Dein persönlicher KI-Karriere-Agent
(Senior) Data Engineer(m/w/x)
Designing scalable data platforms and building solutions with ADF, Databricks, and Fabric. Minimum 3 years in data solution design and implementation required. Access to international network, outstanding work-life balance.
Anforderungen
- Minimum 3 years in data solution design and implementation
- Proficient data modeling (dimensional, (de-)normalization)
- Hands-on with modern data technologies, cloud, big data, data warehousing
- Experience with cloud data platforms, Medallion architecture, ADF, Databricks, Fabric
- Good Python and SQL knowledge
- Interest in working with AI assistants in development
- Excellent communication skills for technical explanations
- Consulting mindset
- German fluency (C1 level)
- English fluency for stakeholder discussions
- Passion for future developments
- Eager to learn innovative IT solutions
- High self-motivation
- Ability to independently learn new topics
- Willingness to challenge existing solutions
- Team player
- Takes action and demonstrates responsibility
- Organizes work and solves tasks
- Coaches colleagues
- Strives to learn new innovative technologies
- Valid Databricks certifications (strong advantage)
- Valid Microsoft Fabric certifications (strong advantage)
- Valid MS Azure certifications (strong advantage)
Aufgaben
- Design scalable data platforms
- Build data solutions tailored to business needs
- Maintain data platforms and solutions
- Collaborate with stakeholders across teams
- Understand and deliver data requirements
- Optimize data workflows
- Monitor data performance
- Ensure data scalability and reliability
- Stay updated on data technology trends
- Apply innovative solutions to complex challenges
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Azure Data Factory
- Databricks
- Microsoft Fabric
- Python
- SQL
- CI/CD pipelines
- Git
Benefits
Karriere- und Weiterentwicklung
- Professional growth
- Access to international network
Sinnstiftende Arbeit
- Meaningful projects
- Opportunity to create future of sector
Lockere Unternehmenskultur
- Open culture
Sonstige Vorteile
- Outstanding work-life balance
- Curiosity and learning
Flexibles Arbeiten
- Flexible hybrid work model
- Home
- Jobs in Deutschland
- Berlin
- (Senior) Data Engineer(Senior) Data Engineer bei Tietoevry
Noch nicht perfekt?
- TietoevryVollzeitmit HomeofficeBerufserfahrenWien, Linz, Graz, Berlin, Regensburgab 3.954 / Monat
- unitb consulting GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Tietoevry
Lead Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorWien, Linz, Graz, Berlin, Regensburgab 4.476 / Monat - InterWorks
Data Engineer(m/w/x)
VollzeitRemoteBerufserfahrenBerlinab 100.000 / Jahr - MaibornWolff GmbH
Senior Data Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin
- Home
- Jobs in Deutschland
- Berlin
- (Senior) Data Engineer(Senior) Data Engineer bei Tietoevry
(Senior) Data Engineer(m/w/x)
Designing scalable data platforms and building solutions with ADF, Databricks, and Fabric. Minimum 3 years in data solution design and implementation required. Access to international network, outstanding work-life balance.
Anforderungen
- Minimum 3 years in data solution design and implementation
- Proficient data modeling (dimensional, (de-)normalization)
- Hands-on with modern data technologies, cloud, big data, data warehousing
- Experience with cloud data platforms, Medallion architecture, ADF, Databricks, Fabric
- Good Python and SQL knowledge
- Interest in working with AI assistants in development
- Excellent communication skills for technical explanations
- Consulting mindset
- German fluency (C1 level)
- English fluency for stakeholder discussions
- Passion for future developments
- Eager to learn innovative IT solutions
- High self-motivation
- Ability to independently learn new topics
- Willingness to challenge existing solutions
- Team player
- Takes action and demonstrates responsibility
- Organizes work and solves tasks
- Coaches colleagues
- Strives to learn new innovative technologies
- Valid Databricks certifications (strong advantage)
- Valid Microsoft Fabric certifications (strong advantage)
- Valid MS Azure certifications (strong advantage)
Aufgaben
- Design scalable data platforms
- Build data solutions tailored to business needs
- Maintain data platforms and solutions
- Collaborate with stakeholders across teams
- Understand and deliver data requirements
- Optimize data workflows
- Monitor data performance
- Ensure data scalability and reliability
- Stay updated on data technology trends
- Apply innovative solutions to complex challenges
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Azure Data Factory
- Databricks
- Microsoft Fabric
- Python
- SQL
- CI/CD pipelines
- Git
Benefits
Karriere- und Weiterentwicklung
- Professional growth
- Access to international network
Sinnstiftende Arbeit
- Meaningful projects
- Opportunity to create future of sector
Lockere Unternehmenskultur
- Open culture
Sonstige Vorteile
- Outstanding work-life balance
- Curiosity and learning
Flexibles Arbeiten
- Flexible hybrid work model
Über das Unternehmen
Tietoevry
Branche
IT
Beschreibung
The company is committed to developing enterprises and society through IT, focusing on business transformation and digitalization.
Noch nicht perfekt?
- Tietoevry
(Senior) Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWien, Linz, Graz, Berlin, Regensburgab 3.954 / Monat - unitb consulting GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Tietoevry
Lead Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorWien, Linz, Graz, Berlin, Regensburgab 4.476 / Monat - InterWorks
Data Engineer(m/w/x)
VollzeitRemoteBerufserfahrenBerlinab 100.000 / Jahr - MaibornWolff GmbH
Senior Data Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin