Data Engineer - Belfast
Confidential
About the role
Data & AI Engineer - Up to £40,000
Location: Belfast (Hybrid Working)Security 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 Belfast 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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