2 of 2 DemandTrendPermanent Data Pipeline Jobs in Cardiff

Lead Product Analyst Department: Data & Analytics Employment Type: Full Time Location: Cardiff Description Hybrid: 2 days per week in-office Depending on experience, the internal title could also be Staff Product Analyst In 2002, we became the first insurance comparison site. Our purpose? To make the process of sorting your insurance, utilities or personal finances as easy as … touch today! About the role: As a Lead/Staff Analyst at you will be crucial in driving business impact and decision-making by bridging the gap between data and insight. In this role, we are looking for an analytical thought leader who will identify opportunities for deep analytics on customer behaviour and site performance by working closely … business requirements and ensure the data is structured appropriately for the required analytics Experience with data modelling, ETL process and/or data pipeline creation Comfortable managing multiple projects and stakeholders with competing deadlines and priorities, ensuring the highest value work gets prioritised and accomplished in a proactive and timely manner and ability More ❯

or Cardiff, UK (Hybrid/Flexible) Salary: £80,000 - £90,000 DOE (Plus equity options) About Us We are a proptech company at the forefront of AI and data innovation, partnering with leading insurance firms and major banks to deliver intelligent, scalable solutions for the property sector. Our work blends deep technical expertise with the reliability, security, and … compliance required by highly regulated industries. We design and build systems that collect, integrate, and process hundreds of data sources - from live APIs and large-scale web crawls to internal datasets - and connect them to cutting-edge AI models, including fine-tuned LLMs and retrieval-augmented generation (RAG) pipelines. Our solutions enable smarter property decisions, faster operations, and … financial services sectors. Culture of innovation combined with enterprise-grade quality and governance. Apply to with your CV and a short description of your most impactful RAG or AI pipeline project. More ❯