8 of 8 Remote Apache Airflow Jobs in the West Midlands

data extraction, transformation, analysis, and process automation Hands-on experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS) Proficient in Data Engineering and Orchestration tools such as Apache Airflow, Glue or Dataform Skilled in creating impactful data visualisations using Tableau, Power BI or Python Background in engineering sectors such as automotive, aerospace, or transport BENEFITS This More ❯

support data needs Optimise data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and More ❯

of engineers, and work closely with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data. Define and enforce best practices in More ❯

in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch as Data Factory, Airflow, andNiFi. Knowledge of version controlsystems such as Git. Ability to analyse problems anddesign better solutions. A familiarity with agile projectmanagement processes such asScrum Desirable requirements: Formal Data & Analyticsqualification e.g. More ❯

with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary teams. The successful candidate will also need to be SC Vetted. More ❯

with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary teams. The successful candidate will also need to be SC Vetted. If you are interested in this position More ❯

execution. Ability to work under pressure and manage competing priorities. Desirable Qualifications: Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. The successful candidate will also need to be SC Vetted. All profiles will be reviewed against the required skills and experience. Due More ❯

execution. Ability to work under pressure and manage competing priorities. Desirable Qualifications: Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. The successful candidate will also need to be SC Vetted. All profiles will be reviewed against the required skills and experience. Due More ❯