Senior Lead Analysts - Data Management and Modeling

About the role

We are looking for a Lead Data & AI Engineer to build trusted data and semantic foundations that turn enterprise AI into scalable business capability. You will combine data engineering, data-product thinking, dimensional and semantic modelling, application development, AI engineering, and practical data science.

What you'll do

• Deliver production-ready Data & AI solutions, staying hands-on in investigation, architecture, coding, modelling, testing, and implementation
• Build AI-ready data foundations and agentic solutions grounded in structured data, governed measures, semantic metadata, and enterprise knowledge
• Build production-ready Agentic AI, LLM, RAG, and tool/API orchestration patterns using enterprise engineering standards
• Build analytical and AI-enabled applications using Fabric application capabilities, Rayfin, or comparable frameworks, integrated with semantic models, APIs, agents
• Build robust ELT/ETL pipelines using Snowflake, Microsoft Fabric, SQL, Python, dbt, Apache Airflow, or comparable technologies

What you need

• 8–14 yrs of experience
• SQL
• Python
• Snowflake
• LLMs
• Data modelling
• Machine learning
• Any graduate

Good to have

• Git
• Power BI
• DAX
• Test automation
• CI/CD
• ETL