JR-172830 Data Engineer Senior

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