Data Engineer (Azure + SQL)

We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives using a modern Microsoft data stack. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making through Azure Data Factory, Microsoft Fabric, Power BI, SQL, and Python.

 

Role & Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python.
• Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms.
• Work with Microsoft Fabric to support modern analytics and data engineering workflows.
• Develop and maintain data models and transformation logic to support reporting and analytics needs.
• Collaborate with analysts, business stakeholders, and technical teams to translate business requirements into technical solutions.
• Support Power BI reporting needs by enabling clean, reliable, and well-structured datasets.
• Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers.
• Monitor and optimize workflows for reliability, scalability, and maintainability.
• Contribute to CI/CD, deployment, and operational best practices within the Microsoft ecosystem.
• Support data governance, documentation, and process improvement efforts.

• Experience with Microsoft Fabric workloads such as Data Factory, Lakehouse, Warehouse, or Dataflows.
• Experience with Power BI development, dashboarding, or performance tuning.
• Familiarity with data modeling concepts for analytics and reporting.
• Experience with CI/CD and DevOps practices in Azure-based environments.
• Exposure to data governance, security, and access management in Microsoft data platforms.
• Experience working in consulting environments or with distributed cross-functional teams.

• Strong analytical and problem-solving skills.
• Ability to work effectively in cross-functional and distributed teams.
• Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Proactive mindset with a strong sense of ownership.
• Commitment to delivering high-quality, reliable data solutions.