Senior Data Engineer

About the role

The Senior Data Engineer is responsible for designing, developing, and optimizing scalable data solutions on the Microsoft Fabric platform. This role leads the development of data pipelines, Lakehouse architectures, and data integration frameworks to support enterprise analytics, reporting, and AI initiatives.

Key responsibilities

• Design, develop, and maintain scalable, secure, and high‑performance data pipelines using Microsoft Fabric, Azure Data Factory, Spark Notebooks, and Lakehouse architectures.
• Lead integration of structured and unstructured data from enterprise applications, databases, APIs, cloud services, and third‑party systems into OneLake.
• Architect and implement Medallion (Bronze, Silver, Gold) data models and transformation frameworks to support analytics and reporting.
• Drive data migration and modernization from legacy platforms to Microsoft Fabric while ensuring data quality and governance.
• Optimize Fabric workloads, Spark processing, warehouse queries, and storage utilization for performance and cost efficiency.
• Collaborate with Data Architects, BI Developers, Business Analysts, and stakeholders to translate requirements into scalable solutions.
• Develop reusable frameworks, accelerators, and automation to improve engineering productivity.
• Monitor and troubleshoot production pipelines, addressing performance, reliability, and scalability issues.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
• 5+ years of experience in data engineering, data integration, or data platform development.
• At least 2+ years of hands‑on experience with Microsoft Fabric, Azure Data Services, or equivalent cloud data platforms.

Required skills

• Microsoft Fabric
• Azure Data Factory
• Apache Spark
• Lakehouse architecture
• OneLake
• DevOps practices
• CI/CD pipelines
• Infrastructure as Code