51 to 59 of 59 Apache Airflow Jobs in the North of England

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are ...

based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using … tools such as Apache Sedona and native Iceberg geospatial functionality. Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams. Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components. Collaborate closely with ...

based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using … tools such as Apache Sedona and native Iceberg geospatial functionality. Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams. Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components. Collaborate closely with ...

Manchester, UK, to develop scalable APIs and manage big data solutions. Candidates should have 8+ years in software or data engineering, with skills in Apache Spark, Airflow, and a strong foundation in Java, Python, or Scala. The role requires collaboration with cross-functional teams to deliver high-quality ...

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 ...

ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets … Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes; Alation experience preferred ...

ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets … Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes; Alation experience preferred ...

ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets … Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes; Alation experience preferred ...

ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets … Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes; Alation experience preferred ...