12 of 12 Apache Airflow Jobs in the North of England

Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working ...

tuning. Hands-on expertise with Fivetran and dbt. Good understanding of data modelling, governance, and security best practices. Familiarity with orchestration tools such as Airflow or Prefect (advantageous). Experience working in Azure (or AWS/GCP). Strong analytical and collaboration skills, with great attention to detail. ...

will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values ...

modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ ...

building views/stored procedures. Solid SQL skills: confident writing complex queries over large datasets. Hands-on pipeline experience using tools like dbt, FiveTran, Airflow, Coalesce, HighTouch, Rudderstack, Snowplow, or similar. Data warehousing know-how and a clear view of what “good” looks like for scalable architecture. Analytical, detail ...

enabling and accelerating AI R&D. Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt). Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma). Experience with ...

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle ...

. Develop robust backend systems and APIs to support workflows. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical ...

Principal Data Engineer: Experience as a lead or principal data engineer. Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream. Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions. Previously ...

management. Requirements for the Principal Data Engineer: Experience as a lead or principal data engineer. Prior experience designing data platform(s) within GCP, across Airflow, Big Query, Data Flow, Data Fusion, and Data Stream. Deep understanding of Data Mesh design and Data Lake/Warehouse solutions. Previously led teams ...

experienced team members and fostering a culture of knowledge sharing Communicating clearly and effectively with diverse technical and non-technical audiences Tech stack Python , Airflow , Terraform Azure (but open to other cloud experience) DBT (nice to have) Exposure to ML pipelines beneficial ...

workflows Nice to Have Knowledge of FinOps principles and cloud cost optimisation Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow Exposure to containerisation tools (Kubernetes, Docker) Experience with data cataloguing tools Familiarity with unit testing in data pipelines Awareness of MLOps practices ...