Data Engineering Manager

We’re On the Beach! Since 2003, we’ve been rewriting the rules of how people discover, book and experience their perfect getaway. What started as connecting people to short-haul beach holidays has evolved into something much bigger: premium beach destinations, long-haul adventures and vibrant city breaks and that’s just the beginning of our story.

Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we’re accelerating delivering best-in-class technology, the ultimate holiday app, and experiences that keep our customers coming back for more.

Ready to build the future of travel with us?

We operate a remote-first working model, with colleagues meeting in our Manchester office one day every two weeks.

Please note that all applicants must be eligible to work full-time in the UK.About the Role We’re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.

This is a great opportunity for someone who enjoys developing people as much as solving complex technical and platform challenges. You’ll play a key role in helping us modernise how data moves through the business, from event-driven cloud data through to more traditional operational data sources, while supporting a talented team of engineers to do their best work.

What you’ll be doing day to dayAs Data Engineering Manager, you’ll help lead a team responsible for building reliable, scalable and trusted data products across On the Beach.

The role will be varied, with your time broadly split across three key areas: helping us consume and shape event-driven data, working with more traditional data sources and patterns, and supporting the growth and development of the team.

You’ll work closely with engineers, analysts, product teams, commercial teams and senior stakeholders to make sure our data platforms are robust, well understood and genuinely useful to the business.

You’ll be responsible for:

Leading, supporting and developing a team of data engineers, creating an environment where people can grow, share knowledge and deliver high-quality work Shaping our approach to both modern event-driven data and more traditional data sources, helping improve how we ingest, process, model and make data available across the business

Supporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data quality

Partnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutions

Helping define and improve data engineering standards around testing, monitoring, documentation, deployment and reliability

Making pragmatic technical decisions that balance delivery, platform quality, long-term maintainability and business value

Encouraging a culture of technical curiosity, continuous improvement and strong engineering practice across the team

We’re looking for someone who enjoys both technical leadership and people development. You’ll be comfortable working across engineering detail, platform direction and stakeholder conversations.

You’ll likely bring experience in:

Building, operating or leading cloud-based data platforms and production-grade data workflows

Working with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, Big Query, Spark or similar

Event-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environments

Designing reliable, observable and well-tested data products that can be trusted by both technical and non-technical users

Coaching, mentoring or supporting engineers, with an interest in helping people develop and progress

Communicating technical ideas clearly and making pragmatic decisions in fast-moving environments

Nice to have

Experience with lakehouse architecture, medallion-style workflows or enterprise data modelling

Exposure to data governance, catalogue tooling, lineage, data quality frameworks or access management

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