Data Platform Engineer

Overview

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)
• Self-starter with ownership
• Strong problem solving
• Good judgment on build vs buy decisions
• Python
• SQL
• Terragrunt

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