Senior Data & DevOps Engineer, Drest

• 5+ years of experience in data engineering, including multiple end-to-end pipeline builds
• Solid experience with AWS cloud services, including S3, EC2, Lambda, RDS, Redshift, Glue, and Kinesis, Mongodb, Postgresql
• Proven expertise in Terraform and infrastructure-as-code practices
• Strong SQL and data modeling skills, and experience with both SQL and NoSQL data stores
• Strong understanding of dbt (or equivalent) and Tableau
• Hands-on experience with Python for data processing and automation tasks
• A background working in environments with high throughput data (millions of events per hour)
• Understanding of best practices around security, scalability, and maintainability in cloud-native systems
• Comfort working independently in a fast-paced, highly collaborative environment
• Great communication skills, ability to explain complex systems clearly to technical and non-technical stakeholders
• Familiarity with Docker, Kubernetes, or other container orchestration platforms
• A willingness to be available outside standard working hours when needed to support critical issues or key deliveries

Desirable

• The Senior Data and DevOps Engineer is responsible for the performance, scalability, and reliability of Drest’s data infrastructure and pipelines
• This role ensures the efficient ingestion, transformation, and delivery of high-volume data, while also maintaining robust, cost-effective cloud operations
• As a hands-on engineer, the Senior Data and DevOps Engineer is actively involved in building pipelines, defining infrastructure as code, and supporting critical systems
• Reporting to the Devops Lead Engineer, they work closely with data science, backend, and the platform team to enable high-quality analytics and drive technical excellence across data and infrastructure
• Design, build, and maintain robust data pipelines capable of handling tens of millions of events per day in both batch and real-time processing contexts
• Manage and optimise AWS cloud infrastructure, ensuring high availability, performance, cost-efficiency, and security
• Develop infrastructure-as-code using Terraform, supporting scalable and maintainable infrastructure deployments
• Build and monitor data warehouse solutions (e.g. Redshift), ensuring data is accessible, clean, and well-modelled for analytics and product teams
• Drive system performance and operational excellence by improving observability, uptime, and deployment processes across data and platform systems
• Design, implement and maintain scalable and reliable data pipelines
• Build, optimize and monitor data warehousing solutions with Redshift and other columnar data stores
• Develop infrastructure-as-code using Terraform to provision and manage cloud infrastructure
• Own and manage AWS-based systems, ensuring cost-effective, secure and high-performance operations
• Support and enhance the data and platform stack to ensure uptime, observability, and recoverability of key systems
• Collaborate with engineering and product teams to ensure data needs are met and infrastructure bottlenecks are identified early
• Support analytics and reporting workflows by making data accessible, clean, and well-modeled
• Implement system performance improvements and improve alerting, monitoring and release processes