Data Engineer

Salary £60,000-£65,000 (FTE, per annum) Contract Full-time, permanent, with flexible working options available. Location Anywhere in the UK, with some national travel required to meet teams and clients. Office locations are London and Leeds. Co-working spaces are available across the UK. Final date to receive applications 29/10/2026

• Interest-free season ticket loans, electric vehicle and cycle to work schemes
• Up to 18 weeks of paid parental leave depending on your situation
• Pension with up to 6% matching contribution from dxw
• Flexible working to support your wellbeing and personal commitments
• Macbook and home office setup budget

As a Data Engineer at dxw, you’ll work as part of multidisciplinary teams to design, build and maintain data solutions for our clients.

You’ll help turn data from different sources into reliable, usable and well-structured datasets, building the pipelines and infrastructure needed to collect, transform, store and make data available. You’ll work closely with other technologists and colleagues across disciplines to understand what’s needed and choose appropriate approaches.

The exact technologies and challenges will vary from project to project. More often than not, our clients have their own established tooling, platforms and processes, which we need to work within rather than change. On other projects we’re involved from the start and help decide which tools and technologies to use. Either way, you’ll need to be comfortable picking up new tools quickly, working effectively in different client environments, and knowing when to adapt to what’s already there and when to recommend a different approach.

• Design, build and maintain data pipelines that collect, transform and move data between systems.
• Develop reliable and maintainable data models that make data useful and accessible.
• Work with a wide range of data types and sources, including structured data such as relational databases and spreadsheets, semi-structured data such as JSON, XML and logs, and unstructured data such as documents, free text and images. Handle data at different scales, from small, one-off datasets to large volumes that need efficient processing, while understanding each source’s structure, quality and limitations.
• Support AI readiness and data solutions in projects, which may include AI for data in deployed services, preparing data for machine learning, and other AI applications.
• Apply AI coding and other data handling tools responsibly in engineering work.
• Build and maintain data infrastructure using appropriate cloud services and data platforms.
• Apply modern software engineering practices to data work, including version control, automated testing, deployment and observability.
• Monitor and troubleshoot data pipelines and services, identifying and resolving issues when they arise.
• Contribute to technical decisions within projects, considering user needs, client requirements and the wider technical environment.
• Work within agreed technical and architectural approaches, while identifying where these may need to change or improve.
• Consider security, privacy, accessibility and responsible use of data as part of your work.
• Produce clear technical documentation so that others can understand, use and maintain the solutions you build.
• Learn and adapt to different technologies and platforms depending on the needs of the project.

Working with others

• Work collaboratively with developers, designers, researchers, delivery colleagues and other specialists as part of multidisciplinary teams.
• Communicate technical concepts clearly to colleagues and clients, including people without a data or engineering background.
• Take responsibility for your own work, raising risks or asking…