Data Engineer (m/f/d)

Responsibilities Design and own the enterprise data platform: Build a scalable Microsoft Fabric data infrastructure using a medallion lakehouse architecture (Bronze, Silver or Gold) with Delta Lake. Develop and operate data pipelines: Create robust batch and streaming ETL/ELT pipelines with schema evolution, automated transformation and strong data quality validation. Integrate enterprise systems: Connect to data sources such as SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories and REST APIs. Ensure performance and reliability: Optimize storage and processing across structured and unstructured data, including monitoring, alerting, and operational stability. Build semantic data layers & governance: Establish a taxonomy and metadata standards, as well as semantic models and data cataloguing and lineage tracking. Enforce access control, compliance and security. Drive AI readiness: Prepare data for AI use cases through document chunking, embedding pipelines, and vector‑ready datasets for RAG. Expose knowledge services & collaborate: Develop reusable APIs and data services for AI applications and work cross‑functionally with AI, analytics, and business teams (OneTeam). Qualifications 7+ years in data engineering, including 3+ years building enterprise‑scale cloud platforms, with proven greenfield architecture and AI/ML data preparation experience. Expertise in Python and SQL, and I have hands‑on experience with Spark, Microsoft Fabric, the Azure Data Platform and Delta Lake. I am also experienced in ETL/ELT, data modelling and warehousing. Experience integrating enterprise systems (e.g., Salesforce, SharePoint, M365, Azure SQL/Data Lake) and working with REST APIs and modern data architectures. Solid understanding of metadata management, master data management, and semantic modelling. Certifications in Azure/Fabric and experience with Purview, Synapse, Data Mesh, graph/vector databases, Azure AI Search, or event streaming. Growth‑oriented, proactive and driven by innovation, execution excellence and building impactful, scalable data solutions. Excellent English communication skills are required. Benefits Flexible work: we love to work together in the offices as OneTeam, but we also enjoy the possibility of working from everywhere and owning working hours. Take time to care for yourself: We offer generous vacation time and comprehensive health benefits plans, including Pension plans. Plan for your future: Planning means something different to everyone. Work with your Line Manager to implement a career growth plan that suits your path. Reduce your footprint: All offices are centrally located and can be easily reached via public transportation. Most Jedox offices offer public transit reimbursement or other perks like bike leasing. High‑impact working environment: we enjoy flat hierarchies and short decision‑making processes. Get corporate discounts across many brands and products. Jedox is committed to creating an inclusive workplace and does not discriminate based on color, religion or belief, nationality, social or ethnic origin, age, gender, sexual orientation, or any other status protected by the laws and regulations in the geographic locations in which we operate. #J-18808-Ljbffr Jedox