As a Data Platform Engineer at Lendable, you will address complex data challenges and own areas of the platform in a fast-paced setting. You’ll collaborate with product, analytics and engineering teams to enable fast, iterative analytics, while maintaining reliability, cost control and security. The role sits at the center of the data-driven business, shaping how teams interact with data. This is an impactful opportunity to help scale a leading fintech platform with pragmatic, scalable solutions.
Pay / Benefits
flexible working
health coverage
retirement & savings
employee referral programme
office meals & snacks
cycle-to-work / electric vehicle schemes
Responsibilities
Own and tackle defined areas of the data platform, delivering pragmatic, scalable solutions
Collaborate with product, analytics and engineering to gather context and align stakeholders
Contribute to building a reliable, cost-aware data infrastructure with strong security foundations
Enable fast, iterative analytics from idea to insight
Work across a broad tech stack and adapt to evolving requirements
Key requirements
Solid programming ability (Python or similar)
Strong experience with Snowflake (or similar warehouses)
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)
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