Data Engineer

🕒 July 24

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

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Jedox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

☁️ SaaS

💸 Finance

🏢 Enterprise

SaaS • Finance • Enterprise

Jedox is a SaaS company that provides an integrated planning, budgeting, forecasting, and enterprise performance management (EPM) platform for finance and operational teams. It combines no-code/low-code tools, data integration, and AI-driven capabilities (JedoxAI) to automate FP&A processes, enable scenario modeling, financial consolidation, reporting, and real-time insights. Jedox is aimed at enterprise and corporate finance users to improve decision-making, streamline reporting, and drive finance-led digitalization.

📋 Description

• As a Data engineer, you will be responsible for designing, developing and operating our enterprise data platform. • Ensure 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).

🎯 Requirements

• 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 hands-on experience with Spark, Microsoft Fabric, the Azure Data Platform and Delta Lake. • 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.