2 of 2 Part-Time Data Engineering Jobs in Wales

Data Engineer | Hybrid | Pontypridd IntaPeople are proud and excited to be appointed to recruit an experienced Data Engineer for a Welsh-based not-for-profit sector client on an exclusive growth project. This is a very exciting opportunity to join their fast-growing Data/IT function in this newly created position. You will be joining the … data team as one of the first employees in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. In this newly created role youll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You will also get the opportunity to progress into a leadership role if this suited the individuals desires and capabilities. Youll be exposed to More ❯

Senior Data Engineer Cardiff/Hybrid 65,000 - 75,000 + benefits Yolk Recruitment are proud to be supporting a leading global business investing heavily in its data and analytics capabilities. Theyre looking for a Senior Data Engineer to help shape the next generation of their data platform leading technical design, mentoring others, and driving best … practice. This is a great opportunity for an experienced data professional who enjoys solving complex challenges, optimising large-scale systems, and influencing strategy within a collaborative, forward-thinking team. What youll be doing: Lead the design and implementation of scalable, high-performance data architectures and pipelines. Define and enforce best practices for data engineering, including coding … standards, testing, and documentation. Mentor and guide engineers, fostering collaboration and technical excellence. Translate complex business requirements into reliable, well-structured data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Drive adoption of modern data tools and technologies across the organisation. Ensure robust data governance, security, and compliance. Troubleshoot and resolve complex data More ❯