76 to 100 of 122 Apache Airflow Jobs in the UK

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 »

intelligence, and data warehousing Proficiency in BI tools (e.g., PowerBI, ThoughtSpot) Expert in SQL and Python with knowledge of how to leverage dbt and Airflow Data modelling and governance expertise Knowledge of how to run experimentation platforms and CoE Inspirational leadership styles with the ability to influence senior stakeholders more »

intelligence, and data warehousing Proficiency in BI tools (e.g., PowerBI, ThoughtSpot) Expert in SQL and Python with knowledge of how to leverage dbt and Airflow Data modelling and governance expertise Knowledge of how to run experimentation platforms and CoE Inspirational leadership styles with the ability to influence senior stakeholders more »

/BS or MA/MS degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.Familiarity with data tools like Druid, Hadoop, Airflow, and Superset is beneficial.Experience with Tableau is a plusStrong communication skills to collaborate effectively with cross-functional teams.#LI-GW1 #LI-Remote Kraken is powered 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 »

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 »

sees challenges as development opportunities not problems Desirable Skills Experience of SAS Viya Experience of SAS Visual Analytics Experience of SQL Server Experience with Apache Airflow Experience using MS Dev Ops for workflow and CI/CD pipelines. Educated to degree standard 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 »

in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud 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 »

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 »

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 »

knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc Strong proven knowledge of Kimball/Dimensional data modelling and/or Data vault If you are interested in applying for more »

tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab) Orchestration/DAGs tools (e.g., Argo, Airflow, Kubeflow) Infrastructure as Code (Terraform, etc.) HOW TO APPLY Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply 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 »

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 »

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 »

utilising the best breed of Cloud services and technologies. So, what tools and technologies will you be using? AWS Python Databricks/Spark Trino Airflow Docker CloudFormation/Terraform SQL/NoSQL We provide you with the opportunity to think freely and work creatively and right now, is a … Other skills we are looking for you to demonstrate include: Experience of data storage technologies: Delta Lake, Iceberg, Hudi Sound knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Knowledge of Architecture best practices and patterns Competence in more »

company growth and profitability. OUR TECH STACK · Python · Scala · Kotlin · Spark · Google PubSub · Elasticsearch, Bigquery, PostgresQL FullCircl 3 Lead_Data_Engineer 04.24 · Kubernetes, Docker, Airflow KEY RESPONSIBILITIES · Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. · Optimizing data storage and retrieval systems … Data Infrastructure projects, as well as designing and building data intensive applications and services. · Experience with data processing and distributed computing frameworks such as Apache Spark · Expert knowledge in one or more of the following languages - Python, Scala, Java, Kotlin · Deep knowledge of data modelling, data access, and data 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 »

schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client …/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving more »