Data Engineer (m/f/d)

Das ist der Job

What is Jedox?

Darum lohnt es sich

Expose knowledge services & collaborate: Develop reusable APIs and data services for AI applications and work cross‑functionally with AI, analytics, and business teams (#OneTeam). Experience integrating enterprise systems (e.g., Salesforce, SharePoint, M365, Azure SQL/Data Lake) and working with REST APIs and modern data architectures.

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. Your Responsibilities 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.

Your Profile 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. 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. #J-18808-Ljbffr