Our Commitment to DE&I
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.
About Moneybox
Moneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point.
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
Hybrid working environment (2 days in our London office)
Home office furniture allowance
Personal Annual Learning and Development budget
Private Medical Insurance
Health Cash Plan (cashback on visits to the dentist & opticians etc)
Cycle to work scheme
Gympass 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
We encourage you to apply, even if you don't meet 100% of the qualifications listed above. We value diverse perspectives and are looking for passionate individuals who are eager to learn and grow.
Visa Sponsorship:
At this time we cannot offer visa sponsorship for this role.
