10 of 10 Dagster Jobs in the Thames Valley

preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯

/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of streaming data processing and real-time analytics Experience with More ❯

solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯

recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯

pytest), Git, CI/CD - Clear technical writing/documenting Desirable: - Familiarity with cloud environments (ideally AWS) - Familiarity with containerisation - Familiarity of workflow management systems (e.g. Snakemake, Nextflow, Airflow, Dagster) Start ASAP | Competitive compensation package Please share your CV to cristiana@mitrabio.tech More ❯

production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving environment. More ❯

SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data … hands-on engineer who enjoys building reliable, scalable data systems and enabling smarter business decisions, we’d love to hear from you. Keywords: SQL/BigQuery/Airflow/Dagster/Terraform/IAC/DataOps/Infrastructure/Platform Engineer/Data Engineer More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯