Devoteam
Data Engineer Microsoft Azure(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Frankfurt am Main
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DEDevoteam
Data Engineer Microsoft Azure(m/w/x)
Frankfurt am Main
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
Building scalable data pipelines and models in cloud-based enterprise projects with Databricks and Fabric. 3+ years Data Engineer project experience in Azure ecosystems and German/English fluency required. Certified trainings, language courses, gaming lounge.
Anforderungen
- 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 (German & English)
- 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
Aufgaben
- Design and build scalable data pipelines using Azure Data Services, Databricks, or Microsoft Fabric
- Consolidate structured and unstructured data into governed lakes and warehouses for BI and AI
- Implement robust data models and storage architectures like Star, Snowflake, and Medallion
- Ensure data integrity, quality, lineage, security, and governance throughout the data lifecycle
- Automate workflows using Azure DevOps, GitHub Actions, or other CI/CD tools
- Collaborate in client workshops to translate requirements into technical Azure-native solutions
- Optimize performance and cost efficiency of the 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 batch or near-real-time analytics
- Deliver curated and governed data products for BI and AI use cases
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Azure Data Factory
- Azure Synapse
- Databricks
- Microsoft Fabric
- Microsoft Power BI
- Delta Lake
- Unity Catalog
- Feature Store
Benefits
Modernes Büro
- Modern offices in prime locations
- Gaming lounge
Flexibles Arbeiten
- Flexible remote or hybrid working
Weiterbildungsangebote
- Certified trainings and language courses
Karriere- und Weiterentwicklung
- International development opportunities
Team Events & Ausflüge
- Get-together parties and team events
Boni & Prämien
- Employee referral bonuses
Moderne Technikausstattung
- Modern IT equipment
Mitarbeiterrabatte
- Corporate benefits
Firmenfahrrad
- Company bike offer
Betriebliche Altersvorsorge
- Company pension scheme
Mentoring & Coaching
- Integration Day with mentoring programs
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Devoteam erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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DEDevoteam
Data Engineer Microsoft Azure(m/w/x)
Frankfurt am Main
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
Building scalable data pipelines and models in cloud-based enterprise projects with Databricks and Fabric. 3+ years Data Engineer project experience in Azure ecosystems and German/English fluency required. Certified trainings, language courses, gaming lounge.
Anforderungen
- 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 (German & English)
- 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
Aufgaben
- Design and build scalable data pipelines using Azure Data Services, Databricks, or Microsoft Fabric
- Consolidate structured and unstructured data into governed lakes and warehouses for BI and AI
- Implement robust data models and storage architectures like Star, Snowflake, and Medallion
- Ensure data integrity, quality, lineage, security, and governance throughout the data lifecycle
- Automate workflows using Azure DevOps, GitHub Actions, or other CI/CD tools
- Collaborate in client workshops to translate requirements into technical Azure-native solutions
- Optimize performance and cost efficiency of the 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 batch or near-real-time analytics
- Deliver curated and governed data products for BI and AI use cases
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Azure Data Factory
- Azure Synapse
- Databricks
- Microsoft Fabric
- Microsoft Power BI
- Delta Lake
- Unity Catalog
- Feature Store
Benefits
Modernes Büro
- Modern offices in prime locations
- Gaming lounge
Flexibles Arbeiten
- Flexible remote or hybrid working
Weiterbildungsangebote
- Certified trainings and language courses
Karriere- und Weiterentwicklung
- International development opportunities
Team Events & Ausflüge
- Get-together parties and team events
Boni & Prämien
- Employee referral bonuses
Moderne Technikausstattung
- Modern IT equipment
Mitarbeiterrabatte
- Corporate benefits
Firmenfahrrad
- Company bike offer
Betriebliche Altersvorsorge
- Company pension scheme
Mentoring & Coaching
- Integration Day with mentoring programs
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Devoteam erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Devoteam
Branche
IT
Beschreibung
Das Unternehmen ist auf cloudbasierte Enterprise Kundenprojekte spezialisiert und setzt modernste Microsoft Technologien ein.
Noch nicht perfekt?
- Devoteam
Data Engineer Microsoft Azure(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main - Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenEschborn - paiqo GmbH
Azure Data Engineer II - Agentic AI Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenPaderborn, Frankfurt am Main - paiqo GmbH
Senior Azure\u202fData Engineer - Agentic AI Platform(m/w/x)
Vollzeitmit HomeofficeSeniorPaderborn, Frankfurt am Main - Holman GmbH
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Vollzeitmit HomeofficeBerufserfahrenEschborn