Why This Job is Featured on The SaaS Jobs
Within the SaaS ecosystem, this Data Engineer role stands out for its focus on building an enterprise data platform that supports both analytics and product-adjacent AI use cases. Jedox operates in Enterprise Performance Management, a category where data quality, governance, and semantic consistency directly shape how customers plan, forecast, and report across functions. The emphasis on Microsoft Fabric and a medallion lakehouse architecture signals a modern cloud data stack aligned with how many B2B SaaS companies are standardising their internal data foundations.
For a long-term SaaS career, the scope offers durable experience in designing and operating shared data infrastructure that multiple teams depend on. Work spanning ingestion from systems like Salesforce and Microsoft 365, data modelling, access control, and lineage builds a strong platform mindset. The AI-readiness component, including vector-ready datasets and RAG-oriented preparation, also reflects a growing expectation for SaaS data teams to enable applied AI while keeping governance intact.
This position suits engineers who prefer end-to-end ownership from architecture through reliability, and who enjoy collaborating with analytics and AI stakeholders. It is a strong match for professionals aiming to deepen expertise in cloud platform engineering, data governance, and production-grade pipelines within a SaaS context.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
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