Fabric Data Engineer

At Derevo, we empower companies and people by unlocking the value of our clients’ data and enhancing the talent of those who transform it. 
With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. 

We are looking for a Senior Fabric Data Engineer  to design, build, and optimize enterprise-grade data solutions using Microsoft Fabric.

The ideal candidate brings strong expertise across Lakehouse architecture, Data Engineering, Data Factory Pipelines, Real-time Analytics, SQL, and Power BI, with proven experience modernizing data platforms and delivering scalable, governed analytics solutions. 

Core Technical Stack

🚀 Expert / Strong command

7–10+ years of experience in Data Engineering.

Strong hands-on experience with Microsoft Fabric, including at least one production implementation.

Data Engineering & Lakehouse Development: Design and development of Lakehouse architectures using Microsoft Fabric, including OneLake, Delta tables, and Medallion architecture. 

Data Integration & Orchestration: Development of Dataflows Gen2, Notebooks (PySpark / SQL), and Pipelines for data ingestion, transformation, and orchestration. 

ETL / ELT Pipelines: Implementation of end-to-end data pipelines using Data Factory (Fabric), Spark notebooks, and streaming workloads. 

Languages: SQL (Advanced/Expert) and PySpark / Spark SQL. 

Architecture Design: Design of high-performance data pipelines for batch and real-time workloads. 📡

🛠️ Hands-on / Practical experience

Analytics & Semantic Modeling: Development of semantic models and governed datasets to support enterprise analytics. 

Power BI Integration: Collaboration with Power BI developers to design DAX measures, relationships, and optimized data models. 

CI/CD & DevOps: Implementation of Git integration and deployment pipelines for Fabric workloads. 

✨ Nice to have

Real-Time Analytics: Experience with Eventstream, Real-Time Hub, or KQL. 

Data Governance: Experience implementing data governance frameworks, lineage, cataloging, and metadata management using tools such as Purview. 

Key Professional Competencies

Advanced English (required).

 Strong collaboration

Experience working with cross-functional teams, including Data Scientists, BI Engineers, Domain Owners, and Business Stakeholders.

 Leadership & Mentorship

Ability to mentor junior engineers and contribute to engineering best practices.

 Data Platform Modernization

Experience supporting modern data platform initiatives and contributing to Centers of Excellence, reusable frameworks, and architectural standards.

 Nice to have

Experience with the Azure Data Platform ecosystem (ADLS, Azure Data Factory, Synapse, Databricks). 

Familiarity with Agile delivery environments and product-oriented data teams. 

Exposure to Machine Learning pipelines or ML integration patterns. 

Your benefits with Derevo

💚 WELLNESS: We promote personal, professional, and financial well-being.

🚀 LET’S RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains.

💡 WE CREATE NEW THINGS
Freedom and support to design innovative data solutions.

🌎 WE GROW TOGETHER
Participation in cutting-edge, multinational technology projects with diverse teams.

🏡 Where will you do it?

Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). 🏙️💻

If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. 📩

✨ Become a Derevian and develop your superpower ⚡