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.

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.

Data Engineer

Key skills