1 to 25 of 42 Dagster Jobs in the UK excluding London

within your pipelines Experience in the following areas is not essential but would be beneficial: Data Orchestration Tools: Familiarity with modern workflow management tools like Apache Airflow, Prefect, or Dagster Modern Data Transformation: Experience with dbt (Data Build Tool) for managing the transformation layer of the data warehouse BI Tool Familiarity : An understanding of how BI tools like AWS More ❯

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 ❯

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 ❯

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 ❯

/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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial 6-month contract Hybrid - 1 day per week on-site in London Competitive 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯