Senior Power BI/Fabric Insights Engineer, IT

Power BI & Semantic Modeling 

• Architect and maintain complex Power BI semantic models, datasets, and enterprise-grade reporting solutions that are performant, reusable, and aligned to business KPIs. 

• Build advanced DAX measures and reusable calculation patterns, and apply proven data-modeling methodologies (star schema, snowflake, Kimball, Inmon). 

• Implement row-level and object-level security (RLS/OLS) and workspace governance to ensure secure, scalable, and well-managed access. 

• Develop, enhance, and optimize reports and dashboards for usability, visual clarity, accessibility, and performance, partnering with stakeholders to refine requirements and user-centric design. 

Data Engineering & Microsoft Fabric 

• Engineer curated, analytics-ready datasets by building and maintaining SQL-based ELT/ETL pipelines and transformation logic across Snowflake, Microsoft Fabric (Lakehouse/Delta, Warehouse, Dataflows Gen2, Data Factory, Spark/Notebooks), and Azure Data Factory. 

• Write Python / PySpark and SQL for transformation, orchestration, automation, and data-quality enforcement, ensuring reconciliation, auditability, and compliance for enterprise and regulatory reporting. 

• Partner closely with the Data Engineering and Data Operations teams to shift data preparation upstream into the lakehouse, reducing report-level complexity and improving trust and reuse. 

• Create and maintain test scripts and automated validation routines for pipelines, datasets, and BI logic. 

Next-Generation Insights & Data Agents 

• Help evolve Insights Engineering from static reporting toward conversational analytics – enabling users to interact with governed data in natural language through Copilot, Q&A, and emerging data-agent experiences. 

• Prepare and curate the semantic layer, metadata, and business definitions that make data agents accurate and trustworthy, including well-described models, synonyms, and certified datasets. 

• Prototype and operationalize AI-assisted capabilities within Power BI / Fabric (e.g., Copilot workflows, AI visuals, ML-assisted data quality) where they deliver real, measurable value. 

• Contribute to standards and guardrails that keep AI- and agent-generated insights explainable, governed, and aligned with enterprise data policy. 

Technical Leadership & Delivery 

• Engineer solutions using application development tools – build software, ETL, and analytics code that is reliable, maintainable, and aligned to standards. 

• Lead feasibility and requirements analysis – evaluate problem definitions, requirements, and proposed solutions to determine the best course of action. 

• Determine and lead the design of system specifications, standards, and programming – for BI, semantic, and data-engineering deliverables. 

• Document and demonstrate solutions – through documentation, flowcharts, layouts, diagrams, code comments, and clear code on complex issues. 

• Improve operations – by conducting systems analysis and recommending changes and alternative solutions in policies and procedures. 

• Mentor and guide – lead project teams through best practices in development, mentor other engineers, and ensure deliverables are consistent with architecture, quality, and security policies. 

• Keep abreast of innovation – by studying state-of-the-art development tools, techniques, and platforms, and participating in professional and educational opportunities

What you'll need (Required):

• Bachelor’s Degree or equivalent in a related field.

What else we look for: