9 of 9 Apache Airflow Jobs in the North West

the success of the data department overall. TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the role you will be hands-on with all these exciting technologies. Many … Nice-to-Have Skills: Experience with both batch and near real-time data pipelines Familiarity with Infrastructure as Code (Terraform) Experience with dbt and medallion architecture patterns Knowledge of Apache Airflow or similar orchestration tools Azure cloud platform experience Why Join TLA? TLA is a fast-moving, innovative digital business that partners with some of the biggest automotive More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding practices (Git, automated More ❯

Data Science. These Are Some Technologies That Our Data Scientists Use (we Don't Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in More ❯

Job Title: Airflow/AWS Data Engineer Location: Manchester Area (3 days per week in the office) Rate: Up to £400 per day inside IR35 Start Date: 03/11/2025 Contract Length: Until 31st December 2025 Job Type: Contract Company Introduction: An exciting opportunity has become available with one of our sector-leading financial services clients. They … to join their growing data engineering function. This role will play a key part in designing, deploying, and maintaining modern cloud infrastructure and data pipelines, with a focus on Airflow, AWS, and data platform automation. Key Responsibilities: Deploy and manage cloud infrastructure across Astronomer Airflow and AccelData environments. Facilitate integration between vendor products and core systems, including data … Establish and enforce best practices for cloud security, scalability, and performance. Configure and maintain vendor product deployments, ensuring reliability and optimized performance. Ensure high availability and fault tolerance for Airflow clusters. Implement and manage monitoring, alerting, and logging solutions for Airflow and related components. Perform upgrades, patches, and version management for platform components. Oversee capacity planning and resource More ❯