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Join a leading bank's Analytics Engineering team to build a data-driven culture. As a hands-on leader, you'll mentor engineers, manage projects, and implement best practices in data governance. Enjoy flexible hours, a competitive salary, and a supportive work environment.
Our Analytics Engineering team
Our goal in Growth and Marketing is to build Monzo into a global brand people love. We find exciting new ways to attract and engage customers, creating features and initiatives that generate buzz. We also focus on effective communication strategies with our customers, determining what products to promote and when. Data plays a crucial role in all our activities, and this role will lead the team ensuring our Growth and Marketing teams can leverage data to make informed decisions.
Our Analytics Engineering discipline operates at the intersection of data, engineering, and our core collectives—Money, Borrowing, Operations, Financial Crime, and beyond.
The AE teams build downstream data models from backend services, aiming to make our Data Warehouse a competitive advantage. We seek a discipline capable of creating a reliable, scalable, and cost-effective Data Warehouse that supports decision-making with high performance.
Managers within Data have two main responsibilities: people management and technical product development. Your focus will be on supporting engineers' growth, guiding them through challenges, and celebrating successes. You will also lead and participate in technical initiatives, shaping the Data organization to focus on valuable work, ensuring quality and attention to detail.
There will be a strong emphasis on implementing best practices across our data disciplines and enhancing Data Governance principles in collaboration with others.
Working in a multi-disciplinary team, you will:
We’d love to hear from you if…
You have experience managing or mentoring high-performing engineers, with strong expertise in data warehousing architecture at scale, and a passion for leading data projects such as warehousing, visualization, big data, or ETL. You also know how to hire great data engineers and are comfortable working both hands-on and in a leadership capacity.
Nice To Haves:
Not ticking every box? That’s okay! We value diversity and encourage applicants from all backgrounds, especially women and people of color, to apply—even if you don’t meet every requirement. If you’re passionate about this role, we’d love to hear from you.
What’s in it for you
Salary: £97,800 - £120,000
We support relocation to the UK and can sponsor visas.
The role is based in London or can be remote within the UK with occasional in-person meetings.
Flexible hours, a £1,000 annual learning budget, work-from-home setup support, and more benefits. Read our full list of benefits.
The application process includes:
This process typically takes 2-3 weeks. For guidance on AI use in applications and interviews, read our guidelines here. Questions? Contact us at tech-hiring@monzo.com. We’re committed to accessibility and inclusivity, so please let us know if we can support you.
For more insights into the AE team, listen to our podcast with Senior Leader John Azzopardi.
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