9 of 9 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 ❯

and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation technologies ( Docker , Kubernetes ). Understanding of data orchestration tools (e.g., Airflow or Dagster). Knowledge of data warehousing principles and dimensional modelling . Understanding of cloud platforms and infrastructure-as-code (IaC) practices. Awareness of real-time streaming and data quality monitoring 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 Please More ❯

data solutions in agile environments. Experience working with LLM tools (Google Vertex, Azure AI Foundry, OCR) is highly advantageous. Bonus points for experience in fintech or healthcare Tech Stack Dagster · Airbyte · dbt · BigQuery · Cube · Metabase · PostgreSQL · Supabase · LLMs (Google Vertex, Azure AI Foundry, OCR) · TypeScript · Next.js · Tailwind CSS · Node.js · Drizzle · Vercel More ❯

the development of a SCIM-based identity and access management framework across systems Build and maintain observability stacks (Prometheus, Grafana, Datadog, or OpenTelemetry) Partner with Data Engineering to deploy Dagster pipelines and ensure reliability across data and AI workloads Support infrastructure delivery for existing and new enterprise clients, ensuring uptime, integrity, and compliance Lead the technical implementation of ISO More ❯

will need: Solid Python skills and confidence working with APIs and databases. Hands-on experience with integrations (APIs, file transfers, webhooks). Familiarity with workflow orchestration tools (e.g. Temporal, Dagster). Comfortable working with AI-driven coding tools and automated code generation. Knowledge of CI/CD pipelines, containerisation (Docker), and cloud platforms (AWS/Azure/GCP). More ❯

Technical Expertise: Solid experience in Python programming, particularly using data manipulation and processing libraries such as Pandas, NumPy, and Apache Spark. Hands-on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in 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 ❯