Data Engineering Manager UK Remote

About the role

IVC Evidensia is the UK and Europe's leading veterinary care group, made up of over 900 practices and referral hospitals, united by a shared purpose of happier animals, happier owners. At IVC Evidensia, we believe careers should be built without limits. Our people are supported to make more impact, access more career opportunities, and play an active role in their local and professional communities. Through investment in learning, innovation, and wellbeing, we create environments where our teams can grow in confidence, capability, and fulfilment-at every stage of their career. As part of Central Functions, you will be part of the teams that support and enable our network of over 2,500 practices across 20 countries, driving operational excellence, innovation, and strategic impact across the business. Our Technology teams are responsible for the systems and infrastructure that make that work - everything our healthcare professionals need to deliver world-class care. From keeping on top of patient records, health plans, client communications, diary management and dispensing, our teams have a lot to think about and need smarter ways to provide the convenience and expertise that modern Pet owners have come to expect. The Data Engineering Manager is a UK Remote based role with occasional office attendance of around once or twice a month. Team Join our growing Data function as we modernise our entire data ecosystem and transition from a traditional SQL data warehouse to a cutting-edge Databricks Lakehouse architecture. You'll lead a high-performing Data Engineering team (typically 4-8 engineers), working closely with Product Managers, Architects, Infrastructure, Service teams, and regional data partners to deliver a federated data platform that powers insight and innovation across the organisation. As part of the wider Technology group, you'll report into the VP of Software Engineering and collaborate regularly with senior stakeholders. This is a key leadership role shaping how we build, deliver, and evolve our data products. What will you be doing? As our Data Engineering Manager, you'll lead a high-performing team to deliver reliable, high-quality data products and drive our transition to a modern Databricks Lakehouse platform. Lead & develop the team - build a culture of trust, accountability, and continuous improvement, with clear coaching and performance support. Own delivery & outcomes - ensure the team ships valuable data products in small, frequent increments, with clear visibility of progress, risks, and quality. Drive technical direction - guide engineering decisions, support trade-offs, and maintain the health, reliability, and observability of our data systems. Improve ways of working - champion outcome-focused, pragmatic processes that help the team move faster and safer, using metrics and feedback to evolve how you work. Partner with Product - work closely with Product Managers to shape roadmaps, define priorities, and balance short-term delivery with long-term platform health. What are we looking for? A proven leader who can build, support, and challenge a high-performing engineering team. Strong experience delivering data products in modern data platforms (SQL Warehouse & Azure Databricks Lakehouse). A track record of managing delivery, guiding engineering decisions, and driving measurable outcomes. Deep understanding of data engineering, platform reliability, and best-practice ways of working. Someone who balances empathy with high standards, and creates a culture where people do their best work. Exceptional communication skills - clear, honest, and able to influence at all levels. A mindset focused on value, quality, and iterative delivery. #LI-WL1 What's in it for you? At IVC Evidensia, we're committed to supporting your development and wellbeing. When you join us, you'll benefit from: A role with real business impact supporting teams across the organisation Clear career pathways with progression opportunities within Central Functions and beyond Ongoing learning and development supported by tailored programmes and resources A collaborative, values-led culture focused on care, innovation, and continuous improvement Flexible working with a remote first working policy