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Data Engineer Microsoft Azure(m/w/x)
Building scalable data pipelines for enterprise clients, consolidating data into governed lakes and warehouses at cloud-based project specialist. 3+ years project experience in Azure data ecosystems required; German and English fluency essential. Gaming lounge, certified trainings and language courses.
Requirements
- 3+ years of real-world project experience as a Data Engineer in Azure ecosystems
- Fluency in German and English
- Advanced SQL and performance tuning
- Strong background in dimensional data modeling and familiarity with ETL patterns
- Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric
- Proficiency in Microsoft Power BI
- Exposure to Data Mesh or domain-oriented data architectures
- Experience with Delta Lake, Unity Catalog, or Feature Store
- Strong communication and documentation skills
- Agile, delivery-oriented mindset
- Collaborative and self-directed approach
- Analytical thinking with a focus on value delivery
- Ability to translate business requirements into technical solutions
- Experience working in agile, cross-functional teams
Tasks
- Design and build scalable data pipelines using Azure Data Services
- Maintain data pipelines with Databricks and Microsoft Fabric
- Consolidate structured and unstructured data into governed lakes and warehouses
- Implement robust data models and storage architectures like Star and Snowflake
- Ensure data integrity, quality, lineage, security, and governance
- Automate workflows using Azure DevOps and GitHub Actions
- Collaborate in client workshops to translate requirements into Azure-native solutions
- Optimize performance and cost efficiency of data infrastructure
- Modernize legacy ETL workflows with Azure-native services
- Build semantic models for enterprise BI using Star and Snowflake schema
- Design medallion-structured ingestion flows for analytics
- Deliver curated and governed data products for BI and AI use cases
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Data Factory
- Synapse
- Databricks
- Microsoft Fabric
- SQL
- Microsoft Power BI
- Delta Lake
- Unity Catalog
- Feature Store
Benefits
Modern Office
- Modern offices in prime locations
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
Snacks & Drinks
- Gaming lounge
Team Events
- Get-together parties and team events
Bonuses & Incentives
- Employee referral bonuses
Modern Equipment
- Modern IT equipment
Corporate Discounts
- Corporate benefits
Company Bike
- Company bike offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
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Data Engineer Microsoft Azure(m/w/x)
Building scalable data pipelines for enterprise clients, consolidating data into governed lakes and warehouses at cloud-based project specialist. 3+ years project experience in Azure data ecosystems required; German and English fluency essential. Gaming lounge, certified trainings and language courses.
Requirements
- 3+ years of real-world project experience as a Data Engineer in Azure ecosystems
- Fluency in German and English
- Advanced SQL and performance tuning
- Strong background in dimensional data modeling and familiarity with ETL patterns
- Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric
- Proficiency in Microsoft Power BI
- Exposure to Data Mesh or domain-oriented data architectures
- Experience with Delta Lake, Unity Catalog, or Feature Store
- Strong communication and documentation skills
- Agile, delivery-oriented mindset
- Collaborative and self-directed approach
- Analytical thinking with a focus on value delivery
- Ability to translate business requirements into technical solutions
- Experience working in agile, cross-functional teams
Tasks
- Design and build scalable data pipelines using Azure Data Services
- Maintain data pipelines with Databricks and Microsoft Fabric
- Consolidate structured and unstructured data into governed lakes and warehouses
- Implement robust data models and storage architectures like Star and Snowflake
- Ensure data integrity, quality, lineage, security, and governance
- Automate workflows using Azure DevOps and GitHub Actions
- Collaborate in client workshops to translate requirements into Azure-native solutions
- Optimize performance and cost efficiency of data infrastructure
- Modernize legacy ETL workflows with Azure-native services
- Build semantic models for enterprise BI using Star and Snowflake schema
- Design medallion-structured ingestion flows for analytics
- Deliver curated and governed data products for BI and AI use cases
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Data Factory
- Synapse
- Databricks
- Microsoft Fabric
- SQL
- Microsoft Power BI
- Delta Lake
- Unity Catalog
- Feature Store
Benefits
Modern Office
- Modern offices in prime locations
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
Snacks & Drinks
- Gaming lounge
Team Events
- Get-together parties and team events
Bonuses & Incentives
- Employee referral bonuses
Modern Equipment
- Modern IT equipment
Corporate Discounts
- Corporate benefits
Company Bike
- Company bike offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Devoteam
Industry
IT
Description
Das Unternehmen ist auf cloudbasierte Enterprise Kundenprojekte spezialisiert und setzt modernste Microsoft Technologien ein.
Not a perfect match?
- Devoteam
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