Principal BI Engineer

Role overview

What you'll do

• Architect, build, and improve dashboards, semantic models, data transformations, embedded analytics, and reusable reporting assets.
• Design scalable Power BI semantic layers using dimensional modeling, governed metrics, reusable business logic, and performance-conscious practices.
• Build reporting logic with SQL, DAX, Power Query, views, stored procedures, and cloud-based data-processing patterns.
• Work across Azure, Azure Synapse, Power BI, AWS, and related platforms to deliver secure and scalable reporting solutions.
• Establish standards for source control, testing, documentation, releases, monitoring, and production readiness.
• Improve reliability through validation, reconciliation, refresh monitoring, regression testing, and operational runbooks.
• Partner with Product, Engineering, Data Engineering, Security, QA, and business teams on analytics solutions.
• Mentor engineers and analysts through design reviews, reference implementations, and practical enablement.

What you'll need

• At least 8 years of experience in reporting, BI, analytics engineering, enterprise data, or cloud data platform solutions.
• Deep hands-on Power BI experience, including Desktop, Service, DAX, Power Query, semantic models, refresh management, security, and performance optimization.
• Experience with Azure, Azure Synapse, Power BI, AWS, and modern cloud-based data environments.
• Strong SQL skills for complex queries, views, stored procedures, transformations, and reconciliation logic.
• Strong understanding of dimensional modeling, star schemas, semantic-layer design, data warehousing, lakehouse concepts, and governed metrics.
• Experience building dashboards, paginated reports, embedded analytics, shared semantic models, or customer-specific reporting solutions.
• Familiarity with Git-based source control, peer review, CI/CD, automated deployments, and environment management.
• Ability to troubleshoot production issues involving accuracy, refresh failures, business logic, security, performance, or platform capacity.

Preferred experience

• Experience with Databricks or similar lakehouse platforms.
• Experience with Microsoft Fabric, Power BI Embedded, or advanced Azure analytics services.
• Experience with Tabular Editor, DAX Studio, Power BI Performance Analyzer, deployment pipelines, or related tools.
• Experience designing multi-tenant, customer-specific, or embedded reporting at enterprise scale.
• Experience using Python, PowerShell, APIs, orchestration tools, copilots, or AI-assisted workflows.
• Experience with AI-driven reporting, anomaly detection, forecasting, natural-language analytics, or predictive-model integration.
• Understanding of governance, security, accuracy, and explainability considerations for AI-generated insights.

Benefits and culture

• ABC Fitness promotes a culture centered on Best Life, Growth Mindset, and One Team.
• Benefits include paid leave, holidays, medical insurance, life insurance, personal accident insurance, fitness reimbursement, and a Calm App subscription.
• The company supports working women with financial aid toward crèche facilities.

About ABC Fitness

Workplace

• The source includes a #LI-HYBRID indicator, supporting a hybrid workplace classification.