10 of 10 Apache Airflow Jobs in the City of London

will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic … through to validated delivery Architect and build the Claude Code agentic workflow: Parse existing data movement pipelines and logic Generate equivalent PySpark transformations Produce Airflow DAGs Operate, iterate, and scale across the full data pipeline estate Ensure rigorous creation and management of the PySpark data processing layer within ...

working in secure, regulated, or complex enterprise environments Exposure to large-scale data platforms or transformation programmes Knowledge of tools such as Spark, Databricks, Airflow, or similar Experience in consulting or client-facing delivery environments Security Requirements Must be a sole UK citizen Must be eligible for Security Clearance ...

data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling ...

times series data, they use TimescaleDB but other experience with similar platforms is fine You have experience with Orchestration platforms such as Dagster or Airflow You're collaborative with great communication skills What's in it for you: Salary to £120k + bonus X3 weeks per year work anywhere ...

Experience working within cloud environments (AWS or Azure) Strong SQL skills and experience working with large-scale datasets Familiarity with orchestration tools such as Airflow or similar Good understanding of data modelling and distributed data processing concepts Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer ...

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 ...

integration patterns and data pipeline design Desirable • Exposure to data governance frameworks and tooling (e.g. Collibra) • Experience with orchestration platforms such as Astronomer/Airflow • Knowledge of enterprise data architecture practices, including metadatamanagement and lineage ...

they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure … decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity ...

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). ...

high-impact, early-stage business £100K plus equity in a well-funded Series A start-up. Own and shape a GCP data platform (BigQuery, Airflow, dbt). Real progression into a future leadership role. We’re working with an early-stage, well-funded tech-led start-up. They … production-ready systems that scientists can trust and use daily. You’ll manage and extend a GCP-first platform, working with tools like BigQuery, Airflow, dbt, and and so much more. Sound like you? What experience you’ll need to apply Strong Data Engineering experience in a cloud environment ...