Key skills
AWSAzureCloudGoogle Cloud PlatformSQLTerraformMLOpsdbtGCPGoogle CloudServerlessLambdaCloud RunCaching
About this role
Role Overview
- Build data pipelines
- Design and orchestrate near real-time data ingestion from client databases (CDC, AWS DMS, GCP Datastream, Azure Data Factory/Fabric, etc.)
- Define and implement a single source of truth for key fashion KPIs using SQL and transformation tools (dbt, Dataform, etc.)
- Architect caching and performance layers to support fast, reliable dashboards across 300+ clients
- Design and maintain serverless APIs (e.g. Lambda, Cloud Run)
- Evaluate, ingest, and integrate new third-party data sources alongside existing datasets
Requirements
- Experience building and owning data platforms or products from scratch, including making architectural decisions
- Expert-level SQL and strong experience modelling complex business domains
- Proven ability to design scalable data systems in a cloud-native environment (AWS, GCP, or similar)
- Comfortable making independent technical decisions within a product context, balancing speed, quality, and long-term maintainability
- Strong product thinking/product engineering mindset
- Experience with Infrastructure as Code (Terraform or CDK)
- MLOps experience is a plus
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- SQL
- Terraform
Benefits
- Flexible working arrangements
- Professional development opportunities