Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJunior
Berlin, München
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Building data processing pipelines in Azure SQL MI and MS Fabric for strategy consulting. Azure DevOps and SQL experience required. Work with calculation engines and data harmonization.
Requirements
- Master, Bachelor, or outstanding apprenticeship in computer science, business informatics, automation technology, or equivalent
- Experience with CI/CD pipelines, Azure DevOps or comparable platforms, and build/control/integration/automation/orchestration tools
- Enthusiasm for data processing pipelines, databases, SQL, efficient calculation engine design with Microsoft Azure experience (MS Fabric or predecessors)
- Basic conceptual and architectural skills, high-quality awareness for clean software architecture and code
- Effective communication skills in English, good German skills are a plus
Tasks
- Create and manage data processing pipelines in Azure SQL MI and MS Fabric
- Consolidate and harmonize data sources
- Design and implement efficient calculation engines
- Collect, transform, and store data from various applications for reporting
- Monitor and improve quality and stability of existing data processing
- Collaborate closely with developers, architects, and stakeholders in an agile environment
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- CI/CD pipelines
- Azure DevOps
- Microsoft Azure
- MS Fabric
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roland Berger and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Building data processing pipelines in Azure SQL MI and MS Fabric for strategy consulting. Azure DevOps and SQL experience required. Work with calculation engines and data harmonization.
Requirements
- Master, Bachelor, or outstanding apprenticeship in computer science, business informatics, automation technology, or equivalent
- Experience with CI/CD pipelines, Azure DevOps or comparable platforms, and build/control/integration/automation/orchestration tools
- Enthusiasm for data processing pipelines, databases, SQL, efficient calculation engine design with Microsoft Azure experience (MS Fabric or predecessors)
- Basic conceptual and architectural skills, high-quality awareness for clean software architecture and code
- Effective communication skills in English, good German skills are a plus
Tasks
- Create and manage data processing pipelines in Azure SQL MI and MS Fabric
- Consolidate and harmonize data sources
- Design and implement efficient calculation engines
- Collect, transform, and store data from various applications for reporting
- Monitor and improve quality and stability of existing data processing
- Collaborate closely with developers, architects, and stakeholders in an agile environment
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- CI/CD pipelines
- Azure DevOps
- Microsoft Azure
- MS Fabric
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roland Berger and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roland Berger
Industry
Consulting
Description
Das Unternehmen entwickelt Strategien für die Transformation der Energiebranche in Zusammenarbeit mit führenden Energieversorgern und politischen Entscheidungsträgern.
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