Job Description
Data & AI Engineer - Up to £50,000
Location: Newcastle or Manchester - HybridSecurity Clearance: UK SC eligibility required
The Opportunity
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.
This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies.
The Role
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.
Key responsibilities:
* 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
Required Experience & Skills
* 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
Why Apply?
* Work on high-impact, enterprise-scale data and AI initiatives
* Gain exposure to a wide variety of industries and complex systems
* Be part of a collaborative, inclusive engineering culture
* Access structured career development, training and progression opportunities