Senior Software Engineer (Data)

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 newest unicorns with a team of just over 700 people

• Among the fastest-growing tech companies in the UK

• Profitable since 2017

• Backed by top investors including Balderton Capital and Goldman Sachs

As a Senior Software Engineer (Data), 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.

This is a non-exhaustive list of the activities you would engage with in the role:

1. Develop new tooling for product teams to boost their efficiency

2. Work with the wider team in maintaining, evolving and scaling data infrastructure solutions on AWS and Snowflake.

3. Onboard new ingestion sources and maintain the smooth running and monitoring.

4. Ensure platform robustness through automated testing and monitoring of data pipelines aligned to the expected scaling of Lendable.

5. Collaborate with stakeholders to translate business requirements into scalable technical solutions.

6. Optimise existing CI/CD pipelines for faster cycle times and increased reliability.

7. Implement security best practices for data management and infrastructure on cloud platforms.

8. Design and deploy infrastructure as code to manage cloud resources efficiently.

9. Assist in the troubleshooting and resolution of production issues to minimise downtime and improve user satisfaction.

• Exposure to deploying applications with Kubernetes.

• Experience with Data Orchestrator tools (Airflow, Prefect, etc.)

• Experience with  Data Observability tools (Montecarlo, Great Expectations, etc.)

• Experience with  Data Catalog tools (Amundsen, OpenMetadata, etc.)

Interview Process

• Call with the talent team

• Take home task

• Tech interview

• CPTO interview

• Winning team: the opportunity to scale up one of the world’s most successful fintech companies

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

• Health coverage: support for your physical and mental wellbeing, including private health cover

• Retirement & savings: long-term financial wellbeing through retirement savings plans

• Employee referral programme: earn a competitive bonus when you refer successful new team members

• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

• Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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