21 of 21 Apache Airflow Jobs in the North of England

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

using Docker and Kubernetes (EKS/AKS). Develop automation scripts and tooling using Python, Bash, and PowerShell. Support data and orchestration platforms using Apache Spark and Apache Airflow. Use Jupyter Notebooks for development, troubleshooting, and operational analysis. Implement monitoring, logging, and observability solutions using Prometheus, Grafana … Ansible/Chef Containers & Orchestration Docker Kubernetes (EKS/AKS) CI/CD & Automation GitLab CI/CD Python Bash PowerShell Data & Platform Engineering Apache Spark Apache Airflow Jupyter Notebooks Observability & Monitoring Prometheus Grafana Splunk Security & DevSecOps Trivy Trend Micro Wiz Security scanning and compliance automation Networking ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding ...

Swagger, alongside accessibility testing (WCAG 2.2 with assistive tech such as JAWS/Dragon), plus Infrastructure as Code and data platforms using Terraform, Apache Spark, Python/Airflow, Docker, security scanning (e.g., Trixy, Trend Micro, Wiz) and Juryter Notebooks, integrated with DWP Integration Team products (e.g.Data Access Layer … Azure cloud with Terraform for Infrastructure as Code, Java and Python services built as RESTful microservices (Spring Boot) supported by TDD/BDD, Apache Spark for data processing and Apache Airflow for orchestration, containerization with Docker, CI/CD and source control with GitLab/GitHub, streaming ...

data warehousing, dimensional modelling and medallion architecture Hands-on experience with cloud platforms: AWS, Azure or GCP Experience with orchestration tools such as Airflow, Prefect or Dagster Strong SQL skills and experience with modern warehouse/lakehouse architectures Familiarity with Git, CI/CD and infrastructure-as-code practices ...

Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena ...

Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including Git, testing and CI/CD workflows What They ...

with a strong focus on ETL/ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven ...

successful Senior Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

Great Expectations, Soda or equivalent) and IaC (Terraform or CDK) Bonus points for: dimensional modelling, experience with Redshift, Snowflake, BigQuery or Databricks, reverse ETL, Airflow or Dagster, data lineage and cataloguing, or GRC/RegTech/FinTech domain exposure. The Package £70,000 - £85,000 (with some flexibility ...

expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control ...

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 ...

images to registries, and ensures secure and efficient AKS cluster deployments. Implements infrastructure as code using Terraform, including network, security, and compute resources. Supports Airflow as part of platform orchestration. Collaborates closely with Data Engineers, MLOps Engineers, and Solution Architects to ensure the infrastructure and pipelines meet performance, scalability ...

language used for automation (e.g. Python, JavaScript, TypeScript). · Experience integrating automated tests into CI/CD pipelines, or using orchestration platforms such as Apache Airflow · Practical experience working with real and/or virtual devices (Android, iOS, emulators/simulators) and dealing with the challenges of scale ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

EXPERIENCE: You will bring strong capability in: Python and advanced SQL Building and maintaining production-grade data pipelines Modern data orchestration tools (e.g. Dagster, Airflow, Prefect) Data modelling methodologies (Kimball, Data Vault, etc.) Engineering best practices including testing, version control and clean code AWS experience THE BENEFITS: You will ...

workloads. Practical experience working with AWS cloud services, including compute, storage, and security tooling. Infrastructure-as-code experience using Terraform. Distributed data processing using Apache Spark. Workflow scheduling and orchestration with Apache Airflow. Containerisation and environment management using Docker. CI/CD pipeline implementation and maintenance using GitLab. ...

workloads. Practical experience working with AWS cloud services, including compute, storage, and security tooling. Infrastructure-as-code experience using Terraform. Distributed data processing using Apache Spark. Workflow scheduling and orchestration with Apache Airflow. Containerisation and environment management using Docker. CI/CD pipeline implementation and maintenance using GitLab. ...

these Experience building data pipelines or data applications Strong skills in Python and/or SQL Familiarity with tools like Spark, Databricks, or Airflow Experience with AWS, Azure, or GCP Strong problem-solving and communication skills What We Offer Competitive salary + progression opportunities Exposure to complex, large-scale … complex data challenges in a high-performance environment, we’d love to hear from you. Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant, High-Impact ...