1 to 25 of 57 Permanent Dagster Jobs in the UK excluding London

analytical data modelling Experience integrating messy external APIs and bulk datasets Strong Postgres Experience with a transformation framework ( dbt or SQLMesh ) and an orchestrator ( Dagster , Airflow, Prefect, or similar). Modern Python data tooling; DuckDB for analytical compute. Financial Services/Wealth domain would be ideal but not essential ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code ...

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, Flink … 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 disparate ...

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, Flink … 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 disparate ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...

shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help … engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives ...