Data Engineering Manager Remote

About Us

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. 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.

The Data Engineering Manager is a UK Remote based role with occasional office attendance of around once or twice a month. 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.

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) and work 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.

• Lead and develop the team – build a culture of trust, accountability, and continuous improvement, with clear coaching and performance support
• Own delivery and 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

• 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

• 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

• Healthcare Cash Plan
• Cycle to Work scheme
• Green Cars salary sacrifice scheme
• Voluntary benefits: choose from a range of benefits to suit you
• Discounted staff pet care
• Access to discounts/cashback with hundreds of participating retailers

We are committed to Diversity, Equality, Inclusion and Belonging and welcome candidates from all minority and diverse groups. As a Disability Confident Employer, we are keen to hear from candidates with disabilities and long‑term health conditions and would be happy to discuss any reasonable adjustments needed during the recruitment process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.