Fabric Data Engineer (m/f/d)
You build data platforms on Microsoft Fabric: Lakehouse with Direct Lake, migration of BI landscapes and data warehouses, new builds for business units. You work in waves, alongside our customers’ day-to-day business, and in the end hand over a platform the customer team runs itself.
The platform is also the foundation our agents run on. Good data work is the lever for everything else here.
Get started with us at Haavest
You have at least three years of experience in data engineering, are confident in SQL and Python or PySpark, and have built lakehouse platforms, for example on Fabric, Synapse or Databricks. You know your way around semantic models and Power BI.
A certification such as Fabric Analytics Engineer (DP-600) or Fabric Data Engineer (DP-700) is welcome. If you do not have one yet, you will earn it in your first months with us, and we cover the cost.
You translate data models and load processes instead of merely copying them, and decide with operations and cost in mind. You work confidently in German and English and defend your solution in front of the customer as well.
Join our team
Work environment
You work in an agile way with experienced colleagues in data engineering, architecture and AI, and directly with the management. We are owner-managed and have a clear focus: Microsoft Fabric as the data platform and AI agents on top. You get real responsibility instead of micromanagement and short paths instead of a jungle of responsibilities.
Sowing tasks
Foundation and target architecture
You set up Fabric capacity and workspaces as code, build permissions centrally and automate deployments. The standard is the lakehouse with Direct Lake.
Migration in waves
You translate data models and load processes from Synapse, SQL Server data warehouses or other platforms, mirror sources where that is more efficient, and run the old and new worlds in parallel until the numbers match. You reconcile each wave and have the business unit sign it off.
Handover and enablement
You work side by side with the customer’s developers, write the operations manual and accompany go-live until the old platform is switched off.
Harvesting Benefits
Attractive Bonuses
Special achievements should be celebrated: in addition to a fair base salary, we reward the achievement of jointly set goals with appropriate bonus payments.
Flexible Working Hours
Balance is a matter of trust: to help you achieve the best possible work-life balance, we are happy to accommodate your time management needs.
Variable Work Location
You can be productive anywhere: because everyone has their own preferences, we are open to the question of “office, remote, or hybrid.”
Optimal Training
In order to keep up with important developments and keep the team up to date, regular training courses and workshops are a matter of course for us.
Fitness Club Subsidy
Mens sana in corpore sano: In accordance with this Latin principle, we promote your health by offering discounted membership in a fitness club of your choice.
Piero Alessio
managing director
Contact for questions
Would you like to join our team? Then take the first step here—we look forward to receiving your application.
Fabric Data Engineer (m/f/d)
