5 of 5 Dagster Jobs in Cambridgeshire

production data pipelines within regulated environments Experience implementing data validation and quality checks in production pipelines Experience with automation/orchestration tools, such as Dagster and cloud infrastructure on AWS Strong collaboration skills and attention to detail, with the curiosity to understand where data comes from ...

analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive biomedical or clinical data. Identity platforms and federation technologies such as Entra ...

vision, optimisation or electronics. Stack Agents: Claude Code, Codex, Claude and OpenAI APIs, MCP, skills in plain Markdown Code: TypeScript (Bun, React), Python (FastAPI, Dagster, OpenCV, OR-Tools), PostgreSQL Infra: Nix and NixOS, Nomad, Terraform, Vault, AWS, Modal sandboxes, OpenTelemetry Pay UK £80k-£125k US $125k-$250k, depending ...

Data Scientists Design, build and maintain reproducible data pipelines that combine imaging biomarkers and clinical data, building on the Data Engineering team’s existing Dagster study pipelines, analytics workflow libraries and Qureight platform Build and test pipelines against dummy or interim data before database lock, and deliver CDISC formats … production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including statistical modelling and machine learning and of how clinical trial ...