5 of 5 Remote/Hybrid Apache Airflow Jobs in the City of London

environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high … commercial experience developing data engineering solutions using Python . Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark/PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience ...

organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance ...

Strong hands‐on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast‐paced fintech or technology environment A collaborative leadership style with the ability ...

Strong hands-on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast-paced fintech or technology environment A collaborative leadership style with the ability ...

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). ...