Senior Analytics Engineer

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 600 people

• Among the fastest-growing tech companies in the UK

• Profitable since 2017

• Backed by top investors including Balderton Capital and Goldman Sachs

• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About The Role

As a Senior Analytics Engineer, you will oversee the data architecture for our Zable App business – used by over 1 million customers on iOS and Android. This role is central to maintaining and evolving the data foundations to support growth on our Zable App, as we launch new products. You will take ownership of the data models that underpin customer acquisition, marketing spend effectiveness, product performance, and user engagement across the app. 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 the Zable app

• Proactively identifying opportunities to improve model performance, cost efficiency, and reliability.

• Partnering closely with marketing and product teams to translate business goals into robust models and actionable insights.

• 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 business acumen, with the ability to understand commercial drivers and ensure data solutions align with broader product and business goals

• 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 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 CTO (45 minutes)

• The opportunity to scale up one of the world’s most successful fintech companies.

• Best-in-class compensation, including equity.

• You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.

• Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.

• We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

• We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

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