76 to 81 of 81 Apache Airflow Jobs in the UK excluding London

Job Title: Data Engineer Salary: £40k - £60k + Excellent Benefits Package Location: Huddersfield (Hybrid) Key Skills: SQL, PowerBI, Airflow Summary A new role has opened up for a Data Engineering with SQL, BI, Cloud and Airflow DAG to join a media-focused business. The role has opened up as the company are heavily investing, and have exciting plans … responsibilities will cover: Develop data models to support company Business Intelligence Write and optimize complex SQL queries Build, maintain and improve data pipelines Transform data using DBT, Snowflake and Airflow Ensure data is handled correctly and to relevant standards Collaborate with tech teams to collectively solve shared data challenges Key Skills SQL DBT Snowflake Airflow DAG Cloud Platform … successful candidate to Oscar. Email: to recommend someone for this role Job Title: Data Engineer Salary: £40k - £60k + Excellent Benefits Package Location: Huddersfield (Hybrid) Key Skills: SQL, PowerBI, Airflow Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy More ❯

methodology and a Medallion architecture (bronze, silver, gold layers). Develop and maintain DBT projects and configure incremental loads with built-in unit testing. Support data pipeline orchestration with Airflow and work with AWS cloud tools. Help deliver a production-ready Data Mart with star schema design to power business reporting and dashboards (PowerBI experience a plus). Skills … Experience: Strong SQL expertise and hands-on experience with DBT. Familiarity with Kimball dimensional modelling concepts. Experience working with cloud data warehouses such as Redshift or Snowflake. Knowledge of Airflow for workflow management. Comfortable in AWS environments and data orchestration. Bonus: Python programming skills and familiarity with dashboarding tools. Contract Details: Duration: 3 months Rate: £450/day onside More ❯

Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers … Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity More ❯

Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers … Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity More ❯

Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers … Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity More ❯

the development of internal ML platforms, and help identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics … or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem More ❯