Data Platform Engineer — Enable Fast Analytics & AI

Lendable; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working (hybrid)

Social events

Private health cover

Retirement savings plan

Office lunches

Cycle-to-work

Job summary

Lendable is hiring a Data Platform Engineer in the UK to work with senior teammates on complex data challenges, delivering pragmatic, scalable data solutions. You will own your areas, collaborate across product, analytics, and engineering teams, and help shape how the business uses data to drive faster insights while balancing reliability and cost.

You’ll engage with a modern tech stack and contribute to building the platform that supports data-driven decisions across the business, leveraging AI

Qualifications

• 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).

Responsibilities

• Tackle complex challenges and own areas of the problem.
• Collaborate with product, analytics, and engineering teams.
• Enable fast, iterative analytics with reliable, cost-conscious foundations.
• Shape how teams interact with data.
• Deliver pragmatic, scalable solutions.

Skills

Python programming

AWS experience

CI/CD practices

Data architecture understanding

Problem solving

Communication

Tools

Snowflake

Terraform

Kubernetes

Kafka

dbt

Fivetran

Job description

Lendable is hiring a Data Platform Engineer in the UK to work with senior teammates on complex data challenges, delivering pragmatic, scalable data solutions. You will own your areas, collaborate across product, analytics, and engineering teams, and help shape how the business uses data to drive faster insights while balancing reliability and cost.

You’ll engage with a modern tech stack and contribute to building the platform that supports data-driven decisions across the business, leveraging AI