Analytics Engineering Manager
Monzo
- London Cardiff
- Permanent
- Full-time
- 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.
- 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
- 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.
- Any experience working within a finance or banking environment
- Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
- Knowledge of regulatory reporting and treasury operations in retail banking
- Experience working with orchestration frameworks such as Airflow/Luigi
- Have previously used dbt, dataform or similar tooling.
- Used to AGILE ways of working (Kanban, Scrum)
- Experience with any of our stack of dbt, BigQuery and Looker
- Recruiter Screening Call
- Initial Call
- Take Home Task
- Final Loop (3 sessions - case study, collaboration and tech leadership)