TL;DR

Principal Data Engineer (Data Science/ML): Architecting and implementing end-to-end data solutions using Microsoft Fabric with an accent on data ingestion, transformation, and modeling strategies. Focus on building scalable ETL/ELT pipelines, optimizing Lakehouse performance, and leading technical teams to establish best practices.

Location: Service region includes Germany, France, and Switzerland

Company

%hirify_global% is a digital product engineering company with over 18,000 experts across 39 countries, focused on building inspiring products, services, and experiences at scale.

What you will do

Architect and implement end-to-end data solutions using Microsoft Fabric.
Define data ingestion, transformation, and modeling strategy using Lakehouse/Warehouse.
Build scalable ETL/ELT pipelines using Data Factory, Spark, and Dataflows Gen2.
Design enterprise semantic models and govern Power BI datasets.
Implement security, governance, and compliance frameworks.
Lead technical teams and establish best practices for Fabric usage.

Requirements

Minimum 8+ years of experience in data engineering roles
Strong expertise in data modeling and ETL/ELT principles
Hands-on experience with Microsoft Fabric components and architecture
Service region: Germany, France, Switzerland

Nice to have

Strong knowledge of enterprise architecture governance frameworks (EA Governance).
Familiarity with OneLake storage and optimization strategies.