51 to 57 of 57 Dagster Jobs in the UK excluding London

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse … ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...

ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using tools such as Apache … Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Exposure to batch and streaming architectures and understanding ...