Data Engineer - Business Intelligence & Analytics | Data Engineer (m/w/d) - Business Intelligence & Analytics
SIGNAL IDUNA
Job Summary
As a Data Engineer at SIGNAL IDUNA, you will serve as a 'Data Pioneer' responsible for the conceptual design and technical evolution of the company's Data Warehouse (DWH) architecture. Your daily activities will involve defining requirements for ETL/ELT pipelines, ensuring high data quality through metadata management, and overseeing the smooth operation and performance optimization of data systems. You will act as a vital bridge between business users and IT, translating complex requirements into scalable technical solutions while ensuring compliance with GDPR standards. This role offers the unique opportunity to shape the future of data intelligence in the insurance industry by transitioning current landscapes into modern cloud-based solutions. The position is highly attractive for those seeking an agile, user-centered work environment that offers 30 days of vacation, flexible working hours, and a strong focus on professional development and modern technologies.
Required Skills
Education
Successfully completed university degree with an analytical focus (e.g., Business Informatics, Computer Science, Data Science, Mathematics, Statistics) or a comparable qualification.
Experience
- Professional experience in designing and implementing Data Warehouse concepts and database systems
- Practical experience in developing and managing ETL/ELT processes and related tools
- Experience in cloud-based data solutions or a strong willingness to develop expertise in Azure, AWS, or GCP
- Professional experience acting as an interface between business departments and IT stakeholders
- Experience in the financial or insurance industry is preferred, specifically within property and casualty insurance
- Experience in process automation and evaluating new data technologies
Languages
Additional
- The role is a full-time, permanent position based in Hamburg or Dortmund. Candidates must be able to work within an agile organizational structure and comply with GDPR data protection requirements.
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