Senior Analyst – Data Engineering

Role Overview

Drive the development of scalable data engineering and analytics solutions using Microsoft Fabric, Azure Synapse, Azure Data Factory, and Power BI. The role focuses on building reliable data pipelines, transforming and integrating data, developing analytical datasets, and enabling business reporting and analytics.

What You Will Do

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) for data ingestion, transformation, cleansing, validation, and integration. Develop and optimize notebook-based data engineering solutions using Microsoft Fabric and/or Azure Synapse, leveraging PySpark, Python, and SQL. Work with structured and semi-structured data to build reliable analytical datasets and data models supporting reporting and business analytics.

Why It Might Be a Fit

The ideal candidate will have strong hands-on experience across modern Azure data platforms and the ability to work closely with BI, data science, and business teams. Strong analytical, problem-solving, communication, and stakeholder management skills are required.

Requirements

• 5+ years of hands-on experience in Data Engineering or a related role
• Strong experience developing Fabric/Synapse notebooks using PySpark, Python, and/or SQL
• Hands-on expertise in ADF pipeline development, data ingestion, transformation, orchestration, and integration
• Strong knowledge of Power BI and DAX, including developing and optimizing measures and calculated columns
• Strong SQL skills with experience working with relational databases and data warehouses
• Experience troubleshooting data pipeline failures, data quality issues, and performance bottlenecks
• Strong analytical, problem-solving, communication, and stakeholder management skills