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About the Role

Analytics Engineering is central to building data that enables Monzo to make faster, better decisions through a performant, scalable, and high-quality data warehouse. You will collaborate with product, engineering, and data science teams, participating in knowledge-sharing sessions to learn about data modeling, banking operations, and effective communication.

Responsibilities

• Build downstream data models from backend services to enhance the Data Warehouse as a competitive advantage.
• Support the creation of robust data models (primarily in BigQuery) for internal reporting, machine learning, and financial/regulatory use cases.
• Optimize the Data Warehouse to reduce complexity and cost.
• Define and manage Data Warehouse best practices, including payload design, logical data modeling, implementation, metadata, and testing standards.
• Establish and implement data standards and working methods across Monzo in collaboration with other teams.
• Apply established best practices and standards to other business areas.
• Monitor and improve data quality within the warehouse by collaborating with colleagues from other disciplines.
• Contribute to the prioritization of data governance issues.
• Own and support contributed pipelines, including expected out-of-hours on-call support.

Requirements

• Enjoy working with cross-functional, fast-moving teams and have a passion for serving small businesses.
• Ability to think strategically about the Business Banking product and how data models can drive insights and customer value.
• Strong passion for data modeling, ETL projects, and Big Data.
• Experience working with data streams from various services (financial, transactional, operational).
• Proficiency in SQL and data modeling, with a solid understanding of Data Warehousing concepts.
• Commitment to continuous improvement, proactively identifying and addressing challenges.
• Experience with dbt, dataform, or similar tooling.
• Familiarity with AGILE ways of working (Kanban, Scrum).

Skills

• SQL
• Data Modeling
• ETL
• Big Data
• Data Warehousing
• dbt
• dataform
• AGILE
• Kanban
• Scrum
• Python
• Go
• Airflow
• Luigi

Location

• London
• Cardiff
• UK Remote

Work Type

• Remote
• Distributed working within the UK

Experience Level

• Mid-level
• Senior

Salary/Compensations

• £76,500-£95,000

Benefits

• Incentive Awards tied to performance
• Relocation assistance to the UK
• Visa sponsorship
• Flexible working hours
• Learning budget of £1,000 per year
• Full list of benefits available

About the Company

• Monzo is on a mission to make money work for everyone, moving away from traditional banking complexities.
• Founded 10 years ago, Monzo has expanded from a prepaid card to offering personal and business accounts, joint accounts, accounts for 16-17 year olds, kids accounts, credit cards, savings, investments, and pensions in the UK.
• Known for hot coral cards, get-paid-early features, financial education on social media, and award-winning customer service.
• Focuses on solving problems and changing lives through its products.

Equal Opportunity

• All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
• Monzo fosters an inclusive environment for all people to do their best work.
• Provides support for all employees to grow.