51 to 63 of 63 Apache Airflow Jobs in the UK excluding London

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

developing and growing sales of a range of high-quality testing and measurement instruments , used by engineers to assess building performance, air quality, airflow, temperature, pressure and environmental conditions. This role will be primarily office-based , focusing on developing client relationships, managing incoming enquiries and proactively identifying sales opportunities ...

these Experience building data pipelines or data applications Strong skills in Python and/or SQL Familiarity with tools like Spark, Databricks, or Airflow Experience with AWS, Azure, or GCP Strong problem-solving and communication skills What We Offer Competitive salary + progression opportunities Exposure to complex, large-scale … complex data challenges in a high-performance environment, we’d love to hear from you. Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant, High-Impact ...

Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. … Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. ...

financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability … scalability.The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. Working in containerised environments using Kubernetes is a key element also as well as experience across Python/Scala and Java.The role sits within a small Agile delivery team of four engineers ...

deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills … development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material ...

inside IR35 & is fully remote with occasional office meetings in Leeds. Must have SC clearance. Key Skills required: Python AWS Terraform Apache Spark Airflow Docker Gitlab Security Scanning Agents (eg Trivy, Trend Micro, Wiz etc) Jupyter Notebooks If the above sounds like you, please apply now for immediate ...

Senior DataEngineer-RemoteWorking LynxarecurrentlyworkingwithalargeITconsultancytohelpthemsourceaDataEngineer.OurclientislargeglobalConsultancywhoworkwithenterpriseclients,solvingtheirbusinessandtechnologyproblemsusingcuttingedgesolutions. Asa DataEngineer ,youwillplayakeyroleindesigning,building,andmaintainingrobustdataplatformsandpipelines.Youllworkalongsidedatascientists,analysts,andengineerstoensurereliable,scalable,andhigh-qualitydatasolutions. Whatyoullbedoing: Designingandbuildingdatapipelines,models,andarchitectures DevelopingandmaintainingETL/ELTprocessesusingmoderntools Implementingdatastoragesolutionsacrossrelational,non-relational,andcloudplatforms Ensuringdataquality,reliability,andoperationalexcellence Leadingthedesignanddeliveryofnewdataproductsandpipelines Collaboratingcloselywithstakeholdersandtechnicalteams Providingtechnicalleadershipandmentoringwithindeliveryteams Whattherelookingfor: Strongexperienceindataengineeringroles Provenleadershiporlinemanagementexperience ...