Remote Analytics Engineering Manager

Salary: £65,000 - 105,000 per year

Requirements

• We have experience managing or mentoring the performance and development of high-performing engineers.
• We have strong experience in data warehousing architecture at scale.
• We have experience and a passion for leading data warehousing, data visualisation, big data, or ETL projects as an analyst, developer, designer, or architect.
• We know what it takes to hire great engineers within the data space.
• We are equally comfortable working hands on and leading a team.
• Nice to have: experience working within a finance or banking environment.
• Nice to have: experience working in a highly regulated environment such as finance, insurance, gaming, food, or healthcare.
• Nice to have: experience with dbt, BigQuery, and Looker.

Responsibilities

• We will lead and nurture a team of 5 to 6 analytics engineers through coaching, support, regular 1:1s, and continuous feedback.
• We will be a hands-on leader building a discipline of exceptional analytics engineers and raising the standard of data at Monzo.
• We will help prioritise initiatives and projects, working closely with other leads across our collectives.
• We will participate in reviews, architecture and design leadership, and development of our own pipeline changes.
• We will contribute to hiring within Analytics Engineering.
• We will work with other leads to deliver scalable, consistent governance and best practices.
• We will drive effective project management of central Analytics Engineering projects, ensuring delivery to scope and deadlines.
• We will act as a trusted partner to collectives and the leadership team, working hands on or through others to get things done.
• We will support and own the pipelines we contribute to, including occasional out-of-hours on-call support.

Technologies

• Architect
• Big Data
• BigQuery
• ETL
• Support
• Looker
• MacBook
• dbt
• AI
• Backend
• Data Warehouse

More

We are Monzo, and our Core Banking mission is to make everyday money work for everyone. Our Core Analytics Engineering team supports the current account used by over 12 million users and builds day-to-day money management features such as Trends, Salary Sorter, Bills Pots, Joint Accounts, Under 16 accounts, and Subscriptions. We are growing toward 20 million customers and work at the intersection of data, engineering, and our collectives across Core, Money, Borrowing, Operations, Financial Crime, and beyond. This role can be based in our London office or remotely within the UK, with ad hoc meetings in London. We offer flexible working hours, visa sponsorship, UK relocation support, a £1,000 annual learning budget, and a home-working setup including a MacBook and additional support for fully remote employees. The application journey has four stages and typically takes 2 to 3 weeks.

last updated 28 week of 2026