Senior Data & AI Engineer
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Role details
Tech stack
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Requirements
- Strong experience building and operating data platforms within the Azure ecosystem.
- Azure Databricks experience.
- Expertise designing scalable data pipelines, lakehouse architectures and governed data products.
- Experience deploying production workloads through CI/CD and engineering best practices.
- Strong understanding of APIs, data modelling, data quality, governance and platform optimisation.
- Knowledge of Generative AI, LLMs, RAG, semantic search, embedding and AI-powered applications.
- Ability to work closely with product, commercial and technical stakeholders to deliver high-impact solutions., * MS Azure Databricks
Benefits & conditions
- Build impactful data and AI products rather than purely internal infrastructure.
- Work with a modern Azure and Databricks technology stack.
- Influence AI strategy and product innovation.
- Join a business where data is central to commercial growth and decision-making.
- Enjoy significant ownership, autonomy and opportunities for progression.
- Hybrid working environment with flexibility and strong stakeholder engagement.
This is an opportunity to build innovative data and AI products that directly influence business growth, working with a modern stack including Azure, Databricks and Generative AI. You’ll have significant ownership, shape their AI product strategy and see your work delivered to end users rather than remaining behind the scenes.
Interested? Get in touch with Joshua at for more information.
All applicants MUST be UK-based with full right to work in the UK and be eligible for SC Clearance.
Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We’re the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
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