Data Engineer
Summary
Builds and optimizes the data foundations of an AI-powered SaaS platform: developing SQL and Python data pipelines, implementing ETL across operational and analytical layers, and managing cloud infrastructure on AWS, Azure, or GCP with CI/CD, while ensuring data quality, monitoring, and production readiness.
In this role you will help build and optimize the data foundations behind an AI-powered SaaS platform. You will work across data pipelines, ETL, and cloud-enabled infrastructure to support AI capabilities for multiple business domains. You’ll collaborate with AI engineers, analysts, and product teams to deliver reliable data products and production-ready outputs. The role offers a clear path to seniority and a strong engineering culture with close teamwork in London.
Responsibilities- Build and optimize SQL and Python data pipelines
- Implement ETL across operational and analytical layers
- Manage data quality, lineage, and metadata
- Ensure monitoring, reliability, and production readiness
- Bring AI/ML outputs into production
- Collaborate with AI engineers, analysts and product teams
- Work with AWS, Azure and GCP in a CI/CD-enabled environment
- Around 1+ years' experience in Data Engineering or a Platform role
- Strong SQL and Python
- Some cloud experience
- Exposure to CI/CD
- Collaborative mindset
- Team-oriented approach
- Willingness to learn and grow with the platform
- SQL
- Python
- Cloud (AWS, Azure, GCP)