Job Title: Airflow/AWS Data Engineer Location: Manchester Area (3 days per week in the office) Rate: Up to £400 per day inside IR35 Start Date: 03/11/2025 Contract Length: Until 31st December 2025 Job Type: Contract Company Introduction: An exciting opportunity has become available with one of our sector-leading financial services clients. They are seeking a talented AWS DevOps/Data Engineer to join their growing data engineering function. This role will play a key part in designing, deploying, and maintaining modern cloud infrastructure and data pipelines, with a focus on Airflow, AWS, and data platform automation. Key Responsibilities: Deploy and manage cloud infrastructure across Astronomer Airflow and AccelData environments. Facilitate integration between vendor products and core systems, including data lakes, storage, and compute services. Establish and enforce best practices for cloud security, scalability, and performance. Configure and maintain vendor product deployments, ensuring reliability and optimized performance. Ensure high availability and fault tolerance for Airflow clusters. Implement and manage monitoring, alerting, and logging solutions for Airflow and related components. Perform upgrades, patches, and version management for platform components. Oversee capacity planning and resource optimization for Airflow workers and AWS resources. Manage integrations with source control systems (GitHub, GitLab) and CI/CD pipelines. Collaborate with AWS teams and internal stakeholders for pipeline scalability and optimization. Design and implement process improvements, including automation, data delivery optimization, and infrastructure re-design. Develop ETL pipelines and data workflows using AWS and SQL technologies. Partner with cross-functional teams (product, design, and leadership) to resolve technical issues and enhance platform capabilities. Build analytical tools and dashboards to leverage data pipelines for actionable business insights. Key Requirements: Proven experience as an AWS DevOps Engineer or Data Engineer in complex cloud environments. Strong hands-on expertise with AWS services (EC2, S3, Lambda, RDS, IAM, CloudWatch, etc.). Demonstrated experience with Airflow (Astronomer) setup, orchestration, and optimization. Proficiency in infrastructure as code (IaC) tools such as Terraform or CloudFormation. Experience with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Solid understanding of containerization technologies (Docker, Kubernetes). Working knowledge of Python and SQL for automation and data pipeline development. Familiarity with monitoring and observability tools (Grafana, Prometheus, CloudWatch). Strong grasp of data architecture principles and ETL design patterns. Financial services or regulated industry experience (desirable)