About Moneybox

At Moneybox, our mission is to give everyone the means to get more out of life. We’re guided by our belief that wealth isn’t about the money, it’s about the means to more – more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief

The Data and Insights team span everything from analytics engineering to reporting, insight analysis, decisioning, data science and machine learning. Helping everyone at Moneybox to understand what our customers are doing, how they are interacting with the app, which products they are using and what is important to them - this team ensures that we are equipped to deliver on our mission to help customers.

What you’ll do

• Design, build and maintain our automated data systems, to create analysis-ready datasets and sources of truth
• Architect and develop our data outputs at increasing scale, taking ownership over datasets and processes
• Collaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics features
• Help maintain code quality and organisation
• Promote the benefits of analytics engineering practices among the wider Insight Team
• Continuously look for ways to improve how we do Analytics Engineering at Moneybox

Who you are

• Genuinely interested in Moneybox and the services we offer
• Excited about being part of a fast growing company that’s trying to make a positive mark on the world by helping everyone to reach their financial goals
• Excited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scale
• Loves to build tools and systems that make your teammates’ jobs easier
• Somebody who thrives in a fast-paced startup environment
• Interested in all areas of the business and enjoys hearing about what other team members are working on
• Genuine interest in financial technology
• Constantly looking to improve in all areas that you can affect

Skills & Experience (Essential)

• 3-5+ years experience in an analytics engineering (or similar) role within a mature data team
• Experience handling large data sets (billions of rows) and optimising performance of data transformations
• Experience delivering insight to stakeholders directly or significant experience working closely with data analysts
• Experience with SQL (ideally within a modern data platform e.g. Databricks, Snowflake, BigQuery)
• Experience with automating data processes
• Experience with dbt (Cloud or Core)
• Experience with Python
• Familiarity with delivering data for use in BI platforms
• Experience with Git for writing, storing and collaborating on production level code

Skills & Experience (Desirable)

• Financial Services industry experience
• Experience with semantic modelling
• Experience with the principles of modelling data warehouses (Gold, Silver, Bronze table structure, Kimball modelling etc)
• Experience working in a medium/large data team (20+)
• Applied knowledge of analytics engineering best practices and methodologies
• Experience with dbt Core
• Experience building and maintaining testing and deployment pipelines for data warehouses
• Experience with Azure Databricks
• Experience with PySpark
• Experience with streaming data transformation
• Experience collaborating with ML engineers

What’s in it for you?

• Opportunity to join a fast-growing, award-winning and super ambitious company

• Work with a friendly team of highly motivated individuals

• Be in an environment where you are listened to and can actually have an impact

• Thriving collaborative and inclusive company culture

• Company pension scheme

• Company bonus scheme

• Hybrid working environment

• Home office furniture allowance

• Personal Annual Learning and Development budget

• Private Medical Insurance

• Health Cash Plan – cashback on everyday healthcare like dental and opticians

• Cycle to work scheme – spread the cost of a new bike and accessories

• CycleSaver – save on bike-share subscriptions and have a more sustainable commute

• Wellhub subscription to a variety of gyms and wellbeing apps

• Enhanced parental pay & leave

• 25 days holiday + bank holidays with additional days added with length of service.

Our office is in London, by the Oxo Tower

Our Commitment to DE&I: At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make.

We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential

Working Policy: We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.

Visa Sponsorship: At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications.

Please read before you apply! Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre-employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance.

By sending us your application you acknowledge and agree to Moneybox using your personal data as described below. We collect applicants’ personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally. We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.

If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would like to reach us then please email: [email protected]. If you would rather we did not keep your details on file, you can contact us at: [email protected]

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.