1 to 25 of 30 Permanent Dagster Jobs in England

AWS, Azure, GCP) Experience building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It will be nice to have: Software engineering background Exposure to building or deploying AI/ML models into More ❯

AWS, Azure, GCP) Experience building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It will be nice to have: Software engineering background Exposure to building or deploying AI/ML models into More ❯

preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the More ❯

preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the More ❯

or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong knowledge of data orchestration technologies - e.g., Apache Airflow, Dagster, AWS Step Functions Understanding of ETL/ELT workflows, data modeling, and performance optimization for both batch and real-time processing. Commitment to Diversity More ❯

across cloud/on-premises, using Azure and other technologies. Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar. Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing with Spark or More ❯

insurance background. Strong knowledge of SQL and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with More ❯

insurance background. Strong knowledge of SQL and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with More ❯

Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best practices. Experience using Power BI or similar tools for visualisation. Bonus: Familiarity with containerisation More ❯

Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best practices. Experience using Power BI or similar tools for visualisation. Bonus: Familiarity with containerisation More ❯

Databricks. Understanding of common data transformation and storage formats, e.g. Apache Parquet. Good understanding of cloud environments (ideally Azure), and workflow management systems (e.g. Dagster, Airflow, Prefect). Follow best practices like code review, clean code and unit tests. Familiar with version control and Git/GitHub. Understanding of More ❯

systems. You know how to create repeatable and reusable products. Experience with workflow management tools such as Nextflow, WDL/Cromwell, Airflow, Prefect and Dagster Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

retail, or the travel industry Experience designing and analysing large-scale A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science More ❯

pipeline) About you: Strong Python Experience building complex data transformation pipelines Experience with Databricks at scale, preferably experience with Iceberg Experience with Airflow or dagster Experience with AWS & open source technologies on top of dataweave Desirable - Medical data exposure is useful but video/image data, not just tabular More ❯

pipeline) About you: Strong Python Experience building complex data transformation pipelines Experience with Databricks at scale, preferably experience with Iceberg Experience with Airflow or dagster Experience with AWS & open source technologies on top of dataweave Desirable - Medical data exposure is useful but video/image data, not just tabular More ❯

that the list isn’t very long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate More ❯

that the list isn’t very long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate More ❯

the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at More ❯

the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at More ❯

Responsibilities Build the pipelines that put Freetrade's data to work, deploying jobs into our Kubernetes cluster, writing Python code to orchestrate them in Dagster, and modelling the data in our BigQuery data warehouse. Evolve our testing, alerting and quality monitoring capabilities to continuously improve the trust of our More ❯

agency to choose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda, etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident.io. Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte. Other day-to-day Tools: Postman, Notion, Slack, Jira, Github, and more. More ❯

the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS … machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Seasoned More ❯