Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Data and AI Engineer
Location: Newcastle or Manchester
Salary: £45,000 to £51,000 GBP
Employment Type: Permanent
Security Clearance: UK SC eligibility required
The Opportunity
We are supporting a leading organization within the Technology and Data space that delivers large-scale, technology-enabled transformations. This team specializes 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.
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
- Optimizing data and model performance for scale and efficiency
Requirements
- 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
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
About the Company
Nigel Frank is a leading recruitment firm specializing in technology and data roles. We are committed to helping professionals advance their careers in innovative and impactful environments.
Working Model: Hybrid working with a Manchester or Newcastle base