Senior Analytics Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (42.0%).
Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
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Description
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
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
- Genuinely interested in Moneybox and the services we offer
- 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
- 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
- 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.
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.