Senior Data Engineer

SUMMARY:
We are seeking a highly skilled and experienced Data Engineer with a strong focus on Microsoft Fabric and Azure Data Technologies. In this hybrid technical-leadership role, you’ll architect robust data infrastructure, develop scalable data solutions, and lead a small but growing data team. If you're passionate about building modern data platforms and mentoring others, then this is your chance to make a major impact.

POSITION INFO:
🚀 Senior Data Engineer – Microsoft Fabric
Location: Bedfordview (Office-based)
Experience: 5+ years required & leadership role

🔍 Key Responsibilities, Duties, and Tasks:

• Data Engineering & Architecture:
  • Design, build, and maintain scalable, high-performance data pipelines using Microsoft Fabric.
  • Architect and optimize modern data warehouses and lakehouses.
  • Implement robust ETL/ELT processes and ensure efficient data ingestion, transformation, and delivery.
  • Develop business-aligned data models to support analytics and reporting objectives.
  • Maintain data integrity, version control, governance, and security across the ecosystem.
• Reporting & Analytics:
  • Maintain and update Power BI dashboards and reports to align with evolving business needs.
  • Assist with data extraction and run defined SQL queries for operational insights.
  • Perform data validations, reconciliations, and support data documentation efforts.
  • Develop and maintain high-quality semantic models in Power BI (Premium or Embedded is a plus).
• Team & Project Leadership:
  • Build and lead a data team, starting with an existing Analyst and expanding as needed.
  • Translate business requirements into technical solutions and guide architectural decisions.
  • Mentor junior team members, support their development, and cultivate a collaborative culture.
  • Participate in data testing, Agile planning, and stakeholder communication.

• 5+ years’ experience in data engineering, with proven expertise in Microsoft Fabric and the Azure Data stack.
• Solid understanding of analytics, data integration, governance, and reporting.
• Experience in leading or mentoring technical teams.
• Strong business acumen with the ability to work cross-functionally with technical and non-technical teams.

• Strong expertise in Azure Data Services (Azure Synapse, Data Factory, Databricks, Azure SQL, etc.)
• Proven experience with Microsoft Fabric capabilities: Pipelines, Lakehouse, and Warehouse
• Proficiency in T-SQL (stored procedures/functions) and PySpark/Spark SQL in Microsoft Fabric or Azure Databricks
• Advanced experience in ETL/ELT design, performance optimization, and data transformation
• Experience designing star schema based data models and building scalable analytics solutions
• Strong background in data governance, compliance, and security best practices
• Hands-on experience developing semantic models (datasets) in Power BI, including Premium or Embedded
• Familiarity with Azure DevOps, GitHub, and use of Power BI Deployment Pipelines for CI/CD

• One of the following Microsoft Certifications:
  
  • Azure Data Engineer Associate (DP-203)
  • Fabric Analytics Engineer Associate (DP-600)
  • Fabric Data Engineer Associate (DP-700)
• Experience with machine learning models or AI-driven analytics
• Background in financial services, sales optimization, or regulatory reporting