Data Platform Engineer, Lendable

• Strong software development, particularly in Python or a similar language
• Solid engineering practices, including automated testing, deployment systems, and configuration as code
• Experience with building data intensive applications and containerised services
• Experience with cloud services such as AWS, GCP, or equivalent (preference for AWS)
• Experience with infrastructure as code, preferably Terraform
• Knowledge of columnar databases, such as Snowflake
• Experience in developing and optimising CI/CD pipelines, with a preference for GitHub Actions
• Excellent communication skills for effective collaboration with business analysts and stakeholders, ensuring technical solutions meet business needs
• Experience with data ingestion tools, like Fivetran

Desirable

• As a Data Platform Engineer, you’ll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost-efficient
• You’ll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources
• You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use
• We want to maximise business value by improving efficiency in our Analytics, enhancing Lendable's competitive advantage through data utilisation
• This means our Data Platform is designed to streamline the efficiency of analysis in extracting insights from data, while also ensuring cost control, compliance, and security
• Develop new tooling for product teams to boost their efficiency
• Work with the wider team in maintaining, evolving and scaling data infrastructure solutions on AWS and Snowflake
• Onboard new ingestion sources and maintain the smooth running and monitoring
• Ensure platform robustness through automated testing and monitoring of data pipelines aligned to the expected scaling of Lendable
• Collaborate with stakeholders to translate business requirements into scalable technical solutions
• Optimise existing CI/CD pipelines for faster cycle times and increased reliability
• Implement security best practices for data management and infrastructure on cloud platforms
• Design and deploy infrastructure as code to manage cloud resources efficiently
• Assist in the troubleshooting and resolution of production issues to minimise downtime and improve user satisfaction

• Call with the talent team
• Take home task
• Tech interview
• CPTO interview