FinOps Data & AI Engineer

Job summary

Design and optimize data pipelines and AI-ready models for multi-cloud cost and usage analytics using Azure Fabric, OneLake, and Power BI. Apply AI and machine learning to forecasting, anomaly detection, and optimization recommendations while ensuring performance, governance, and security.

Job details

FinOps Data & AI Engineer We are seeking a FinOps Data & AI Engineer with strong experience in the Azure BI and AI stack to design, develop and optimize our FinOps cost analytics, AI-driven insights, and automation capabilities. You will work at the intersection of data engineering, FinOps and AI, building intelligent solutions that help organizations make smarter tech spending decisions. Key Responsibilities Design and implement data pipelines for ingesting, transforming and modeling multi-cloud, multi-scope cost and usage data using Fabric, One Lake and Power BI. Design and build AI-optimized data models. Apply AI/ML techniques to improve forecasting, anomaly detection and optimization recommendations. Collaborate with product owners and engineers to translate business requirements into AI- and data-driven solutions. Implement best practices for performance tuning, governance and security in BI and data pipelines. Stay current on emerging AI, analytics and FinOps technologies, evaluating their potential for inclusion in Envisor’s product roadmap. Qualifications & Experience 5+ years in data engineering, BI development, or AI-powered analytics, ideally with exposure to FinOps or cloud cost management. Strong proficiency with the Azure BI stack (Fabric, One Lake, Python Notebooks, Azure SQL, Power BI) and advanced skills in SQL/KQL. Experience with Azure AI and ML technologies. Working knowledge of cloud cost datasets (FOCUS, AWS CUR, Azure cost exports) and FinOps best practices. FinOps Practitioner or FinOps Engineer certification or willingness to become certified within 60 days of hire. Proven ability to design, optimize, and scale complex ETL/ELT processes. Comfortable working in a fully virtual, high-performance, and collaborative environment. Excellent communication skills, both written and verbal. Why Join Envisor? Envisor is redefining traditional cloud cost management. As our FinOps Data and AI Engineer, you’ll be poised to help architect innovation, influencing the direction and success of a product with transformative potential. 100% remote work environment with flexible hours. Opportunity to work on cutting-edge FinOps and AI-powered analytics. Collaborative, innovation-driven culture. Competitive compensation and performance-based incentives. Own a piece of the Envisor story! Help author a FinOps platform that is changing the way businesses manage technology. Send your resume to Info@envisor.io.

What you’ll do

Design and optimize data pipelines and AI-ready models for multi-cloud cost and usage analytics using Azure Fabric, OneLake, and Power BI. Apply AI and machine learning to forecasting, anomaly detection, and optimization recommendations while ensuring performance, governance, and security.

Requirements

Requires 5+ years of experience in data engineering, BI development, or AI-powered analytics, with strong Azure BI stack skills and advanced SQL/KQL. Candidates should know cloud cost datasets and FinOps practices, have experience with Azure AI/ML and scalable ETL/ELT, and hold or be willing to earn a FinOps certification within 60 days of hire.

Benefits

• Flexible Hours
• Performance-Based Incentives

Listed skills

• Power BI · Preferred
• SQL · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Engineering
• FinOps
• Azure Fabric
• OneLake
• Power BI
• Python Notebooks
• Azure SQL
• SQL
• KQL
• Azure AI
• Machine Learning
• ETL/ELT
• Data Modeling
• Cost Forecasting
• Anomaly Detection
• Cloud Cost Management

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Engineering