高级分析工程师
Senior Analytics Engineer
🚀 我们致力于让金钱为每个人服务。
我们告别了传统银行复杂且令人困惑的方式。
从预付卡起步，过去10年我们在英国的产品线有了很大扩展。除了[个人](https://monzo.com/current-account/personal)和[企业](https://monzo.com/business-banking)银行账户，我们还提供[联名账户](https://monzo.com/current-account/joint-account)、[16-17岁青少年账户](https://monzo.com/current-account/16-17)、[免费儿童账户](https://monzo.com/current-account/under-16s)以及英国的[信用卡](https://monzo.com/flex)，未来还有更多令人兴奋的新功能。我们的英国客户还可以[储蓄](https://monzo.com/savings)、[投资](https://monzo.com/investments)并[合并养老金](https://monzo.com/pensions)。
凭借我们热门的珊瑚色卡片和提前收款功能，加上社交媒体上的金融教育和获奖的客户服务，我们一直致力于为客户创造难忘的体验！
我们不只销售产品——我们希望通过Monzo解决问题，改变人们的生活 ❤️
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📍伦敦/卡迪夫/英国远程 | 💰 £76,500-£95,000 ➕ 与你的表现挂钩的激励奖金及[福利](https://monzo.com/careers/) | [听听团队的声音](https://www.youtube.com/watch?v=U62l09nB0M4) ✨
**Monzo的分析工程**
我们有大约60名分析工程师，占总共约300名数据从业者的一小部分——而我们对这个领域有着宏大的抱负。分析工程是构建数据的核心，使Monzo能够通过高性能、可扩展且高质量的数据仓库做出更好更快的决策。作为这里的分析工程师，你将与其他如产品、工程和数据科学等领域的同事协作，并定期举办知识分享会，你将学到很多内容，从我们的数据建模原则到银行运作方式以及有效沟通技巧。
**你将参与的工作：**
分析工程团队负责从后端服务构建下游数据模型，目标是使我们的数据仓库成为Monzo真正的竞争优势。我们希望有一个具备能力的领域，能够构建出色的数据仓库以支持决策制定、商业智能、关键财务对账流程以及一流的分析和数据科学。
你将推动我们的数据驱动方法，并：
查看英文原文
**_🚀 We’re on a mission to make money work for everyone._**
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as [personal](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments) and [combine their pensions](https://monzo.com/pensions) with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
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📍London/Cardiff/UK Remote | 💰 £76,500-£95,000 ➕ Incentive Awards tied to your performance and [Benefits](https://monzo.com/careers/) | [Hear from the team](https://www.youtube.com/watch?v=U62l09nB0M4) ✨
**Analytics Engineering at Monzo**
We have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you’ll learn loads about everything from our data modelling principles to how banks work and effective communication.
**What you’ll be working on:**
The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science.
You’ll enable our data driven approach, and:
- Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.
- Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
- Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.
- Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.
- Take established best practices and standards defined by the team, applying them within other areas of the business.
- Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
- Contribute to prioritisation of data governance issues
- We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role
**We’d love to hear from you if…**
- You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
- You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
- You have a strong passion for data modelling, ETL projects, and Big Data.
- You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
- SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
- You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
##### **Nice to haves**
- Any experience working within a finance function or knowledge of accounting.
- Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).
- Knowledge of regulatory reporting and treasury operations in retail banking
- Exposure to Python, Go or similar languages.
- Experience working with orchestration frameworks such as Airflow/Luigi
- Have previously used dbt, dataform or similar tooling.
- Used to AGILE ways of working (Kanban, Scrum)
**The Interview Process:**
Our interview process involves 3 main stages:
- 30 minute recruiter call
- 45 minute call with the hiring manager
- Take home task
- 2-part final stage
Our average process takes around 3 weeks but we will always work around your availability.Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
**What’s in it for you:**
✈️ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits [**here**](https://monzo.com/careers/)
#LI-AS1 #LI-REMOTE
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**Equal opportunities for everyone**
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our [blog](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025)
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊