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 700 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

We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible.

This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work.

No two days look the same here.

We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you.

You’ll work with a modern data stack centred around Snowflake, dbt and Python.

We’re looking for someone with strong technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products.

More specifically, we’re looking for:

• Experience working with SQL/Snowflake or other modern data platforms

• Strong, modern Python development experience.

• Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services

• A collaborative working style and clear communication across technical and non-technical stakeholders.

• A keen desire to want to learn and input into a highly collaborative team

• If you’ve worked in a cross functional environment, it would be a plus but not needed

• A quick phone call with one of the team

• A short coding exercise to complete in your own time

• Technical Video Interview for 60 mins

• Culture interview for 30mins

• Final Interview

• Winning team: the opportunity to scale up one of the world’s most successful fintech companies

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

• Health coverage: support for your physical and mental wellbeing, including private health cover

• Retirement & savings: long-term financial wellbeing through retirement savings plans

• Employee referral programme: earn a competitive bonus when you refer successful new team members

• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

• Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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