14 of 14 Apache Airflow Jobs in the West Midlands

collaboratively Proficiency in multiple programming languages Technologies: Scala, Java, Python, Spark, Linux, shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience with process scheduling platforms like Apache Airflow Open to working with proprietary GS technologies such as Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing, including parallel and cloud More ❯

with multiple languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file More ❯

programming Ability to multitask and manage stakeholders Proficiency in multiple programming languages Technologies: Scala, Java, Python, Spark, Linux, shell scripting, TDD, build tools Experience with process scheduling platforms like Apache Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing and parallel processing Experience with SDLC More ❯

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. 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 ❯

following skills are desired by the client: Experience in public sector environments. 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. If you are interested in this opportunity, please apply now with your 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. Due to the nature and urgency of this post, candidates holding or who have held high level More ❯