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Senior Data Engineer(m/w/x)
Designing and building scalable data platforms on Azure, including Medallion architecture and Databricks. Cloud data platform and data modeling expertise required. Outstanding work-life balance, flexible hybrid work.
Requirements
- Minimum 3 years in designing and implementing data solutions, platforms, and interfaces
- Proficiency in data modeling (dimensional modeling, (de-)normalization, etc.)
- Hands-on with modern data technologies, cloud platforms, big data tools, data warehousing
- Knowledge of software development, CI/CD pipelines and Git
- Experience with cloud-based data platforms, Medallion architecture, Azure Data Factory, Databricks and/or Microsoft Fabric
- Excellent communication skills for explaining technical concepts to non-technical stakeholders
- Consulting mindset, fluency in German (C1 level) and English for stakeholder discussions
- Passion for future developments and eagerness to learn innovative IT solutions
- Team player, takes action, demonstrates responsibility, organizes work, solves tasks
- Agile end-to-end development process, learning from and coaching colleagues
- Strives to learn new innovative technologies
- Valid certifications in Databricks, Microsoft Fabric (and MS Azure) - strong advantage
Tasks
- Design scalable data platforms
- Build scalable data platforms
- Maintain scalable data platforms
- Tailor data solutions to business needs
- Collaborate with stakeholders to understand requirements
- Deliver impactful data initiatives
- Optimize data workflows
- Monitor data workflows
- Apply innovative solutions to complex challenges
- Stay ahead with data technology trends
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- data modeling
- data technologies
- cloud platforms
- big data tools
- data warehousing
- software development
- CI/CD pipelines
- Git
- cloud-based data platforms
- Medallion architecture
- Azure Data Factory
- Databricks
- Microsoft Fabric
Benefits
Career Advancement
- Professional growth
Purpose-Driven Work
- Meaningful projects
Informal Culture
- Open culture
Flexible Working
- Outstanding work-life balance
- Flexible hybrid work model
Learning & Development
- Curiosity and learning focus
Other Benefits
- Diversity and inclusion
Not a perfect match?
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Senior Data Engineer(m/w/x)
Designing and building scalable data platforms on Azure, including Medallion architecture and Databricks. Cloud data platform and data modeling expertise required. Outstanding work-life balance, flexible hybrid work.
Requirements
- Minimum 3 years in designing and implementing data solutions, platforms, and interfaces
- Proficiency in data modeling (dimensional modeling, (de-)normalization, etc.)
- Hands-on with modern data technologies, cloud platforms, big data tools, data warehousing
- Knowledge of software development, CI/CD pipelines and Git
- Experience with cloud-based data platforms, Medallion architecture, Azure Data Factory, Databricks and/or Microsoft Fabric
- Excellent communication skills for explaining technical concepts to non-technical stakeholders
- Consulting mindset, fluency in German (C1 level) and English for stakeholder discussions
- Passion for future developments and eagerness to learn innovative IT solutions
- Team player, takes action, demonstrates responsibility, organizes work, solves tasks
- Agile end-to-end development process, learning from and coaching colleagues
- Strives to learn new innovative technologies
- Valid certifications in Databricks, Microsoft Fabric (and MS Azure) - strong advantage
Tasks
- Design scalable data platforms
- Build scalable data platforms
- Maintain scalable data platforms
- Tailor data solutions to business needs
- Collaborate with stakeholders to understand requirements
- Deliver impactful data initiatives
- Optimize data workflows
- Monitor data workflows
- Apply innovative solutions to complex challenges
- Stay ahead with data technology trends
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- data modeling
- data technologies
- cloud platforms
- big data tools
- data warehousing
- software development
- CI/CD pipelines
- Git
- cloud-based data platforms
- Medallion architecture
- Azure Data Factory
- Databricks
- Microsoft Fabric
Benefits
Career Advancement
- Professional growth
Purpose-Driven Work
- Meaningful projects
Informal Culture
- Open culture
Flexible Working
- Outstanding work-life balance
- Flexible hybrid work model
Learning & Development
- Curiosity and learning focus
Other Benefits
- Diversity and inclusion
About the Company
Tietoevry
Industry
IT
Description
The company is committed to developing enterprises and society through IT, focusing on business transformation and digitalization.
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Erfahrener DevOps Engineer(m/w/x)
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SAP Solution Architect(m/w/x)
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