51 to 75 of 76 Dagster Jobs

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 ❯

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 ❯

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 ❯

and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines … Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/ More ❯

and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines … Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/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 ❯

Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, thats redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial More ❯

Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000–£100,000 Sector: Fintech We’re looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience More ❯

Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000–£100,000 Sector: Fintech We’re looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience More ❯

Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, that’s redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯