AWS Cloud/Data Engineer

2 weeks ago

Manchester, New Hampshire, United Kingdom Square One Resources Full time £80,000 - £160,000 per year

Job Title:
AWS DevOps/Data Engineer - AirFlow

Location:
Manchester Area - 3 days per week in the office

Salary/Rate:
Up to £400 per day INSIDE IR35

Start Date:
03/11/2025

Job Type:
Contract

Company Introduction

We have an exciting opportunity now available with one of our sector-leading financial services clients They are currently looking for a skilled AWS DevOps/Data Engineer to join their team for an initial contract until the end of the year.

Job Responsibilities/Objectives

  • Deploy comprehensive cloud infrastructure for various products, including Astronomer Airflow and AccelData environments.
  • Facilitate cross-functional integration between vendor products and other systems, such as data lakes, storage, and compute services.
  • Establish best practices for cloud security, scalability, and performance.
  • Manage and configure vendor product deployments, ensuring the setup and maintenance of environments.
  • Ensure high availability, scalability, and fault tolerance of Airflow clusters.
  • Implement monitoring, alerting, and logging for Airflow and related components.
  • Perform upgrades and patches for platform-related components.
  • Oversee capacity planning, resource allocation, and optimization of Airflow workers.
  • Maintain and configure integrations with source control systems (e.g., GitHub, GitLab) for version control.
  • Collaborate with cloud providers (e.g., AWS) for pipeline integration and scaling requirements.
  • Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimising data delivery, and automating manual processes.
  • Develop infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS and SQL technologies.
  • Work with stakeholders, including design, product, and executive teams, to address platform-related technical issues.
  • Build analytical tools to leverage the data pipeline, providing actionable insights into key business performance metrics, such as operational efficiency and customer acquisition

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