Senior Data Enigneer

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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