Dein persönlicher KI-Karriere-Agent
Designing scalable Microsoft Fabric data infrastructure with batch and streaming ETL/ELT pipelines. 7+ years data engineering experience, including greenfield architecture, required. Python expertise, AI/ML data prep, and cloud platform building.
Deine Match-Analyse
Warum dieser Job zu dir passt
Mögliche Lücken
Tipps für deine Bewerbung
Anforderungen
- 7+ years data engineering experience
- 3+ years building enterprise-scale cloud platforms
- Proven greenfield architecture experience
- AI/ML data preparation experience
- Expertise in Python
- Expertise in SQL
- Hands-on experience with Spark
- Hands-on experience with Microsoft Fabric
- Hands-on experience with Azure Data Platform
- Hands-on experience with Delta Lake
- Experience in ETL/ELT
- Experience in data modelling
- Experience in data warehousing
- Experience integrating enterprise systems
- Experience working with REST APIs
- Experience with modern data architectures
- Solid understanding of metadata management
- Solid understanding of master data management
- Solid understanding of semantic modelling
- Certifications in Azure/Fabric
- Experience with Purview
- Experience with Synapse
- Experience with Data Mesh
- Experience with graph/vector databases
- Experience with Azure AI Search
- Experience with event streaming
- Growth-oriented mindset
- Proactive approach
- Driven by innovation
- Execution excellence
- Building impactful, scalable data solutions
- Excellent English communication skills
Aufgaben
- Design scalable Microsoft Fabric data infrastructure
- Develop robust batch and streaming ETL/ELT pipelines
- Integrate data from SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories, and REST APIs
- Optimize storage and processing for structured and unstructured data
- Monitor and ensure operational stability
- Establish taxonomy and metadata standards
- Create semantic models and data cataloging
- Track data lineage and enforce access control
- Ensure compliance and data security
- Prepare data for AI use cases
- Implement document chunking and embedding pipelines
- Create vector-ready datasets for RAG
- Develop reusable APIs and data services
- Collaborate with AI, analytics, and business teams
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Jedox GmbH 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.
Zur Originalanzeige bei Jedox GmbHÜber das Unternehmen
Jedox is a leading software solution that enables business planning, budgeting, and forecasting for finance, sales, and other business functions.
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
Noch nicht perfekt?
- Kramer & Crew GmbH & Co. KGSenior Data Engineer(m/w/x)Vollzeitmit HomeofficeSeniorKöln, Bedburg, Bergkirchen, Essen, Frankfurt am Main, Hamburg, Leipzig
- SogetiSenior Cloud Data Engineer(m/w/x)Vollzeitmit HomeofficeSeniorDüsseldorf, München, Hamburg, Frankfurt am Main, Stuttgart
- Alexander Thamm GmbHPrincipal Data Engineer(m/w/x)VollzeitRemoteSeniorMünchen, Frankfurt am Main, Berlin, Leipzig, Stuttgart, Essen, Nürnberg
- CapgeminiSenior Data & AI Engineer(m/w/x)Vollzeitmit HomeofficeSeniorBerlin, Hannover, München, Hamburg, Düsseldorf, Nürnberg, Frankfurt am Main, Köln, Stuttgart, Erfurt
- Jedox GmbHAI Platform Engineer(m/w/x)Vollzeitmit HomeofficeSeniorFrankfurt am Main, Freiburg im Breisgau