Senior Big Data Engineer - Data Lab & Splunk | IT - Datalab, Data Engineering Big Data, Splunk (m/w/d) senior
Cabo Personal GmbH
Job Summary
As a Senior Big Data Engineer, you will play a critical role in managing and migrating large-scale data infrastructures within a specialized Data Lab environment. Your day-to-day responsibilities will involve sizing Azure servers for SQL databases, selecting appropriate Azure resources, and establishing migration prerequisites such as access permissions and firewall configurations. You will lead the transition of databases from on-premises SQL clusters to Azure cloud environments while maintaining the administration of existing on-premises MS SQL systems. This role requires close coordination with application managers and various business departments to ensure seamless data integration. This position is particularly attractive due to its long-term stability, offering a 38-hour work week, 30 days of vacation, and the flexibility of remote work options after an initial on-site onboarding period in Augsburg. It represents an excellent opportunity for a technical expert to work at the intersection of traditional database administration and modern cloud migration.
Required Skills
Education
Degree in Computer Science, or alternatively, a qualified IT Specialist (Fachinformatiker) with relevant advanced training/certifications.
Experience
- Professional experience in senior-level Data Engineering or Big Data environments
- Extensive experience in the administration of MS SQL servers and databases
- Proven experience in sizing and operating servers and SQL databases within Microsoft Azure
- Experience in coordinating technical requirements between application owners and business departments
Languages
Additional
- The role is based in Augsburg with remote work possibilities; however, on-site presence is required for the initial onboarding phase. Candidates must be available for a full-time 38-hour work week starting April 1, 2026.
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