# Data Engineer (m/f/d) at Jedox

> Open job at Jedox. Workplace: Remote (Germany).

Source: Germany Dev Jobs, https://germanydevjobs.com/jobs/jedox-data-engineer-m-f-d-bknw98a
Posted 6 July 2026. Last checked on the employer's career site: 10 November 2026.

## Facts

- Company: [Jedox](https://germanydevjobs.com/companies/jedox)
- Location: Remote (Germany)
- Workplace: Remote (Germany)
- Employment type: Full-time
- German: Not required
- English: Fluent
- Skills: Azure, Python, SQL, Salesforce, SharePoint, Spark
- Not mentioned in the job post: salary, visa sponsorship, relocation, where you can apply from

## Job description

#### What is Jedox?

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.
- **Expose knowledge services & collaborate:** Develop reusable APIs and data services for AI applications and work cross-functionally with AI, analytics, and business teams (#OneTeam).

#### 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.
- 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

#### Transparency Note: Use of Artificial Intelligence

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). Here you will find information about the [data protection guidelines](https://www.hipeople.io/de/datenschutz-sicherheit) as well as the most recent [security checks.](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.

## How to apply

Apply on the job page, https://germanydevjobs.com/jobs/jedox-data-engineer-m-f-d-bknw98a: its Apply button opens the employer's own application page.