Die KI-Suchmaschine für Jobs
Data Engineer - Finance Data Hub(m/w/x)
Building cloud-based pipelines and data products on Snowflake for B2B payment transaction processing. Proficiency in Azure Data Factory and Python required. Flexible working hours, parent-child offices, and comprehensive health management.
Anforderungen
- Degree in Computer Science, Business Informatics, or comparable qualification
- Expertise in SQL databases and data modeling
- Experience in Snowflake (ideal)
- Experience developing and integrating data products
- Familiarity with Azure Data Factory and Python
- Knowledge of modern cloud technologies, preferably Azure
- Hands‑on experience creating Power BI reports
- Knowledge of CI/CD or container technologies (plus)
- Analytical thinking and effective communication skills
- Teamwork skills and hands-on mentality
- Fluency in English and very good German
- Passion for financial databases and learning
Aufgaben
- Develop and maintain cloud-based data pipelines
- Build Finance data products on Snowflake
- Integrate financial and transactional data sources
- Optimize ETL processes and data quality
- Design DataFlows and DataSets for Finance
- Create and manage Power BI reports
- Collaborate with Product Owners and Data Scientists
- Deliver analytical data products to Business Units
- Manage data governance for Finance products
- Drive development of Finance data solutions
- Modernize the Finance data architecture
- Support migration to cloud and big-data technologies
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
Flexibles Arbeiten
- •60/40 hybrid model
- •Flexible working hours
Familienfreundlichkeit
- •Family-friendly working time models
- •Parent-child offices
Gesundheits- & Fitnessangebote
- •Comprehensive company health management
Firmenfahrrad
- •eBike leasing via Jobrad
Sonstige Vorteile
- •Modern learning environment
- DKV MobilityVollzeit/Teilzeitmit HomeofficeSeniorRatingen
- q.beyond AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg - Computacenter
Data Engineer - Data & AI Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - Galderma Laboratories GmbH
IT Data Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenDüsseldorf - Galderma Laboratories GmbH
IT Data Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenDüsseldorf
Data Engineer - Finance Data Hub(m/w/x)
Building cloud-based pipelines and data products on Snowflake for B2B payment transaction processing. Proficiency in Azure Data Factory and Python required. Flexible working hours, parent-child offices, and comprehensive health management.
Anforderungen
- Degree in Computer Science, Business Informatics, or comparable qualification
- Expertise in SQL databases and data modeling
- Experience in Snowflake (ideal)
- Experience developing and integrating data products
- Familiarity with Azure Data Factory and Python
- Knowledge of modern cloud technologies, preferably Azure
- Hands‑on experience creating Power BI reports
- Knowledge of CI/CD or container technologies (plus)
- Analytical thinking and effective communication skills
- Teamwork skills and hands-on mentality
- Fluency in English and very good German
- Passion for financial databases and learning
Aufgaben
- Develop and maintain cloud-based data pipelines
- Build Finance data products on Snowflake
- Integrate financial and transactional data sources
- Optimize ETL processes and data quality
- Design DataFlows and DataSets for Finance
- Create and manage Power BI reports
- Collaborate with Product Owners and Data Scientists
- Deliver analytical data products to Business Units
- Manage data governance for Finance products
- Drive development of Finance data solutions
- Modernize the Finance data architecture
- Support migration to cloud and big-data technologies
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
Flexibles Arbeiten
- •60/40 hybrid model
- •Flexible working hours
Familienfreundlichkeit
- •Family-friendly working time models
- •Parent-child offices
Gesundheits- & Fitnessangebote
- •Comprehensive company health management
Firmenfahrrad
- •eBike leasing via Jobrad
Sonstige Vorteile
- •Modern learning environment
Über das Unternehmen
DKV Mobility
Branche
FinancialServices
Beschreibung
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
- DKV Mobility
Senior Data Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRatingen - q.beyond AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg - Computacenter
Data Engineer - Data & AI Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - Galderma Laboratories GmbH
IT Data Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenDüsseldorf - Galderma Laboratories GmbH
IT Data Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenDüsseldorf