23 of 23 Permanent Apache Airflow Jobs in the North of England

software development team Hands‐on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross … highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical ...

Data Engineer - Newcastle upon Tyne (Hybrid- 3 days onsite) - SQL, Airflow, Python, Power BI - Future Microsoft Fabric Transformation Project - Up to £55,000 Are you a Data Engineer looking for an opportunity where you can influence the direction of a growing data platform rather than simply maintain existing processes … data capabilities and embarking on an exciting data transformation journey. This role offers the chance to work hands-on with Azure SQL, Airflow, Python and Power BI while playing a key role in the organisation's future migration to Microsoft Fabric. You'll join a small, highly visible team ...

delivering enterprise-scale data platform solutions. A strong background in Solution Architecture or Technical Architecture. Hands-on experience with open-source technologies such as Apache Spark, Trino, Airflow, Apache Superset, or similar data engineering platforms. Experience working with cloud platforms including Azure, AWS, or GCP. Experience producing ...

multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend applications Understanding ...

scale data platforms and end-to-end technical solutions within enterprise environments. \n Strong hands-on experience with open-source data technologies such as Apache Spark, Trino, Airflow, Apache Superset, or similar platforms. \n Demonstrable security architecture expertise, including threat modelling, IAM (RBAC/ABAC), encryption, secrets ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within ...

Data Engineer to design, build, and maintain scalable data pipelines powering Moody’s next-generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners ...

Python Experience with AWS and modern data technologies Familiarity with version control systems such as Git Experience with orchestration tools such as Airflow Ability to troubleshoot and improve data platform performance Strong attention to detail and focus on data quality Excellent communication and collaboration skills Willingness to learn ...

working as a Data Engineer Strong understanding of data engineering principles, ETL processes and data warehousing concepts Experience using workflow orchestration tools such as Airflow to schedule, monitor and manage data pipelines Experience working with at least one major cloud data platform, preferably Azure Strong data modelling skills, including ...

Looking For Strong experience designing and building scalable data pipelines Proficiency in SQL, Python, Databricks or Azure Experience with tools such as Git and Airflow Proven ability to test, troubleshoot and improve data platforms Experience delivering high-quality, reliable data solutions Strong communication skills and ability to work ...

building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability ...

mentor teammates through code reviews and documentation. A bachelor’s degree or equivalent experience is required, with master’s a plus; AWS, Snowflake, Airflow, and Python experience preferred. #J-18808-Ljbffr ...

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 ...

stakeholder communication skills Desirable: Experience overseeing or supporting data ingestion pipelines, including APIs and event driven data sources Familiarity with orchestration tools such as Airflow and modern ELT architectures Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently … design input, reviews, and mentoring Influence how analytics data is built, trusted, and operated at scale Work with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays , your potential ...

preferred Mastery of Python, SQL, and Spark – and strong opinions on how they should be used in production data pipelines Deep experience with dbt, Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation … leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform ...

preferred Mastery of Python, SQL, and Spark – and strong opinions on how they should be used in production data pipelines Deep experience with dbt, Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation … leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform ...

Title: Analytics Engineer Location: Manchester (Hybrid, 2-3 days per week in the office) Salary: £60,000 - £80,000 DOE Industry: Financial Services The Opportunity I'm currently working with a growing financial services organisation ...

involved in a modern data transformation programme, including a planned migration to Microsoft Fabric. Key Responsibilities Develop and maintain data pipelines using Apache Airflow. Design and optimise SQL-based data solutions. Build and enhance Power BI reports and dashboards. Work closely with stakeholders to gather requirements and deliver insights. … Support ongoing improvements to the data platform and reporting environment. Contribute to the organisation's future migration to Microsoft Fabric. Required Skills Experience with Apache Airflow. Strong Azure SQL skills. Power BI development and data modelling experience. Good understanding of ETL/ELT processes and data warehousing concepts. Strong ...