Overview:
We are seeking a Senior Analytics Engineer to design, build, and scale enterprise-grade analytics solutions leveraging Microsoft Fabric and Power BI. This role bridges data engineering, semantic modeling, and business intelligence, transforming fragmented reporting environments into robust, automated, and scalable analytics platforms. You will play a key role in enabling Finance and executive reporting, ensuring data quality, performance, and governance at scale, while driving the adoption of modern DevOps-driven analytics practices.
Key Responsibilities:
Analytics Platform & DevOps:
- Design and maintain Fabric deployment pipelines across Dev, UAT, and Production environments
- Implement CI/CD practices using Git (Azure DevOps or GitHub)
- Automate environment parameterization (data sources, Lakehouses, endpoints)
- Define and enforce development standards, governance, and documentation
Data Engineering (Microsoft Fabric):
- Architect scalable data platforms using Medallion architecture (Bronze / Silver / Gold)
- Build and orchestrate data ingestion pipelines (Data Factory, Dataflows Gen2)
- Develop transformations using PySpark, SQL, and Power Query
- Integrate data from enterprise systems (e.g., SAP, Azure SQL, APIs, Snowflake)
Semantic Modeling & Power BI:
- Design enterprise semantic models using star schema principles
- Develop and optimize complex DAX calculations for financial and analytical use cases
- Implement high-performance architectures (e.g., Direct Lake, optimized import models)
- Utilize advanced tools (Tabular Editor, DAX Studio, ALM Toolkit) for model governance
Performance, Security & User Experience:
- Implement Row-Level Security (RLS) and data access frameworks
- Optimize end-to-end performance across datasets and reports
- Deliver executive-grade dashboards with strong UX and data storytelling principles
- Ensure high standards of data quality, reliability, and usability
Required Skills & Experience
Technical Expertise:
- Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2)
- Advanced Power BI & DAX modeling expertise
- Proficiency in SQL, Power Query (M), and PySpark/Python
- Experience with Git-based version control and CI/CD processes
Requirements:
- 6+ years in Business Intelligence / Data Engineering / Analytics
- 5+ years working with Power BI (including data modeling)
- Hands-on experience with modern cloud data platforms (Fabric/Azure)
- Microsoft Certification (e.g., DP-600 Fabric Analytics Engineer)
- Experience in Finance, FP&A, or regulated environments
Key Competencies
- Strong architectural mindset with focus on scalability and governance
- Ability to translate business needs into data solutions
- Autonomous, proactive, and comfortable working with senior stakeholders
- Focus on quality, performance, and continuous improvement
