About the Role
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.
What will you be doing?
- 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 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.
What we're looking for
- 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.
Advantageous
- 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.).
Benefits
- 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.