Data & AI Engineer – Up to £50,000
Location: Newcastle or Manchester — Hybrid
Opportunity
We are supporting a leading organisation within the Technology and Data space that delivers 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.
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
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