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# Data and AI Engineer

- **Company:** Tenth Revolution Group
- **Location:** Middlesbrough, UK
- **Salary:** £45,000.0 - £51,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Big Data, Computer Programming, Data Integration, Data Warehousing, Python (Programming Language), Machine Learning, Cloud Services, Standard Sql, Working Model 2D, Large Language Models, Generative AI, Data Pipelines
- **Published:** May 20, 2026
- **Apply:** https://find.jobs/jobs-near-me/data-and-ai-engineer-middlesbrough-yorkshire/2776909171-2/

## About the Role

* Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role
 * Strong programming skills in Python and SQL
 * Experience building and maintaining data pipelines
 * Exposure to cloud data platforms, data warehouses, or big data technologies
 * Strong analytical and problem-solving skills
 * Ability to communicate technical concepts to non-technical stakeholders

Security & Compliance:

 * Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance

Working Model:

 * Hybrid working with a Manchester or Newcastle base

## Description

We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation., As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions., * Designing and building scalable data pipelines, datasets, and data models

 * Integrating data from multiple structured and unstructured sources
 * Developing advanced analytics, machine learning and AI solutions where appropriate
 * Building Generative AI solutions using large language models and prompt/context engineering
 * Ensuring data quality, reliability, and performance through testing and monitoring
 * Optimising data and model performance for scale and efficiency


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