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Nationwide is seeking a Data Engineer to design and maintain data pipelines and data products. You will work with Databricks, Azure and Python to deliver reliable data solutions, while learning modern engineering practices and growing your technical expertise.
You’ll contribute to testing, quality checks and documentation, and collaborate with engineers, analysts and product teams to understand business needs and create value across the organization.
We are looking for a Data Engineer who is passionate about technology, data and learning. You’ll work alongside experienced engineers to build and support data solutions while developing your technical skills, understanding of our data and knowledge of the business.
You'll contribute to the delivery of high-quality data products, learn modern engineering practices and progressively take greater ownership as your experience grows.
At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.
For this job, you'll spend at least two days per week, or if part-time, you'll spend 40% of your working time, based at our Northampton, Swindon or London office. If your application is successful, your hiring manager will provide further details on how this works.
Nationwide is committed to the redeployment of our employees impacted by change, as such applications for redeployment candidates will be prioritised in this recruitment process.
If you’re a colleague on long-term absence (for example, on parental leave) or a temporary worker, please use your personal email address to submit an application.
Uncompromisingly Customer, whatever our role
The extras you'll get
There are all sorts of employee benefits available at Nationwide, including:
Banking – but fairer, more rewarding, and for the good of society
We forge our own path at Nationwide.
As a mutual, we’re owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. We don’t see customers as the engine of our own profit. We share our profits with them and put their needs first. Always there when they need us. Supporting them and their lives.
If you’re inspired by fairer finances, passionate about making a meaningful impact, and truly care about our customers, you’re one of us.
At Nationwide, you are challenged to grow and rewarded for doing so. Valued. Recognised. Inspired to be your best. As a community, we want our working lives to count. As a team, we celebrate what we achieve. As a standard-setter, we work for the good of customers, communities, and broader society.
We are purpose-driven. Uncompromisingly customer. Unstoppably Nationwide.
What you’ll be doing
You will play an important role in developing and supporting the data pipelines, transformations and data products that enable colleagues across the organisation to make effective, data-driven decisions. Working alongside experienced engineers, you will contribute to the delivery of reliable and efficient data solutions while growing your technical expertise and understanding of modern data engineering practices.
In this role, you will write clean, maintainable code using technologies such as SQL and Python, supporting the development of high-quality data products and services. You will help ensure the accuracy and reliability of data by carrying out testing and quality checks, investigating issues and supporting the resolution of data and pipeline incidents in a timely manner.
You will gain hands‑on experience with a range of technologies, including Databricks, dbt, Azure and GitHub, while following established engineering, testing, deployment and change management processes. Maintaining clear technical documentation and applying data security, governance and access standards will be key aspects of your work, helping to ensure solutions are robust, secure and well managed.
Working collaboratively with engineers, analysts, product teams and other stakeholders, you will contribute to code reviews, Agile ceremonies and wider team delivery activities. You will build your understanding of the business, its data and the ways in which our solutions support both customers and colleagues, enabling you to make a meaningful contribution to ongoing initiatives.
As part of a supportive and collaborative environment, you will actively develop your technical capability through practical experience, coaching and continuous learning. You will be encouraged to contribute ideas that simplify processes, increase automation and improve the way the team works, while building awareness of developments in data, analytics and AI and exploring how these can be applied to create value for the organisation.
Success in this role means building strong engineering foundations while consistently delivering high-quality work as part of the team. You will continue to develop your technical and business knowledge, learn from feedback, collaborate effectively with colleagues and demonstrate growing confidence, accountability and ownership as your experience progresses.
About you
As a minimum requirement, you'll have:
A keen interest in data and software engineering
Knowledge or practical experience of SQL, Python or similar technologies
Some exposure to cloud or modern data platforms
An understanding of software engineering and data concepts
Good problem-solving and analytical skills
Strong communication and collaboration skills
A growth mindset, with curiosity and enthusiasm for learning
The ability to work effectively as part of a multidisciplinary team
An appreciation of the importance of data quality, security and responsible use of data
Some experience or knowledge inDatabricks, dbt, Azure, GitHub, DevOps or Agile ways of working
Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:
You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these.
We respond to everyone, so we will be in contact shortly after the closing date to let you know the outcome of your application.
Keeping your data and personal information confidential is important to us. To find out more about how we use and process your data, please read our Privacy policy .
If you want to find out more about using AI in our recruitment process, please read more here .
We’re not just guided by data, we’re driven by the real experiences of our people. We’re a Disability Confident Level 3 Leader, the highest level.
That’s why we’re constantly evolving our policies and practices to make sure everyone feels genuinely supported, valued, and empowered to champion inclusion. Whatever your needs, we’re here to support you. If you need any additional support throughout your application journey, email our team at Recruitment Support .
Recruitment scams can look convincing, so take a moment to check the role is listed on our official careers site and read our guidance on Don’t be conned by a job scam.
The hiring manager for this role is Anthony Kishore, and the main recruitment contact is Sameena Rehman.
Banking - but fairer, more rewarding, and for the good of society