Mid-level Data Engineer building secure, scalable data infrastructure on AWS for fintech startup TrueLayer. Collaborating with DevOps and Analytics teams to enhance data operations.
Responsibilities
Help design, build, and operate scalable, reliable, and secure data infrastructure on AWS
Focus on data platforms, orchestration, compute, and reliability
Operate production systems, collaborate closely with DevOps and Analytics,
Enable data teams through robust, well-designed infrastructure
Requirements
Technical Knowledge
EMR and Spark
Redshift and S3
Step Functions or equivalent Orchestration Tools
ECS or EKS
Python as the main programming language
Terraform / Infrastructure as Code
Git and CI/CD pipelines
Engineering Practices
Apply engineering principles (KISS, YAGNI, DRY, etc.) when designing data infrastructure or workflow
Apply DevOps and SRE best practices to data systems (monitoring, alerting, automated testing)
Take responsibility for production incidents, troubleshooting, and post-mortems
Continuously improve reliability and performance of data workloads
Collaboration & Enablement
Ability to translate analytics needs into scalable and maintainable platform solutions
Enable self-service analytics through reusable infrastructure components, templates, and tooling
Work closely with Analytics teams and collaborate with DevOps and Cloud Infrastructure teams on shared platform standards
We'd be particularly excited if you have
Familiarity with DBT from an infrastructure and deployment perspective
Experience with cost optimization strategies for data platforms
Experience with GCP
Benefits
Competitive salary and meaningful equity in the company π°
Need to collect the kids from childcare? Love a workout in the gym first thing? No worries, we trust you to do your best work within our hybrid framework π§
A one-off contribution of β¬200 to help you set up your home office πΊ
Flexible holiday policy, with 24 days as standard βοΈ
2 volunteering days to support causes important to you π³
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