Die KI-Suchmaschine für Jobs
Data Engineer - Mid & Senior Levels(m/w/x)
Beschreibung
You collaborate with business and technical teams to develop cloud-based Data Warehouse solutions, focusing on optimizing data pipelines and maintaining efficient ETL processes while ensuring reliable deployment and scalability.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Several years experience as a Data Engineer
- •Practical experience in data pipeline development
- •Eager to collaborate within an interdisciplinary team
- •Care about code quality, simplicity and performance
- •Working proficiency in verbal and written English
- •German speaking and writing skills are a strong plus
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Collaborate with business and tech experts to understand client needs.
- •Deliver cloud-based Data Warehouse solutions using Azure services.
- •Develop and optimize data pipelines for performance and efficiency.
- •Maintain ETL processes with tools like Databricks, Spark, and Kafka.
- •Implement CI/CD pipelines for automated testing and deployment.
- •Enhance data platform functionality and scalability using best practices.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Mehr Urlaubstage
- •30 days vacation
Flexibles Arbeiten
- •Hybrid working
Modernes Büro
- •Central modern offices
Weiterbildungsangebote
- •Full support for training
Lockere Unternehmenskultur
- •Friendly international workplace
Moderne Technikausstattung
- •State of the art technology
Team Events & Ausflüge
- •Company parties and events
Betriebliche Altersvorsorge
- •BaV Pension with contribution
Mitarbeiterrabatte
- •Discounted travel options
Karriere- und Weiterentwicklung
- •Strong industry partner network
- Redcare PharmacyVollzeitmit HomeofficeSeniorKöln
- EAT HAPPY GROUP
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Data Engineer - Mid & Senior Levels(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You collaborate with business and technical teams to develop cloud-based Data Warehouse solutions, focusing on optimizing data pipelines and maintaining efficient ETL processes while ensuring reliable deployment and scalability.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Several years experience as a Data Engineer
- •Practical experience in data pipeline development
- •Eager to collaborate within an interdisciplinary team
- •Care about code quality, simplicity and performance
- •Working proficiency in verbal and written English
- •German speaking and writing skills are a strong plus
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Collaborate with business and tech experts to understand client needs.
- •Deliver cloud-based Data Warehouse solutions using Azure services.
- •Develop and optimize data pipelines for performance and efficiency.
- •Maintain ETL processes with tools like Databricks, Spark, and Kafka.
- •Implement CI/CD pipelines for automated testing and deployment.
- •Enhance data platform functionality and scalability using best practices.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Mehr Urlaubstage
- •30 days vacation
Flexibles Arbeiten
- •Hybrid working
Modernes Büro
- •Central modern offices
Weiterbildungsangebote
- •Full support for training
Lockere Unternehmenskultur
- •Friendly international workplace
Moderne Technikausstattung
- •State of the art technology
Team Events & Ausflüge
- •Company parties and events
Betriebliche Altersvorsorge
- •BaV Pension with contribution
Mitarbeiterrabatte
- •Discounted travel options
Karriere- und Weiterentwicklung
- •Strong industry partner network
Über das Unternehmen
KI group GmbH
Branche
IT
Beschreibung
KI performance transforms how organisations use data and empower them for the new era of AI. The company focuses on building data platforms and AI products to generate measurable value, partnering with Microsoft, Databricks, and the KI group ecosystem.
- Redcare Pharmacy
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Vollzeitmit HomeofficeSeniorKöln - EAT HAPPY GROUP
Data Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeKöln - q.beyond AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg - accantec information solutions AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHeidelberg, Hamburg, Frankfurt am Main, Köln, Berlin - Computacenter
(Senior) Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen, Stuttgart, Hannover, Nürnberg, Köln, Düsseldorf, Essen