Job description. Data Engineer - AI & Automation Location: Belfast (Hybrid) Eligibility: Must have the right to work in the UK (no sponsorship available) I am working with a fast-growing AI automation company that is expanding into Belfast and building a brand-new technical are now looking for Data Engineers to help build the data foundations that power intelligent, agent-driven software testing at scale. You'll be joining a team where data is the backbone of everything: model training, real-time decision making, predictive analytics, and the next generation of AI-powered testing capabilities. If you enjoy architecting pipelines, tackling messy data, and building reliable systems that ML and engineering teams depend on, this is a chance to help shape a new Belfast function from the ground up. Why join? Be part of the founding Data Engineering team in a brand-new Belfast hub * Work on high-impact pipelines feeding cutting-edge AI and automation systems * Build modern, cloud-native data architecture with freedom to influence tools and direction * Strong collaboration with ML, software engineering, and platform teams * £55k - £75k per annum What you'll be doing: Design and build scalable, reliable data pipelines for ingestion, transformation, and feature delivery * Develop and maintain cloud-native data infrastructure supporting AI-driven testing platforms * Own ETL/ELT workflows, data models, and real-time processing components * Partner with Data Scientists to productionise features and ensure high-quality training data * Build systems for monitoring, observability, and data quality across multiple sources * Work with engineering teams to integrate data workflows into core platform services * Influence architecture and tool choices as we scale the new Belfast operation * Contribute to best practices in data governance, documentation, and automation What you'll bring: Strong experience building data pipelines using Python, SQL, or modern ETL frameworks * Hands-on experience with cloud data platforms (GCP ideal, but AWS/Azure welcome) * Solid understanding of data modelling, warehousing, and distributed processing * Experience with workflow/orchestration tools (Airflow, Prefect, etc.) * Ability to collaborate with ML teams and support model deployment workflows * Comfortable working in a fast-moving environment with lots of autonomy * Strong problem-solving mindset and attention to data quality, performance, and scalability Interested? If you'd like to join a growing AI team building genuinely impactful systems, reach out to Justin Donaldson for a confidential chat or send your CV to learn more. Skills: Python ETL SQL Cloud data pipelines