Senior Web Engineer | Cardiff, UK

Monzo
Cardiff
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Salesforce Engineer

Senior Data Engineer Azure Databricks and Data Factory

Senior Software Engineer, ML Ops

Senior Engineer - Portal

Full Stack Engineer

Principal Software Engineer

We're on a mission to make money work for everyone.

We're waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers!

We're not about selling products - we want to solve problems and change lives through Monzo.

Position: Senior Engineer (L50)
Location:London or UK Remote
Salary:£95,000 - £130,000 + Benefits
Department:Technology - Engineering

About our Engineering Teams:

We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company.

These range from the products our customers use every day to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities.

We contribute toopen source softwareas much as possible. Ourblogis a good place to learn even more about what we do!

Your day-to-day:

This role is all about collaborating with your team to make a difference to your customers. As a web engineer you'll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more!

Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion.

Responsibilities:

  • Working closely with designers to iterate and improve on the user experience (UX) of the web banking platform, building accessible and intuitive interfaces.
  • Actively contributing to every stage in the product development lifecycle within your team, and owning the development of new features from start to finish.
  • Working closely with our backend engineers to design APIs to support new frontend features.
  • Collaborating with other web engineers to add brand-new features to the Business Banking web platform.


You should apply if:

  • You love building products in cross-disciplinary teams using an iterative approach, driven by user feedback and data insight.
  • You care deeply about providing a great user experience for our users.
  • You have an interest in building performant web experiences and designing/building UI that makes it easy for users to accomplish what they need.
  • You enjoy working in a large front-end codebase with many stakeholders.
  • You understand the importance of prioritisation in your work to ensure a good balance between development velocity and code quality.
  • You have developed modern component-oriented JavaScript applications using frameworks and libraries (e.g React, Vue, Angular, Flow/Typescript, Webpack etc).
  • You are a keen learner and love sharing your knowledge with others.


The Interview Process:

Our interview process involves four main stages:

  1. Recruiter Call
  2. Initial Call
  3. Technical Interview
  4. Final interview including a system design and a behavioural interview


Our average process takes around 2-3 weeks but we will always work around your availability.

What's in it for you:

  • £95,000 - £130,000 base salary plus stock options.
  • We can help you relocate to the UK.
  • We can sponsor visas.
  • This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
  • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
  • Learning budget of £1,000 a year for books, training courses and conferences.


Equal opportunities for everyone:

Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.