Hi, we’re Smoove, part of the PEXA Group.
Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, friction and stress that the current process creates.
We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two-sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy-to-use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent
Why join Smoove?
Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms – who together achieve outstanding results. Our transparent approach and open-door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us.
We are seeking an experienced Principal Data Engineer to define, lead, and scale the technical strategy of our data platform. This is a senior, hands-on leadership role at the intersection of architecture, governance, and engineering excellence, where you will shape how data is collected, processed, and delivered across the organisation.
You will own the end-to-end quality, performance, and scalability of our data systems — from raw ingestion through to trusted datasets powering business-critical analytics and reporting. This includes setting standard sand influencing the strategic roadmap for data infrastructure.
Our stack is built on both AWS and Azure, using Databricks across data domains and you will lead the evolution of this ecosystem to meet future business needs.
You’ll ensure that data is secure, compliant, discoverable, and business-ready, enabling analysts, data scientists, and stakeholders to make confident, data-driven decisions.
This role is ideal for a highly technical leader who thrives at both the strategic and execution levels: someone equally comfortable defining architecture with executives, mentoring senior engineers, and optimising distributed pipelines at scale.
