6 of 6 Apache Airflow Jobs in the Midlands

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 More ❯

Data Engineer (Python, Data Modelling, ETL/ELT, Apache Airflow, DBT, AWS) Enterprise-scale tech firm Up to £70,000 plus benefits - FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalabale data structures and data pipelines within More ❯

migration projects, particularly large-scale migrations to distributed database platforms. Hands-on experience with big data processing technologies, including Spark (PySpark and SparkScala) and Apache Airflow. Expertise in distributed databases and computing environments. Familiarity with Enterprise Architecture methodologies, ideally TOGAF. Strong leadership experience, including managing technology teams and delivering More ❯

data flow, storage, and processing • Good logical thinking and attention to detail ⸻ 🌟 Nice-to-Have (But Not Required) : • Experience with data pipeline tools like Apache Airflow, DBT, or Kafka • Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory) • Exposure to Spark More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You Hands-on industry experience in some combination of Software Engineering, ML Engineering, Data Science, DevOps, and … necessary. Hands-on industry experience in some combination of the following technologies: Python ecosystem, Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well). A solid understanding of modern security and networking More ❯