76 to 100 of 199 Permanent Apache Airflow Jobs

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

staff to build long-term architectural capability. Preferred Tech Stack Expertise Google Cloud Platform (BigQuery, Cloud SQL, Cloud Storage, Cloud Composer), Dataplex, Dataform, PostgreSQL, Apache Airflow, Terraform, API integrations, data modelling and warehousing principles Responsibilities Define and maintain target data architecture aligned to strategic objectives Design secure ...

Infrastructure as code: Terraform Containerisation and orchestration: Docker, Kubernetes Source control and CI/CD: GitHub, GitHub Actions Languages: Python Data technologies Workflow orchestration: Apache Airflow Data transformation: dbt Metadata, cataloguing and lineage: DataHub Data access governance: AWS IAM, AWS Lake Formation Development environments : Kubernetes-orchestrated development environments ...

Infrastructure as code: Terraform Containerisation and orchestration: Docker, Kubernetes Source control and CI/CD: GitHub, GitHub Actions Languages: Python Data technologies Workflow orchestration: Apache Airflow Data transformation: dbt Metadata, cataloguing and lineage: DataHub Data access governance: AWS IAM, AWS Lake Formation Development environments : Kubernetes-orchestrated development environments ...

technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer will be joining a company whose platform has been ...

technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer will be joining a company whose platform has been ...

directly with clients in a consultative, solution-shaping capacity. * Experience leading or growing technical teams. * Exposure to AWS, automation tools and orchestrators such as Airflow or Dagster. * Understanding of machine learning or predictive analytics, even at a conceptual level. * Experience across multiple industries; familiarity with the music industry ...

outcomes Experience in startups, scale-ups, or consultancies is helpful — but not required. Nice to Have (Not Required) Experience with tools like Databricks, dbt, Airflow, or similar platforms Some exposure to API development or backend systems Experience integrating enterprise systems (ERP, CRM, operational platforms) Familiarity with dashboards or data ...

outcomes Experience in startups, scale-ups, or consultancies is helpful — but not required. Nice to Have (Not Required) Experience with tools like Databricks, dbt, Airflow , or similar platforms Some exposure to API development or backend systems Experience integrating enterprise systems (ERP, CRM, operational platforms) Familiarity with dashboards or data ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...

experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol ...