Job (Project) Description:
We are looking for 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
Requirements:
- 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
Nice to have:
- 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
Other skills:
- English – Excellent written and verbal communication skills
- Ability to work in a global, multi-cultural, multi-national environment
- Strong communication and stakeholder management skills
- Ability to engage with both technical and business audiences
- Proven ability to work independently and as part of an international team
What We Offer:
- 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
Originally posted on