We are seeking an experienced Senior Data Engineer to join our team on a contract basis. The candidate will architect and implement enterprise-scale data solutions using Microsoft Fabric, develop sophisticated Power BI reports, and leverage conversational reporting and AI tools to enhance data accessibility across the organization. This role requires deep expertise in cloud data platforms and a passion for democratizing data through innovative reporting solutions.
Design, build, and optimize data pipelines and ELT processes using Azure Fabric (Pipeline, Notebooks, Lakehouses)
Architect scalable ELT solutions to support enterprise data lake and semantic layer
Develop advanced Power BI reports and dashboards with complex data modeling and DAX calculations
Implement conversational reporting solutions using AI tools to enable natural language querying of business data
Optimize data ingestion, transformation, and refresh cycles for performance and cost-efficiency
Collaborate with data analysts, business stakeholders, and other engineers to translate requirements into technical solutions
Implement data governance, security, and quality standards across the data platform
Mentor junior team members and establish best practices for data engineering
Monitor, troubleshoot, and optimize existing data systems and reports
4 to 6 years of professional data engineering experience
Expert-level experience with Azure Fabric ecosystem (Azure Synapse Analytics, Azure Data Lake Storage, Data Factory)
Advanced Power BI development skills including complex data modeling, DAX, and report design best practices
Strong proficiency in SQL and PySpark optimization
Experience with conversational AI/reporting tools (such as Copilot, generative BI, or similar AI-powered analytics solutions)
Proven ability to architect enterprise-scale data solutions
Strong understanding of cloud infrastructure, security, and governance
Excellent problem-solving and communication skills
Bachelor’s degree in computer science, Data Engineering, or related field (or equivalent professional experience)
Experience with Microsoft Fabric (OneLake, Real-Time Analytics)
Hands-on experience implementing AI-powered conversational analytics solutions
Certification in Azure Data Engineer, Azure Solutions Architect, or equivalent. DP-700 / AZ-900 preferred
Experience with PySpark or other programming languages for data processing
Background in performance tuning and optimization of large-scale data systems
Azure Services: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Database
Microsoft Fabric: Lakehouses,PySpark, Data Pipelines
Power BI: Report Development, Data Modeling, DAX
Conversational Reporting & AI: Copilot-enabled analytics, AI-powered insights
Languages & Technologies: T-SQL, Python (PySpark), GitHub Actions (YAML), Parquet, Delta Lake
Data Integration: Azure Data Factory, REST APIs
Version Control & CI/CD: Git, GitHub
