processes within Databricks
- Analyze source systems and define suitable data integration approaches
- Develop and maintain analytical data models, data marts, and data products
- Build scalable data transformation pipelines using Spark/PySpark
- Ensure data quality, consistency, and performance across analytical solutions
- Support testing, deployment, and production activities
- Collaborate with Business Analysts, reporting experts, and business stakeholders to understand data requirements
- Contribute to solution architecture and technical implementation decisions
- Troubleshoot and resolve data-related issues
Requirements
- Minimum 5 years of relevant experience as a Data Engineer or in a comparable role
- Strong hands-on experience with Databricks platform development
- Advanced SQL knowledge and strong Spark/PySpark development skills
- Proven experience designing and implementing ETL/ELT solutions
- Strong knowledge of Data Warehousing, dimensional modelling, analytical data structures, and data marts
- Experience with enterprise-scale data platforms, data quality, and data governance
- Experience optimizing large-scale analytical workloads
- Proven experience working in Agile/Scrum environments
- Experience within banking, financial services, controlling, or management reporting is highly beneficial
- Strong analytical and problem-solving skills, an independent working style, a high level of ownership, and experience collaborating within international teams
Start
Immediate2 weeks notice1 month notice
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