We're looking for an Engineering Manager to join our Analytics Engineering & Business Intelligence team.

Analytics Engineering and Business Intelligence work under the same umbrella at the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime. Both Analytics Engineering and BI work to set standards and operate as a centre of excellence, team members also embed within specific areas to provide engineering support, operating on a rotational basis.

We're creating a team capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. To do this, engineers within the team build data models and visualisations from backend services, working within small domain driven squads.

We're looking for a leader to grow and develop our Analytics Engineering and Business Intelligence talent, cultivate high-performing teams and coordinate larger initiatives. As part of this you'll have the opportunity to guide engineers across various areas of the business, helping shape a number of areas. We think Analytics Engineering and data visualisation go hand in hand, so we're looking for someone interested in mentoring engineers and guiding direction across both areas.

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 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.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our Data Warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

Our Technology stack

We rely heavily on the following tools and technologies (we do not expect applicants to have prior experience of all them):

  • Google Cloud Platform for all of our analytics infrastructure
  • dbt and BigQuery SQL for our data modelling and warehousing
  • Looker for surfacing and exploring our data
  • Python for data science
  • Go to write our application code
  • AWS for most of our backend infrastructure

The Role

Working in a multi-disciplinary team, you will:

  • Be a key 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 5 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 part of the hiring team within the Analytics Engineering and Business Intelligence group.
  • Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
  • Drive effective project management of central Analytics Engineering & BI 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.

You Should Apply If

  • You have experience managing or mentoring the performance and development of high-performing engineers.
  • 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.

Nice To Haves

  • Any experience working within a finance function or knowledge of accounting.
  • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).
  • Knowledge of regulatory reporting and treasury operations in retail banking
  • Exposure to Python, Go or similar languages.
  • 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)

Logistics

  • We can help you relocate to London & we can sponsor visas.
  • This role can be based in our London office or remotely within the UK
  • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
  • Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
  • If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
  • The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by 3-4 video interviews. We promise not to ask you any brain teasers or trick questions.

Equal Opportunity Statement

At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.

We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

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