1 to 25 of 28 Apache Airflow Jobs in Yorkshire

approach, that converges our product capabilities and opening new possibilities using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt Cloud, watsonx, Kafka, Kubernetes (EKS and AKS), Red Hat Open Shift, plus others.) thus ensuring we can … core object-oriented concepts with good knowledge of Java, Web services, JavaScript, Json, XML, JDBC, and other related technologies. Experience in data and orchestration tools including some of dbt, Apache Airflow, Azure Data Factory. Experience with unit testing in a variety of languages and tools. Perhaps experience of Junit, NUnit, XUnit and Jest, along with experience of associated More ❯

Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like Apache Airflow and dBt (Data Build Tool) Familiarity with CI/CD tools (e.g. Azure DevOps – Preferred, Jenkins) and experience integrating automated tests into pipelines. Experience with cloud platforms … for developing test automation scripts and frameworks. Proficiency with automation testing frameworks (Cucumber, Gherkin, TestNG, or similar) for data testing workloads. Knowledge of performance testing and load testing tools (Apache JMeter or Gatling) Experience: Proven track record in supporting and improving test processes in data-related projects. Experience in leadership, mentoring, or training roles is highly advantageous. Desirable Qualifications More ❯

Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/… Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Seasoned Practitioner : 5+ years of More ❯

production issues. Optimize applications for performance and responsiveness. Stay Up to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark , Databricks , Apache Pulsar , Apache Airflow , Temporal , and Apache Flink , sharing knowledge and suggesting improvements. Documentation: Contribute to clear and concise documentation for software, processes … cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing … large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing frameworks is a plus. Desired Skills: Asynchronous Programming: Familiarity with asynchronous programming tools like Celery or asyncio . Frontend More ❯

processes, including prompt logic, model usage, and data governance considerations, promoting transparency and responsible AI use. 7. Automate ETL pipeline orchestration and data processing workflows: Leverage orchestration tools like Apache Airflow, Perfect to schedule, automate, and manage ETL jobs, reducing manual intervention and improving operational reliability. 8. Implement monitoring, alerting, and troubleshooting for data workflows: Set up real … Bash. Knowledge of Linux-based operating systems. Experience with Amazon Web Services cloud platform or another cloud platform. Proven work experience with containerization and orchestration tools such as Docker, Airflow, Prefect and Kubernetes. Knowledge of cybersecurity best practices. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced and dynamic environment. Self-discipline and delivery focused. More ❯

or in a similar role. Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi). Familiarity with cloud platforms and services and a particular knowledge of Google Cloud would be preferable. Proficiency in programming languages such as Python, Java, or More ❯

Experience with working with Cloud Computing (Google Cloud Platform preferable). Strong SQL skills and proficiency in at least one programme language e.g. Python. Experience with data processing framework Apache Flink. Experience with workflow management tool Apache Airflow. Excellent communication and collaboration skills, with the ability to effectively interact with both technical and non-technical stakeholders. Strong problem More ❯

current data solution as well as advancing it to the next level. We have created an initial gem of a Data Lake and Lakehouse (Azure Data Lake, ADF, Databricks, Airflow, DBT) to enable Business Intelligence and Data Analytics (Superset, RStudio Connect). Our Data Lake is fully metadata driven, cost efficient, documented, and reproducible. We need our one-source … Engineering experience (Preferably Databricks/Azure - or Snowflake/Redshift/BigQuery) (Required) Experience with infrastructure as code (e.g. Terraform) (Required) Proficiency in using Python both for scheduling (e.g. Airflow) and manipulating data (PySpark) (Required) Experience building deployment pipelines (e.g. Azure Pipelines) (Required) Deployment of web apps using Kubernetes (Preferably ArgoCD & Helm) (Preferred) Experience working on Analytics and Data More ❯

have experience with GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI & CD, HDFS, Unix File System, RDBMS, Azure DevOps, Harness. More about the role: Define Data Product Definition, Architecture, and Roadmap. Lead the delivery More ❯

description: Proficiency in GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI & CD, HDFS, Unix File System, RDBMS, Azure DevOps, Harness. More about the role: Able to define Data Product Definition, Architecture, and Roadmap. Define More ❯

tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional teams. Knowledge of More ❯

tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications Experience working in agile or cross-functional teams. Knowledge of More ❯

the ability to translate data into business context A proactive, detail-oriented mindset and a drive to build systems that scale Nice to Have Experience using Azure Data Factory, Airflow, or similar orchestration tools Exposure to CI/CD pipelines and data quality testing frameworks Previous work with international logistics, supply chain data, or operational analytics Comfort working in More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing, etc. They … will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity through … rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache Airflow -Experience with ETL tools, data architecture, and data warehousing solutions -Strong More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing, etc. They … will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity through … rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache Airflow -Experience with ETL tools, data architecture, and data warehousing solutions -Strong 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 ❯

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 ❯

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 ❯

Code • Create Terraform scripts for the infrastructure provisioning • Set up infrastructure security • Implementation of IAM policy and permissions for applications and GitHub • Changes of environment variables for applications and Airflow DAGS If you are interested please hit apply with your updated CV and we will arrange a call to further your application. More ❯

Code • Create Terraform scripts for the infrastructure provisioning • Set up infrastructure security • Implementation of IAM policy and permissions for applications and GitHub • Changes of environment variables for applications and Airflow DAGS If you are interested please hit apply with your updated CV and we will arrange a call to further your application. More ❯