About the role
We're looking for a Senior Analytics Engineer to own the analytical foundation for our US Loans team, the fastest-growing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You’ll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business.
What you'll be doing
Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation.
Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer.
Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data.
Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively.
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
Scaling our data infrastructure to proactively support the requirements of a rapidly growing business.
Our modern data stack
You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.
What we're looking for
We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment.
More specifically, we’re looking for:
Essential:
Strong SQL skills
Strong experience with ELT pipelines and transformation at scale, using dbt.
Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
Good judgement in balancing longer-term platform improvements with day-to-day business needs.
The ability to spot inefficiencies in existing data workflows and improve them independently.
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.
Desirable:
Experience with Snowflake or another modern cloud data warehouse.
An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.
Fintech or scale-up experience
Interview process
Initial call with an engineer
15 minute Cognitive Assessment
Onsite or Video Interview lasting 90 minutes, comprising of:
Introduction of the team and kind of work you could be doing daily
Interactive architecture/design exercise
Questions you may have about the company, role, etc.
A 60 minute chat with this role's primary stakeholders
Cultural/behavioural questions
Product mindset and ability to collaborate and communicate
