About the Position

We are seeking a skilled Data Engineer to join our team and work with modern data platforms, focusing on Microsoft Fabric and Azure Data solutions.

Location: Europe

Responsibilities

Design and implement scalable data models within Microsoft Fabric (Lakehouse/Warehouse) to support ingestion, transformation, and analytics scenarios
Develop and maintain robust data pipelines using Fabric Data Factory, Notebooks, and Spark, ensuring data consistency and reliability across multiple sources
Optimize data processing performance through query tuning, partitioning strategies, and efficient use of Fabric compute engines
Implement data security and governance using Microsoft Purview, role-based access control (RBAC), and data sensitivity labeling
Automate data workflows, orchestration, and monitoring within the Fabric ecosystem
Implement and support data migration processes from legacy platforms to Microsoft Fabric
Collaborate with cross-functional teams to solve complex data challenges and troubleshoot platform-related issues

Bachelor's degree in computer science, information technology, or a related field
5+ years of experience in data engineering
2+ years of hands-on experience with Microsoft Fabric, Azure Synapse Analytics, or Azure Data Platform
Strong understanding of Lakehouse architecture, data modeling, and ETL/ELT processes
Experience working with Fabric components (Data Factory, Data Engineering, Data Warehouse)
Solid Python programming skills (PySpark preferred)
Proficiency in SQL and query optimization techniques
Hands-on experience building scalable and reliable data pipelines
Experience with workflow orchestration and scheduling tools (e.g., Fabric pipelines, Apache Airflow)
Familiarity with Microsoft Azure (Data Lake, Azure SQL, Synapse, etc.)
Experience with CI/CD pipelines and DevOps practices (Azure DevOps, GitHub Actions)
Strong understanding of data warehousing concepts, data lakes, distributed processing

Experience leveraging large language models (LLMs) and AI-assisted tools to enhance data engineering workflows, including code generation, pipeline development, and data quality automation
Experience with Microsoft Purview for data governance and cataloging
Familiarity with Delta Lake / OneLake concepts and open table formats
Hands-on experience with Databricks or other Spark-based platforms
Experience with dbt or similar transformation frameworks

Competitive salary
100% remote opportunity
Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval)
Opportunities for professional growth and career advancement
Collaborative and innovative work environment
Paid time off, including holidays, vacation, and sick leave
Benefits may vary by location and will be confirmed during the interview process

Job ID: JR-172830