26 to 50 of 64 Dagster Jobs in the UK

direct and visible business impact. What You'll Bring Strong programming and database expertise (SQL, Snowflake, Spark or similar). Proven experience with data pipelines/integration tools (DBT, Dagster). Solid understanding of data modelling, architecture, and cloud infrastructure. Exposure to visualization tools (Tableau, Power BI) or Intex is a plus. A proactive mindset with the drive to More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure) Self-motivated and capable of independently delivering production-grade 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 ❯

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 ❯

skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure) Self-motivated and capable of independently delivering production-grade 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

teams to support data-driven features and insights Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Data Engineer and are available for a prompt start; apply More ❯

teams to support data-driven features and insights Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Data Engineer and are available for a prompt start; apply More ❯

Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech Lead and are available for 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

optimize scalable, cloud-based data pipelines and ensure top performance in production environments. Key Responsibilities: Develop and maintain data ingestion and ETL pipelines using Python and tools like Airflow , Dagster , or Prefect Design asynchronous workflows and event-driven architectures with Kafka , RabbitMQ , or similar Optimize performance and reliability of large-scale data systems Automate and monitor data workflows for … with business and product teams to deliver robust, compliant data solutions Requirements: 6+ years of Python development experience focused on data pipelines Expertise with SQL/NoSQL , Airflow/Dagster/Prefect , and message brokers Hands-on experience with Docker , Kubernetes , and AWS/GCP/Azure Strong knowledge of OOP and Agile practices Excellent communication and problem-solving More ❯