Data Engineer

At Jedox, we help businesses plan for a better future. Our Enterprise Performance Management (EPM) software empowers finance, sales, and other departments to budget, forecast, and analyze data—all in one intuitive platform. We’re on a mission to turn complex planning into #Superplännen: that amazing moment when everything goes exactly as you envisioned it. As a Data engineer, you will be responsible for designing, developing and operating our enterprise data platform. Your role will involve ensuring that data is integrated, governed and AI-ready, thereby creating the backbone for all intelligent applications and insights across the business. * **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). * 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 As a tech-driven company, Jedox uses modern technologies — including AI — to continuously improve our processes. In recruiting, AI may support us in screening and structuring applications. It does not replace human judgment, but helps us reduce bias and ensure a consistent candidate experience. Your application is always reviewed by real people.   If you would like to learn more about the process, please visit the website of our partner [Hi People](https://www.hipeople.io/de/erfolgsgeschichten-copy "https://www.hipeople.io/de/erfolgsgeschichten-copy"). Here you will find information about the [data protection guidelines](https://www.hipeople.io/de/datenschutz-sicherheit "https://www.hipeople.io/de/datenschutz-sicherheit") as well as the most recent [security checks.](https://trust.warden-ai.com/hipeople/ai-application-screening "https://trust.warden-ai.com/hipeople/ai-application-screening") This gives you complete clarity on how your data is protected and processed. Of course, you can also contact us at any time if you have any questions.