• You have experience managing or mentoring the performance and development of high-performing engineers
• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect
• You know what it takes to hire great engineers within the data space
• You’re equally comfortable working hands on and leading a team

Desirable

• Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond
• The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo
• Managers within Data have two primary responsibilities; people and technical product
• 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 be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail
• Be a hands on leader in building a discipline of exceptional analytics and BI engineers, working to make Data at Monzo the gold standard within the industry
• Nurture between 2 and 7 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
• Be hands on through participating 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, be it either hands-on or by leading others

• Recruiter Screening Call
• Initial Call
• Take Home Task
• Final Loop (3 sessions - case study, collaboration and tech leadership)
• Our average process takes around 3-4 weeks but we will always work around your availability