Data Platform Engineer

About Lendable 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 most exciting unicorns with a team of over 800 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.

Join us if you want toTake ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

Work in small teams of exceptional people:
Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

About the Role As a Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges, while taking ownership of your own areas of the problem, in a fast-paced environment where no two days look the same. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions.

You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively.

Data Platform sits at the centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security.

Our Modern Tech Stack You’ll work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential:

Languages:

Python, SQL, Terragrunt, Java Script Cloud : AWS (primary), some GCPWarehouse & Storage:
Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra:
Kubernetes, Kafka, RabbitMQ, Argo, Git Hub Actions, Hashi Corp Vault Observability:
Datadog, Grafana Dashboarding:
Preset Other:
Claude What we’re looking for Strong fundamentals and the ability to apply them pragmatically:

Solid programming ability (Python or similar)
Strong experience with Snowflake (or similar warehouses)
Good understanding of software engineering patterns and architectures

Experience building data-intensive systems

Cloud experience (AWS preferred)
Infrastructure as code (Terraform ideally)
CI/CD best practices

Familiarity with modern data architectures (Lambda/Kappa)
Just as importantly, how you work:

A self-starter who takes ownership and drives work forward

Strong problem solver who focuses on understanding before building

Good judgement on build vs buy decisions

Comfortable working in ambiguity and shaping direction

Clear communicator across technical and non-technical audiences

Able to manage multiple streams of work without losing momentum

Pragmatic, balancing speed with scalability and reliability

Actively looks to improve ways of working, including leveraging AI tooling

Interview process

Initial call with Talent team Hiring manager call Technical interview Final interview with VP of Platform Life at…