23 of 23 Apache Airflow Jobs in the West Midlands

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data … or Informatica Cloud Solid understanding of data extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and … Manage and optimize data flows between Salesforce Health Cloud and Informatica Perform infrastructure-level troubleshooting using SSH and virtual machine access Ensure high-quality data migration and integration into Airflow-managed pipelines Support AWS-based data operations and contribute to multi-cloud data management Collaborate with infrastructure and application teams to maintain seamless operations Analyze and validate data transformations More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

generation systems, Familiarity with MLOps, including Docker, CI/CD, or model deployment in cloud environments, Exposure to cloud platforms (Azure, GCP, AWS) and data tools such as MLflow, Airflow, Databricks, Previous consulting or client-facing experience, Contributions to open-source or technical publications a plus. Being You Diversity is a whole lot more than what we look like More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

common life sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an More ❯

analytics, data science, mathematics, statistics) Nice to haves/Bonus Points (Preferred Requirements): Prior experience in technology industry Behavioral science experience Ability to build custom data assets using DBT & Airflow At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We also offer employees equity in Fetch, so that everyone can benefit from More ❯

Senior Data Engineer Hybrid/remote - North-West based £65-80,000 + Bonus + Benefits Are you a data enthusiast eager to work on innovative solutions that impact millions? We're looking for an experienced Senior Data Engineer to More ❯

with multiple languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file More ❯

multiple programming languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file More ❯

with multiple languages • Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in GS proprietary technology like Slang/SECDB • An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory More ❯

skills Proficiency in multiple programming languages Technologies: Scala, Java, Python, Spark, Linux, shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience with process scheduling platforms like Apache Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing frameworks like DASK and cloud processing More ❯