1 to 25 of 65 Apache Airflow Jobs in the Midlands

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

program supports beginners transitioning into the data domain. Key Responsibilities Learn to design and build data pipelines using tools such as Python, SQL, and Apache Airflow Assist in collecting, transforming, and loading (ETL) data from multiple sources Support data warehousing solutions using platforms like BigQuery, Snowflake, Redshift ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex ...

tools, helping the business make confident, data-driven decisions. Why this role is exciting: • Work in a modern data environment with tools like dbt, Airflow, Python, AWS, Databricks and Looker/BI platforms • Build scalable data models, pipelines and self-serve analytics solutions • Automate processes and improve operational efficiency ...

tools, helping the business make confident, data-driven decisions. Why this role is exciting: • Work in a modern data environment with tools like dbt, Airflow, Python, AWS, Databricks and Looker/BI platforms • Build scalable data models, pipelines and self-serve analytics solutions • Automate processes and improve operational efficiency ...

tools, helping the business make confident, data-driven decisions. Why this role is exciting: • Work in a modern data environment with tools like dbt, Airflow, Python, AWS, Databricks and Looker/BI platforms • Build scalable data models, pipelines and self-serve analytics solutions • Automate processes and improve operational efficiency ...

tools, helping the business make confident, data-driven decisions. Why this role is exciting: • Work in a modern data environment with tools like dbt, Airflow, Python, AWS, Databricks and Looker/BI platforms • Build scalable data models, pipelines and self-serve analytics solutions • Automate processes and improve operational efficiency ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...

Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross ...