Senior Data Engineer

Data Engineering Lead - AI focused - required for an AI-First SaaS business, offering Remote Working, paying up to circa £75K + Benefits Working Pattern: This is a Remote First team who regularly get together for collaboration, planning and company events, typically every six weeks Role Overview: This is a new role within this business and has now become a point of investment as they see real value in what can be delivered as a full time position. This is a role that will give you genuine visibility and impact in the business; an ideal role for an experienced Senior or Lead Data Engineer who wants to work on far more than just data pipelines . You'll join an ambitious SaaS business that's building the next generation of software by combining AI, automation and modern engineering practices. Technology sits at the core of everything they do, as long as the customer and product is solving the correct problems, and as the business continues to grow, they're investing heavily in both their products and the internal systems that support them. The role has been created as they have reached the point where owning both the company's Data Engineering function and AI Operations has become too much for one person. You'll work closely alongside the CTO and Head of Engineering, taking ownership of a data and AI and helping shape how the organisation scales over the coming years. This isn't just another Data Engineering role... You will be responsible for the usual building of reliable data platforms, pipelines and integrations, however the real opportunity is much bigger as internal business data is just as important as the data that powers the customer platform. As Data Engineering Lead you'll own how information flows across the business, ensuring teams have access to trusted, accurate data that helps them make better decisions, reduce manual effort and ultimately build a more intelligent organisation. Alongside this, and hopefully an additional real plus is that, you'll play a leading role in developing AI-powered internal workflows and automation - this is a business that's well invested in utilising AI the right way, and have already been super success in supporting areas of the business, without the detriment to people in the business. It's about identifying opportunities where AI can genuinely improve how people work, creating scalable solutions and helping the business become increasingly AI-native. What you'll be involved in As Data Engineering Lead you'll take ownership of the company's data platform, ensuring data is reliable, accessible and scalable across production systems, reporting and business intelligence. You'll design and build modern data pipelines, improve data quality and governance, and create reusable datasets that allow teams to self-serve the information they need. You'll also work on AI-enabled workflows, automation and system integrations, helping departments across the business remove repetitive tasks and improve operational efficiency. This is a highly collaborative role where you'll work with Engineering, Product, Customer Operations, Sales, Marketing and the wider leadership team, helping everyone make better use of data and AI. We're looking for someone with experience in: Orchestration tools such as Make, n8n or equivalent Python and advanced SQL MySQL and PostgreSQL Building scalable data pipelines and integrations Data modelling, reporting and business intelligence API integrations and automation AI tooling, LLMs or workflow automation Data governance and quality Working closely with both technical and non-technical stakeholders The type of person who'll thrive here and why join? You'll enjoy solving business problems rather than simply delivering technical solutions. You'll be curious by nature, always looking at how technology can improve processes, remove friction and create better outcomes. As Data Engineering Lead you will already be experimenting with AI in your day-to-day work and be excited about where the industry is heading. Never afraid to ask \"Why?\" This is a business that thrives on this question as it drives improvements for all We have a long-standing relationship with this business, and it's a great place to be; the business has grown organically, continues to invest heavily in technology and offers an environment where good ideas are welcomed, experimentation is encouraged and people are trusted to make a difference. #J-18808-Ljbffr