1 to 25 of 78 Apache Airflow Jobs in the UK excluding London

Description:Job Title Senior Airflow/Cloud Engineer (Workload Automation)Location BirminghamCorporate Title Assistant Vice PresidentService Automation provides an integrated set of management tools for IT professionals to programmatically provision and automate the operational maintenance of their hybrid application environment. It focuses on the following key capabilities:Technology Operations … responsible for availability, latency, performance, efficiency, change management, monitoring, automation, emergency response, and capacity planning for the centralized platforms of Control-M, Automic, Airflow as well as Google services Cloud Composer, Workflows and Scheduler which are utilized across the Bank for workload automation/job scheduling/batch ...

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 ...

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 ...

Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package ...

Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management and communication skills Experience mentoring engineers and providing technical leadership Strong analytical and problem-solving abilities Experience working within ...

stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance ...

relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL. Orchestration Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. ...

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 ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer ...

Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments CI/CD experience with a focus on production ownership and reliability ...

Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... ...

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 ...

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 ...

maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging ...

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 ...

certifications) with Snowflake and/or MS Fabric experience a bonus. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life. Hands-on DataOps experience (eg. CI/ ...

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 ...

Python skills * Hands-on experience designing and developing ETL pipelines and data workflows * Experience designing and maintaining data pipelines using technologies such as Apache Airflow or Spark * Experience working with cloud platforms including AWS, Azure or GCP * Strong understanding of data modelling, integration and governance principles * Experience working ...