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Build the data systems companies make decisions with.
Open roles
Data Engineer
Build and run the data pipelines and warehouses our AI systems depend on, on Google Cloud (BigQuery, Dataflow, Pub/Sub and Cloud Composer): getting client data in, cleaned, modelled and ready for analytics and models.
What you will do
- Build batch and streaming pipelines with Dataflow, Pub/Sub and Cloud Composer
- Design and model data in BigQuery for analytics and AI workloads
- Bring client sources such as CRMs, ERPs and databases into one trusted data layer on GCP
- Keep pipelines reliable, tested and cost-efficient as data grows
What we are looking for
- Hands-on production experience with Google Cloud data services: BigQuery and at least one of Dataflow, Dataproc or Composer
- Strong SQL and Python
- Solid grasp of data modelling, partitioning and pipeline orchestration
- A GCP Professional Data Engineer certification is a plus
Full-Stack Engineer
Build the products and interfaces that put AI in front of real users: portals, internal tools and the APIs and integrations behind them.
What you will do
- Build web apps and APIs that wrap AI features into everyday workflows
- Design streaming, review-and-approve and fallback interfaces
- Integrate with CRMs, ERPs and other client systems
- Ship and maintain what you build in production
What we are looking for
- Strong React and TypeScript, plus a backend language you know well
- Experience with relational databases and API design
- Care for performance and accessibility on real devices
- Interest in working with LLMs, with or without prior experience
DevOps Engineer
Own the path from commit to production: CI/CD, containers, observability and incident response for the systems we build and run for clients.
What you will do
- Build and maintain CI/CD pipelines across client projects
- Run containerised workloads on Kubernetes
- Set up monitoring, alerting and logging that people actually use
- Harden environments and automate routine work away
What we are looking for
- Production experience with Docker, Kubernetes and Terraform
- CI/CD tooling such as GitHub Actions, GitLab CI or Cloud Build
- Observability with Prometheus, Grafana or similar
- Comfort being the calm person during an incident
Don't see a fit? We are always glad to hear from strong engineers.
Send a general application.
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Include the role, your CV or LinkedIn, GitHub or portfolio, location and something you built.