Analytics Engineer

The Data and Insights team spans everything from analytics engineering to reporting, 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. Ensuring that our choices are smart and based on a solid understanding of our entire business, this team is filled with enthusiastic and dedicated data enthusiasts.

What you'll do

• Monitor the pipelines that bring data into our Data Lakehouse, identifying potential issues early.
• Design, build, and maintain our automated data transformations, to create analysis-ready datasets and sources of truth.
• Architect and develop our data outputs at increasing scale, taking ownership over multiple data catalogs.
• 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 organization.
• Promote the benefits of analytics engineering practices among the wider Insight Team.

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 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)

• 2-3 years experience handling large data sets, delivering insight to stakeholders, 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.
• Familiarity with dbt (Cloud or Core).
• Understanding of Python.
• Familiarity with delivering data to Power BI, or another modern BI platform.

Skills & Experience (Desirable)

• Financial Services industry experience.
• Experience with Git for writing, storing, and collaborating on production level code.
• 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.
• Knowledge of CI/CD.

What's in it for you?

• Opportunity to join a fast-growing, award-winning, and super ambitious startup.
• 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 shares.
• 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.