Overview
As a Data Engineer at Jedox, you will design, build, and operate the enterprise data platform and data pipelines to enable AI-enabled insights across the business. You will implement a medallion lakehouse on Microsoft Fabric with Delta Lake, connect multiple data sources, and ensure governance, security, and performance. You will drive AI readiness and create reusable data services for cross-functional teams #OneTeam. This role offers impact through shaping Jedox’s data backbone for intelligent applications and planning capabilities.
Leistungen / Benefits
- Flexible work
- Generous vacation time
- Comprehensive health benefits including Pension plans
- Career growth plan
- Public transit reimbursement
- Flat hierarchies and quick decision-making
Verantwortungsbereiche
- Design, develop, and operate the enterprise data platform
- Build scalable Microsoft Fabric data infrastructure with a medallion lakehouse architecture (Bronze, Silver, Gold) using Delta Lake
- Develop and operate batch and streaming ETL/ELT pipelines with schema evolution and data quality checks
- Integrate data sources such as Salesforce, SharePoint, Microsoft 365, Azure SQL, ERP/CRM systems, files, and REST APIs
- Optimize storage and processing for structured and unstructured data with monitoring and reliability
- Establish taxonomy, metadata standards, semantic models, data cataloging, and lineage tracking; enforce access control and security
- Prepare data for AI use cases with document chunking, embedding pipelines, and vector-ready datasets for RAG
- Expose knowledge services and collaborate cross-functionally to provide APIs and data services for AI applications
Zentrale Anforderungen
- 7+ years in data engineering with 3+ years building enterprise-scale cloud platforms and AI/ML data prep experience
- Proficiency in Python and SQL; hands-on experience with Spark, Microsoft Fabric, Azure Data Platform and Delta Lake
- Experience ETL/ELT, data modeling and data warehousing
- Experience integrating enterprise systems (Salesforce, SharePoint, M365, Azure SQL/Data Lake) and working with REST APIs
- Solid understanding of metadata management, master data management, and semantic modeling
- Certifications in Azure/Fabric; experience with Purview, Synapse, Data Mesh, graph/vector databases, Azure AI Search, or event streaming
- Growth-oriented, proactive, and focused on building scalable data solutions; strong English communication
- growth-minded
- proactive
- innovation-driven
- Python
- SQL
- Spark
Data Engineer (m/f/d) in Wiesbaden Arbeitgeber: jedox
Jedox ist ein hervorragender Arbeitgeber, der eine dynamische und innovative Arbeitsumgebung bietet, in der Mitarbeiter die Möglichkeit haben, ihre Fähigkeiten in einem internationalen Team weiterzuentwickeln. Mit flexiblen Arbeitszeiten, großzügigen Urlaubstagen und umfassenden Gesundheitsleistungen fördert Jedox das Wohlbefinden seiner Mitarbeiter und unterstützt deren berufliches Wachstum. Die Unternehmenskultur basiert auf Zusammenarbeit, Transparenz und einer starken Ausrichtung auf die Bedürfnisse der Kunden, was zu einem erfüllenden und sinnvollen Arbeitsumfeld führt.
