1 to 25 of 35 Remote Prefect Jobs

grade data pipelines Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple business systems ...

solutions meet business needs. Experience with data ingestion tools, like Fivetran. Advantageous Exposure to deploying applications with Kubernetes. Experience with Data Orchestrator tools (Airflow, Prefect, etc.). Experience with Data Observability tools (Montecarlo, Great Expectations, etc.). Experience with Data Catalog tools (Amundsen, OpenMetadata, etc.). Benefits Winning team ...

creating. You'll have experience with: AWS and cloud-native technologies Snowflake or similar cloud data platforms Data orchestration tools such as Airflow, Prefect or similar Amazon S3 and modern data architectures Postgres and semi-structured data models Event-driven architectures and scalable systems You'll understand how data enters ...

SENIOR DATA ENGINEER £63k - Hybrid Working (2 days a week in office) - Bridgend, Wales. Your new company The company is a not-for-profit housing association established in 2003 as the first large-scale voluntary ...

failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka … production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting ...

failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka … production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting ...

failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka … production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

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 as a vector store … 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 a natural ...

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems ...

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems ...

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems ...

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems ...

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems ...