At a Glance
- Tasks: Lead a team of analytics engineers to build exceptional data solutions for millions of users.
- Company: Join Monzo, a forward-thinking bank transforming everyday money management.
- Benefits: Competitive salary, flexible hours, learning budget, and remote work options.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
- Why this job: Make a real impact in the finance industry while developing your leadership skills.
- Qualifications: Experience in managing engineers and strong data warehousing knowledge.
The predicted salary is between 97800 - 125000 £ per year.
Our Core Analytics Engineering Team's goal in Core Banking is to make everyday money work for everyone. We're responsible for the current account used by over 12 million users, creating day-to-day money management experiences, including features like Trends, Salary Sorter, Bills Pots, and more. We build functionality for different audiences, including Joint Account users and Under 16 year olds. Our team also builds Subscriptions, our paid upgrades that unlock extra benefits and functionality to help our customers make financial progress. We're gearing up for our next phase of growth to 20 million customers.
Our Analytics Engineering discipline works at the intersection of data, engineering, and our collectives - Core, Money, Borrowing, Operations, Financial Crime, and beyond. The AE teams are responsible for building downstream data models from backend services with the aim of making our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision-making in a cost-effective and performant manner.
Managers within Data have two primary responsibilities: people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times, and celebrating their successes. You will also lead and participate directly in technical initiatives, helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with care and attention to detail.
There will be a strong focus on delivering best practices across our data discipline and helping bring a new level of maturity around Data Governance principles, working collaboratively with others to deliver this.
You'll play a key role by working in a multi-disciplinary team, where you will:
- Be a hands-on leader in building a discipline of exceptional analytics engineers, making Data at Monzo the gold standard within the industry.
- Nurture between 5 to 6 analytics engineers, supporting, coaching, and developing high-performing engineers through regular 1:1s, continuous feedback, and relationships with others.
- Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
- Participate in the review cycle, architecture and design leadership, and development of your own changes to the pipelines.
- Be part of the hiring team within Analytics Engineering.
- Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
- Drive effective project management of central Analytics Engineering projects, ensuring they're well scoped and delivered to deadlines.
- Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, either hands-on or by leading others.
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 experience managing or mentoring the performance and development of high-performing engineers, strong experience in data warehousing architecture at scale, and a passion for leading data warehousing, data visualisation, big data, or ETL projects as an analyst, developer, designer, or architect. You should know what it takes to hire great engineers within the data space and be comfortable working hands-on while leading a team.
Nice To Haves:
- Any experience working within a finance or banking environment.
- Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
- Experience with any of our stack of dbt, BigQuery, and Looker.
Not ticking every box? That's totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we're dedicated to creating a diverse and welcoming team. If you're passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don't have everything that's listed just yet.
What's in it for you:
- £97,800-£125,000
- We'll help you relocate to the UK.
- We can sponsor your visa.
- 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, 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.
The application journey has 4 key steps:
- Recruiter Screening Call
- Initial Call
- Take Home Task
- Final Loop (3 sessions - case study, collaboration, and people leadership)
This process should take around 2-3 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.
For more insight into the AE team at Monzo, check out our podcast with John Azzopardi, one of our Senior Leaders in AE.
