AI and Analytics Engineer

About the role

This role spans analytics engineering, solution architecture, and lightweight application development, working across Microsoft Fabric, Azure, Python, SQL, and React to turn data into actionable, business-driven solutions.

Responsibilities

• Design, build, and maintain data-driven solutions to optimise processes and deliver new capabilities.
• Develop and enhance analytics solutions across Microsoft Fabric and Azure platforms.
• Contribute to the wider Azure environment, including Azure Functions, Container Apps, and Key Vault.
• Support the development of AI-powered tools such as natural language query agents, semantic retrieval, and RAG pipelines.
• Participate in the design of scalable data architectures, including semantic layers, MDM frameworks, and reusable analytics components.
• Contribute to frontend development (React/TypeScript) where required to support user-facing analytics tools.
• Collaborate with Data Engineers, Analysts, and BI teams to integrate outputs into production-ready solutions.
• Document solutions comprehensively, including architecture decisions, metadata, lineage, and operational considerations.

Requirements

• Strong experience with Microsoft Fabric and Azure data platforms.
• Advanced skills in Python, T-SQL, and data modelling.
• Experience developing and integrating REST APIs.
• Knowledge of CI/CD pipelines, Git/DevOps workflows, and cloud engineering practices.
• Practical experience designing scalable analytics or data solutions.
• Working knowledge of React/TypeScript or willingness to contribute to front-end development.
• Experience with LLM/RAG architectures and AI tooling.
• Strong hands-on experience with React/TypeScript.
• Experience deploying Azure Container Apps and cloud infrastructure.
• Knowledge of Power BI, semantic models, and DAX.
• Experience with tools such as DBT, FastAPI, DuckDB, or Polars.
• Familiarity with Microsoft Graph API, YAML pipelines, and data platform automation.
• Exposure to machine learning concepts or analytics tooling development.
• Strong problem-solving mindset with ability to deliver practical, scalable solutions.
• Comfortable working across the full data stack (data, infrastructure, architecture, and UI).
• Excellent communication skills with ability to translate complex concepts into business value.
• Proactive, self-motivated, and able to operate in ambiguous environments.
• Strong stakeholder engagement skills with confidence to challenge and influence decisions.
• Product-focused mindset, ensuring solutions are usable, maintainable, and valuable.

Qualifications

• Experience with LLM/RAG architectures and AI tooling.
• Strong hands-on experience with React/TypeScript.
• Experience deploying Azure Container Apps and cloud infrastructure.
• Knowledge of Power BI, semantic models, and DAX.
• Experience with tools such as DBT, FastAPI, DuckDB, or Polars.
• Familiarity with Microsoft Graph API, YAML pipelines, and data platform automation.
• Exposure to machine learning concepts or analytics tooling development.
• Strong problem-solving mindset with ability to deliver practical, scalable solutions.
• Comfortable working across the full data stack (data, infrastructure, architecture, and UI).
• Excellent communication skills with ability to translate complex concepts into business value.
• Proactive, self-motivated, and able to operate in ambiguous environments.
• Strong stakeholder engagement skills with confidence to challenge and influence decisions.
• Product-focused mindset, ensuring solutions are usable, maintainable, and valuable.

Skills

• Strong experience with Microsoft Fabric and Azure data platforms.
• Advanced skills in Python, T-SQL, and data modelling.
• Experience developing and integrating REST APIs.
• Knowledge of CI/CD pipelines, Git/DevOps workflows, and cloud engineering practices.
• Practical experience designing scalable analytics or data solutions.
• Working knowledge of React/TypeScript or willingness to contribute to front-end development.
• Experience with LLM/RAG architectures and AI tooling.
• Strong hands-on experience with React/TypeScript.
• Experience deploying Azure Container Apps and cloud infrastructure.
• Knowledge of Power BI, semantic models, and DAX.
• Experience with tools such as DBT, FastAPI, DuckDB, or Polars.
• Familiarity with Microsoft Graph API, YAML pipelines, and data platform automation.
• Exposure to machine learning concepts or analytics tooling development.
• Strong problem-solving mindset with ability to deliver practical, scalable solutions.
• Comfortable working across the full data stack (data, infrastructure, architecture, and UI).
• Excellent communication skills with ability to translate complex concepts into business value.
• Proactive, self-motivated, and able to operate in ambiguous environments.
• Strong stakeholder engagement skills with confidence to challenge and influence decisions.
• Product-focused mindset, ensuring solutions are usable, maintainable, and valuable.

Benefits

• Access to Mitie's Choices lifestyle benefits platform, including additional holidays, dental cover, and tech schemes.
• Virtual GP access for you and your household.
• Financial wellbeing support through Salary Finance.
• MiDeals discounts, cycle-to-work scheme, and retail offers.
• Life cover up to 4× salary, enhanced pension contributions, and save-as-you-earn scheme.
• Opportunity to earn free shares through the Mitie Matching Share Plan.
• Recognition through the Mitie Stars programme with monthly and annual rewards.
• Continuous training, development, and career growth within Mitie.

Pay

TBD

Schedule

Hybrid