2 of 2 Data Engineering Jobs in Staffordshire

Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications … Team, Finance, the Data Governance & Quality Manager, and the wider IT function to ensure our data remains accurate, timely, and trusted. This is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that … smarter, faster decision-making at every level of the firm. With a small but growing team, we're looking for someone ready to wear multiple hats-from business/data analysis to solution design, implementation, and testing. The core foundation is in place-now we need someone to help operationalise and scale it, turning potential into business value. Key More ❯

matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn't feel like the right fit, no worries. … But if you feel that spark, the same one we've got, this could be the start of something extraordinary. The Role at a Glance VP of Engineering Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car … Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose - 10% of profits donated to 1moreChild orphanage annually Your Expertise You're a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You've led teams through More ❯