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Senior Analytics Engineering Lead, EU Expansion

London

🚀 We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

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 ❤️

Hear from our team about what it's like working at Monzo ✨

 

📍London/Cardiff/UK Remote | 💰 £130,000-£145,000 ➕ stock options and Benefits | Hear from the team ✨

⭐ Our European Expansion team

We’re on a mission to make money work for everyone and wave goodbye to the complicated and confusing ways of traditional banking. An important part of that journey is bringing Monzo beyond the shores of the UK and to the wider European market. With our hot coral cards, financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers – and are now looking to bring that experience to Europe.

Data is crucial to the success of this mission and Analytics Engineering is at the core of how we build and scale our data to enable both faster and better decision making necessary to drive Monzo’s growth. Joining now gives you the chance to shape our expansion strategy and impact data at scale at Monzo.

🔑 You’ll play a key role by...

  • Serving as a data architect for Monzo’s EU expansion, contributing to the design and scalability of data models that measure the performance and engagement of our product suite.
  • Collaborating closely with the rest of the tech organisation across Monzo to prioritise internationalisation from gathering requirements to making the appropriate trade-offs.
  • Work closely with backend engineering and our data platform team to define the data architecture across our systems to ensure we are capturing the right data at source and have a unified data model for both our backend and data infrastructure.
  • Help shape and maintain best practices for our data warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
  • Develop robust data models downstream of backend services, primarily in BigQuery, to enable internal reporting, machine learning, as well as financial and regulatory use cases.
  • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
  • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
  • 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 have a strong passion for data modelling, ETL projects, Big Data and scaling data warehousing infrastructure effectively.
  • 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.
  • You have experience building robust and reliable data sets that require a high level of control.
  • You enjoy working with cross-functional, fast-moving teams and balancing priorities whilst being focused on the best outcomes for our customers.
  • You are able to think strategically about Monzo’s product set and growth – working closely with product squads to understand upcoming product changes and planning accordingly in our data architecture that will unlock more insights for our team and more value for our customers.
  • You are excited about enabling other Data Scientists and Analytics Engineers by sharing your expertise on data architecture, as well as influencing our backend engineering decisions.

 

The interview process:

Our interview process involves 3 main stages: 

  • Recruiter Call (30 mins)
  • Initial Call with Hiring Manager (45 mins)
  • Final Loop consisting of x3 hour long interviews to assess a Case Study, Technical Leadership and Collaboration.

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to tech-hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

 

🙌 What’s in it for you

💰 £130,000-£145,000 ➕ stock options

✈️  We’ll help you relocate to the UK

✅  We can sponsor your visa

📍 This role can be based in our London or Cardiff offices, 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, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

➕ Plus lots more! Read our full list of benefits.

 

#LI-OD1 #LI-REMOTE

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, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

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 😊

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