1 to 25 of 30 Apache Airflow Jobs in the North of England

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

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 ...

with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi. Cloud platform ...

experience in Data Engineering with a focus on ETL/ELT development. Strong SQL and Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge of CI/ ...

Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data ...

experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid understanding of data modelling (e.g. star schemas, SCD) and governance principles Experience implementing data quality testing and validation Familiarity with ...

model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg ...

prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model deployment, monitoring, versioning ...

with large datasets. Hands-on experience with AWS services and cloud-based data platforms. Experience building and maintaining production-grade data pipelines. Experience using Airflow for workflow orchestration. Strong version control experience using Git. Understanding of data modelling principles and database design. Excellent problem-solving and analytical skills. Strong ...

Knowledge of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process ...

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 ...

associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion …/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above).\n Desirable Skills ...

Proven experience writing highly maintainable, performant Python and JavaScript code; Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar); Understanding of Data Modelling patterns; Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their ...

. Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices . Soft Skills: Excellent problem-solving, communication, and leadership abilities. ...

with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data. Define ...

with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data. Define ...

Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern data architectures. Strong understanding of data governance, lineage ...

necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems ...

concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query optimization, and database architecture expertise • Observability ...

with experience handling large datasets Experience building and maintaining ETL/ELT pipelines in production environments Hands-on experience with workflow orchestration tools (e.g. Airflow ...

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 ...

Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design ...

Kubernetes and modern containerised deployment patterns Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration Experience with tools such as Airflow or similar platform and orchestration technologies Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility Experience designing scalable infrastructure ...

native solutions that support analytics, automation, and digital transformation. Data Engineering, Full Stack & Platform Development Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions. Develop APIs and microservices to expose data securely ...