Die KI-Suchmaschine für Jobs
Data Engineer(m/w/x)
Beschreibung
You will bridge the gap between raw data and business insights by building reliable Azure pipelines and creating tailored analytical models to support the company's front office teams.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Master degree in Computer Science, Data Engineering, or related field
- •Significant experience with Pyspark and Azure
- •Proficiency in Python for data processing
- •Knowledge of SQL and NoSQL databases
- •Solid knowledge of data modeling
- •Distributed data processing skills
- •Strong analytical and problem-solving skills
- •Ability to work in collaborative environments
- •French and English fluency
Ausbildung
Aufgaben
- •Design and develop robust ETL/ELT pipelines
- •Maintain efficient pipelines using PySpark and Azure Data Factory
- •Collaborate with front office teams on data requirements
- •Propose suitable solutions for business data needs
- •Produce Python and SQL analyses and simple models
- •Ensure data quality through rigorous testing and validation
- •Implement best practices for data management and security
- •Automate data collection and transformation processes
Tools & Technologien
Sprachen
Französisch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Weiterbildungsangebote
- •Continuous learning and growth
Flexibles Arbeiten
- •Hybrid working
- •Flexible work-life balance
Lockere Unternehmenskultur
- •Diverse and inclusive teams
Boni & Prämien
- •Employee referral bonus
Attraktive Vergütung
- •Company shares program
Gesundheits- & Fitnessangebote
- •Annual fitness subscription contribution
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Jobs in der Nähe entdecken
Data Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You will bridge the gap between raw data and business insights by building reliable Azure pipelines and creating tailored analytical models to support the company's front office teams.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Master degree in Computer Science, Data Engineering, or related field
- •Significant experience with Pyspark and Azure
- •Proficiency in Python for data processing
- •Knowledge of SQL and NoSQL databases
- •Solid knowledge of data modeling
- •Distributed data processing skills
- •Strong analytical and problem-solving skills
- •Ability to work in collaborative environments
- •French and English fluency
Ausbildung
Aufgaben
- •Design and develop robust ETL/ELT pipelines
- •Maintain efficient pipelines using PySpark and Azure Data Factory
- •Collaborate with front office teams on data requirements
- •Propose suitable solutions for business data needs
- •Produce Python and SQL analyses and simple models
- •Ensure data quality through rigorous testing and validation
- •Implement best practices for data management and security
- •Automate data collection and transformation processes
Tools & Technologien
Sprachen
Französisch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Weiterbildungsangebote
- •Continuous learning and growth
Flexibles Arbeiten
- •Hybrid working
- •Flexible work-life balance
Lockere Unternehmenskultur
- •Diverse and inclusive teams
Boni & Prämien
- •Employee referral bonus
Attraktive Vergütung
- •Company shares program
Gesundheits- & Fitnessangebote
- •Annual fitness subscription contribution
Über das Unternehmen
Capgemini
Branche
Consulting
Beschreibung
Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen, der bei der digitalen und nachhaltigen Transformation unterstützt.
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