76 to 100 of 128 Apache Airflow Jobs in the UK

Experience with Data Vault 2.0. Analytical mindset with attention to detail. Enthusiastic about learning and thriving in a dynamic setting. Familiarity with dbt, Snowflake, Airflow, FiveTran, and Terraform. Join and be part of a dynamic team driving innovation and excellence in data engineering more »

early-stage B2B SaaS experience involving client-facing projects • Experience in front-end development and competency in JavaScript • Knowledge of API development • Familiarity with Airflow, DBT, Databricks • Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems. If this role sounds of interest, please apply using the more »

well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. Qualifications Degree in Computer Science, Engineering, or related field. more »

as thinking strategically and proactively identifying opportunities. You have experience collaborating with senior business stakeholders and finance teams. You have working knowledge of Python, Airflow, dbt, Bigquery, and Looker. Additional desirables: Experience in one or more finance domains, such as Financial Reporting, Treasury, Regulatory Reporting, Financial Planning & Analysis, Financial more »

helping to shape future direction and effectively communicate with both technical and non-technical stakeholders. Ideally you will be familiar with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau. #dataengineering #datalead #teamlead #dataengineeringmanager #datatrasnformation #datadevelopment #python #sql #analytics more »

4.Monitoring and Logging: Implement and maintain monitoring, logging, and alerting solutions. Key technologies: AWS, VPN, VPC Peering, EC2, S3, Lambda, Aurora, Docker/Kubernetes. Apache Airflow, AWS networking concepts such as VPN, VPC peering, subnets, security groups, NAT gateways. AWS CloudWatch or equivalent. Kafka or similar data streaming more »

4.Monitoring and Logging: Implement and maintain monitoring, logging, and alerting solutions. Key technologies: AWS, VPN, VPC Peering, EC2, S3, Lambda, Aurora, Docker/Kubernetes. Apache Airflow, AWS networking concepts such as VPN, VPC peering, subnets, security groups, NAT gateways. AWS CloudWatch or equivalent. Kafka or similar data streaming more »

trends and best practices. Qualifications: Expertise in Java and Python development (Essential). Experience with Spark or Hadoop (Essential). Knowledge of Trino or Airflow (Desirable). Proven ability to design and implement scalable and secure solutions. Excellent communication and collaboration skills. more »

proficiency GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days more »

proficiency GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days more »

to-end from scoping, designing, coding, release and continuous monitoring in production environment •ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow •Database systems: Experience working with one of more of non-SQL databases such as Druid, Elasticsearch and neo4j •AWS: Experience deploying and managing applications more »

specifications Install hardware components such as CPUs, RAM, storage drives, graphics cards, and motherboards Connect and organise cables neatly within the systems to optimise airflow and aesthetics Conduct quality control checks to ensure all assembled systems meet the company's standards and customer requirements Carry out thorough testing to more »

within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field. - Experience in workflow management systems such as Apache Airflow. - Familiarity with Research Data Management methodologies, modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI more »

within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field. Experience in workflow management systems such as Apache Airflow. Familiarity with Research Data Management methodologies,modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI more »

an autonomous environment. 5+ years SQL experience developing data pipelines in a cloud based database environment (e.g.BigQuery), including scheduling your own queries (e.g. using Airflow or Stitch) 3+ years experience delivering data products in a modern BI technology (ideally Looker) or open source data frameworks Experience managing end-to more »

Looking for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

working on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

effective data visualisation solutions. Key Skills: Strong Python and SQL coding experience essential Experience with scripting language Proficiency in data orchestration tools (Dagster/Airflow) Proficiency in visualisation tools such as Tableau and Power BI. Proficiency with Git and CI/CD (ideally using Azure DevOps Salary more »

engineers to assist with technical work in agreed territories Key skills/knowledge: Expertise in GCP Experience in Python , SQL Knowledge and expertise in Airflow , Dataform, Git Previous experience working in a team in one of the following functions: data analytics, software or application development, database development Previous experience more »

a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orchestration (Kafka) On-Prem SQL more »

a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orchestration (Kafka) On-Prem SQL more »

Experienced creating data pipelines on a cloud (preferably AWS) environment CI/CD experience Containerization experience (Docker, Kubernetes, etc.) Experience with SQS/SNS, Apache Kafka, RabbitMQ Other interesting/bonus skills – Airflow, Trino, Apache Iceburg, Postgres, MongoDB You *must* be eligible to work in your chosen more »

and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading … developing and optimising ETL pipelines. Version Control: Experience with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with tools such as Apache Airflow. Cloud Platforms: Familiarity with AWS, Azure, Snowflake, and GCP. Visualisation: Tableau or PowerBI Delivery Tools: Familiarity with agile backlogs, code repositories, automated builds more »

a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in developing data systems using PySpark and Apache Spark for batch processing. Capable of managing data intake from various sources, including data streams, unstructured data, relational databases, and NoSQL databases. Extensive knowledge … data pipelines. Proficiency in Python programming (knowledge of Scala or Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and ArgoCD (expertise not required; cloud team more »

Key technical experience: Ability to operate in a fast changing environment. Fluent in English Previous cloud based infrastructure experience, particularly with AWS. Experience using Airflow and dbt Expert SQL knowledge Solid understanding of Dimensional Data Modelling. Experience with at least one or more of these programming languages: Python, Scala …/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal with ambiguity and change. A self-starter who's able to work independently where necessary more »