Resumen del puesto por JobGrid
Senior Analytics Engineer at moneyboxapp: London, Reino Unido; Presencial; Tecnología; Ingeniería de datos. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: London, Reino Unido, Presencial
- Role classification: Tecnología, Ingeniería de datos
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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
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.