Join us as a Senior Data Engineer
This is an opportunity for a technically minded individual to join us as a Senior Data Engineer
You’ll be designing, producing, testing and implementing data driven solutions, working across the lifecycle of the system
Hone your existing data engineering skills and advance your career in this critical role
Our team operates within a hybrid working model, which means you’ll work from home some of the time, but you’ll also spend one day per week working from our London office to collaborate with your colleagues
Working in a permanent feature team, you’ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You’ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.
You’ll also be:
Applying Agile methods to the development of data engineering solutions
Producing resilient and long-lived solutions and acting flexibly to cope with future needs
Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
Designing and developing solutions with a focus on the automation of build, test and deployment activities, using executable patterns
Mentoring and training other team members on data engineering best practices
We’re looking for someone with strong full stack experience in data engineering design and implementation. You’ll bring extensive experience across the modern data stack, including pipeline development in SQL and Python, and data orchestration and transformation using Airflow and dbt. You’ll also be capable of complex requirements analysis against business and systems requirements.
Additionally, you’ll demonstrate:
Experience of leading the implementation of best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
Experience of information security policies and data governance practices within the financial sector
Strong stakeholder management and communication skills with the ability to communicate complex technical concepts in a simple way
Strong proficiency in relational databases, advanced SQL, and robust data modelling
Experience designing, building, and operating cloud‑based data solutions (Azure preferred)
Extensive experience working with scalable batch and streaming architectures using distributed data processing frameworks such as Spark and PySpark
Hours
35Job Posting Closing Date:
11/02/2026Ways of Working:Remote FirstSimilar Jobs
What We Do
We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate.
As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these.
Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence.
One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025.
We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.
