At a Glance
- Tasks: Design and optimise data models using BigQuery and ETL pipelines.
- Company: Join Monzo Bank, a forward-thinking financial institution.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Work remotely within the UK with occasional team meet-ups.
- Why this job: Make an impact on data-driven decisions in a collaborative environment.
- Qualifications: Experience with data modelling and ETL processes required.
The predicted salary is between 72000 - 88000 £ per year.
Monzo Bank is seeking a data-focused professional to design and optimise our data models downstream of backend services.
You will work with Big Query, Data Warehouse concepts, and ETL pipelines to support internal reporting, analytics, and regulatory use cases.
The role emphasizes collaboration across cross-functional teams, continuous improvement, and on-call support.
Remote within the UK is possible with occasional meetings in London, Cardiff, or remotely as needed.
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Senior Analytics Engineer - Data Warehouse & ETL Lead in London employer: Monzo Bank
Monzo is an exceptional employer that prioritises innovation and collaboration, making it a fantastic place for a Remote CRM Executive to thrive. With a strong focus on employee growth, we offer a generous learning budget and flexible working hours, ensuring you can develop your skills while maintaining a healthy work-life balance. Our commitment to diversity and inclusion fosters a supportive environment where every team member can contribute to meaningful change in the financial sector.
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We think this is how you could land Senior Analytics Engineer - Data Warehouse & ETL Lead in London
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We think you need these skills to ace Senior Analytics Engineer - Data Warehouse & ETL Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Monzo Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Monzo Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Monzo Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
