Senior Data & Ai Engineer
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Role details
Tech stack
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Job description
They’re hiring a hands-on Senior AI & Data Engineer to own technical delivery from discovery and design through to deployment and production support, lead client engagement, and help win new business. This is not a purely advisory role: you’ll be in the technology daily, using AI-assisted development tools to speed up delivery without lowering standards., * Lead the design, build and delivery of cloud data platforms on Azure, Databricks and Microsoft Fabric
- Write and review complex SQL, including tuning and troubleshooting
- Build and optimise production ETL/ELT pipelines with solid orchestration, monitoring and recovery
- Design dimensional, warehouse and lakehouse data models
- Resolve data-quality, reliability and performance issues
- Set engineering standards and mentor the delivery team
- Support new business through client discovery and credible solution design
- Build practical AI and agentic solutions using OpenAI, Claude and Microsoft Copilot, integrated with existing data platforms
Requirements
- Significant hands-on data engineering experience, ideally in consultancy across multiple client environments
- Advanced SQL and strong ETL/ELT pipeline experience
- Hands-on Azure, Databricks, Microsoft Fabric or comparable cloud platform experience
- Python or PySpark, plus Git, CI/CD, testing, monitoring and infrastructure as code
- Strong data modelling and client-facing communication skills
- Practical experience building AI-powered solutions and using tools like GitHub Copilot, Claude Code or Cursor day to day, with real examples
Tech: Azure, ADF, Synapse, Databricks, Delta Lake, Spark, Terraform, Data Vault, LLM APIs, RAG, agentic frameworks
If you’re a UK-based data engineer with consultancy experience and a practical approach to AI, apply now or get in touch for a confidential conversation.
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