5 of 5 Permanent Apache Airflow Jobs in the South West

LGBTQ+ business community. Please do not contact the recruiter directly. About the role: As a Senior Support Engineer for our Data Platform, Snowflake and Apache Airflow, you will be a key part of the St. James's Place(SJP) infrastructure team You will be responsible for ensuring … services we deliver. What you'll be doing: Provide expert-level support to customers using the SJP Data Platform technologies including Snowflake and Apache Airflow. Supporting incident resolution for the platform and proactively monitoring and maintaining it to ensure high level of operational resilience. Appling SJP IT policies ...

ensuring data integrity across every layer Lead the transformation of legacy reporting (Python, SQL, Excel) into a secure,scalableand fully observable platform powered by Apache Airflow (WMAA). Define and publish data quality metrics that drive engineering decisions anddemonstrateplatform health to stakeholders Champion AI and modern data tooling ...

Python for data or platform engineering •Strong proficiency in Linux systems and command-line environments •Experience with MLOps tools such as MLflow, Kubeflow or Airflow •Familiarity with monitoring tools such as Prometheus or Grafana •Experience with containerisation and orchestration (Docker, Kubernetes, Terraform) •Understanding of CI/CD pipelines ...

integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time … robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure reliability and quality Collaborate with engineering teams to deliver robust, maintainable systems Key Requirements: Experience building … Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills and attention to detail Ability ...