About the role
As a Senior Analytics Engineer, you will oversee the data architecture for our UK loans business – Lendable’s original and most established product line. This role is central to maintaining and evolving the data foundations that support one of our most mature and commercially significant offerings. You will take ownership of the data models that underpin credit decisioning, pricing, portfolio performance, and investor reporting. Your work will directly enhance our ability to make smarter, faster lending decisions and drive ongoing optimisation across the loan lifecycle. You will collaborate with analysts, stakeholders, backend engineers, and product teams to continuously improve our Data Warehouse, ensuring it remains a strategic asset for the business. This role also offers the opportunity to influence the broader analytics function by mentoring analysts and shaping the analytical workflows used across the organisation.
What You'll Be Doing
Overseeing the data modelling architecture and implementation for UK Loans.
Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights.
Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills.
Communicating analysts' needs to the data platform team to prioritise our roadmap effectively.
Acting as a liaison between backend engineers and product teams to understand data generation and its significance, while leading the triage of any issues affecting the analytics pipeline.
Contributing to the overall data platform strategy to ensure our features are relevant, impactful, and maintain the highest data quality standards.
What We Offer
Innovative Environment: Work on an early-stage project that sets the foundation for our data future.
Best-in-Class Tools: Access cutting-edge technologies in data engineering, including Snowflake, DBT, and Fivetran.
Collaborative Team: Join a team of passionate experts pushing the boundaries of data engineering at Lendable.
Impactful Work: Experience the direct influence of your contributions on company decisions and outcomes.
Culture of Excellence: Be part of a culture that emphasises quality, innovation, and results.
Diverse Projects: Engage in a variety of projects, ensuring continuous challenges and engagement.
What We Are Looking For
Strong proficiency in data modelling and a deep understanding of data analysis.
Strong experience with ELT, focusing on transformations at scale, preferably with DBT
Extensive experience with Snowflake or alternative data warehouses.
Ability to independently identify and implement opportunities for improving the efficiency and cost-effectiveness of our data transformation pipeline.
Capacity to balance long-term platform improvements with daily operational needs.
Able to upskill and mentor non-technical colleagues in analytics engineering.
Strong communication skills for effective collaboration with business analysts and stakeholders, translating business requirements into technical solutions.
Interview Process
Stage 1 quick phone call with someone in our Talent team (30 minutes)
Stage 2 take-home SQL test (approximately taking 2 hours, to return within a week)
Stage 3 peer interviews to assess technical skills and business insight (90 minutes)
Stage 4 final interview with our CTPO (30 minutes)
