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Senior data engineer - microsoft fabric (all genders)

Stuttgart
ALLPLAN Schweiz AG
Data Engineer
Inserat online seit: 23 Juni
Beschreibung

SENIOR DATA ENGINEER - MICROSOFT FABRIC (All Genders)

1. ALLPLAN GmbH
2. Dresden
3. München
4. Stuttgart
5. Präsenz / Mobil
6. Vollzeit

YOUR FUTURE WITH ALLPLAN

About ALLPLAN

ALLPLAN is a global provider of AEC software with BIM solutions for architecture, structural engineering, detailing, fabrication and construction. True to our “design to build” claim, we provide tools that enable earlier data-driven design decisions, support digital fabrication and leverage information throughout the entire construction process. Integrated cloud technology further optimizes interdisciplinary collaboration on building and infrastructure projects. Our innovative workflows empower architects, engineers, and construction professionals to deliver their projects more productively, safely, and eco-consciously.

Around the world, over 700 dedicated employees continue to write the ALLPLAN success story. Headquartered in Munich, Germany, ALLPLAN is part of the Nemetschek Group – a pioneer for digital transformation in the construction sector.


Start your career at ALLPLAN now!

ABOUT YOUR ROLE

As a Senior Data Engineer, you’ll design, build, and maintain robust data pipelines and semantic models on Microsoft Fabric. You’ll extract, transform, and model data from enterprise systems (Dynamics, NetSuite, Salesforce, HubSpot, Matomo, etc.) to support advanced analytics and Power BI reporting. Your role ensures data accuracy, reliability, and performance for organization-wide decision-making.

Key Responsibilities

7. Develop and maintain scalable data integration pipelines using Microsoft Fabric (Data Factory, Synapse, OneLake).
8. Modernize and optimize ETL/ELT processes for cloud-native Fabric solutions.
9. Build semantic models in Power BI with DAX and Power Query, and manage medallion architecture in Fabric lakehouses.
10. Ensure data quality, security, and compliance (, GDPR, HIPAA) using Microsoft Purview.
11. Collaborate with BI developers, analysts, and business teams to align data models and support reporting needs.
12. Support migration of on-premises data systems to Microsoft Fabric/Azure cloud.
13. Monitor and optimize performance of data pipelines and Power BI datasets.

YOUR PROFILE

COMPETENCE MEETS CHARACTER

14. Bachelor’s or master’s degree in Computer Science, Data Science, or a related field, or comparable professional experience (5–10 years)
15. In-depth knowledge of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and other relevant Azure data solutions
16. Strong experience with SQL and at least one programming language such as Python or Scala for data processing
17. Solid understanding of database design and data modeling, especially in connection with cloud technologies and Microsoft Fabric
18. Familiarity with data integration patterns, data lake architectures, and cloud-based data processing
19. Experience using Power BI to visualize and interpret data, and to facilitate collaboration with business teams
20. Excellent problem-solving, communication, and stakeholder management skills.
21. Very good written and spoken English and German skills.

WE OFFER YOU

22. Flexible working hours, mobile working
23. Employee benefits programme, regular events, special leave
24. Free parking space and good public transport connections (for the HQ in Munich)
25. Meal allowance for canteen and free drinks and fruit
26. Modern working environment with excellent opportunities for further development

YOU AND US

You excel in agile settings, consult with stakeholders, and focus on delivering user value?
You can explain technical data concepts to non-technical audiences?
You love building robust data solutions and working across teams?

Then join us as our next Senior Data Engineer!

YOU FEEL APPEALED?
We look forward to receiving your application - including your CV, references, earliest possible start date, and salary expectation

27. Valeria Kipp
28. Director People & Culture
29. +49 (0)89 92793 1124

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