Data & Machine Learning Engineer
About this role
Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.
Your role
We are looking for a talented and driven Data & Machine Learning Engineer to join our Airborne Early Warning (AEW) organization and help shape the future of data-driven development, testing, verification, and evaluation for one of the world's most advanced Airborne Early Warning & Control (AEW&C) systems, GlobalEye.
This is an opportunity to work at the intersection of Data Engineering, Analytics, and Machine Learning, helping establish and grow our data and machine learning capabilities. As part of an emerging area within the organization, you will develop technical solutions, explore new ways of working, and support the adoption of modern data-driven methods across engineering teams.
The primary focus of this role is to build and improve data pipelines, analytics capabilities, and machine learning solutions using data generated throughout the development and testing of the GlobalEye system. You will collaborate closely with test engineers, systems engineers, software developers, product owners, and domain experts to transform complex technical data into actionable insights and scalable solutions.
As a Data & Machine Learning Engineer, you will:
• Design, develop, and maintain scalable data pipelines for engineering and product data. • Develop and improve machine learning workflows and supporting infrastructure. • Analyze complex datasets and create solutions that generate measurable value for engineering and development teams. • Collaborate with systems engineers, software developers, product owners, and domain experts across the organization. • Help establish and mature data-driven ways of working. • Identify opportunities where analytics, automation, and machine learning can improve engineering processes, product quality, and decision-making. • Contribute to initiatives from concept through implementation and operational use. • Support colleagues and stakeholders in understanding and adopting data, analytics, and machine learning methodologies.
Your profile
We believe that success in this role is driven as much by mindset as by technical expertise. You are a self-driven, problem-solving, and proactive person who takes ownership of your work and thrives in environments where structures and ways of working continue to evolve. With a curious mindset and a passion for continuous learning, you enjoy exploring new technologies and approaches.
You are comfortable navigating ambiguity, creating clarity when needed, and driving initiatives forward both independently and together with others. Most importantly, you are motivated by solving complex challenges, creating value through practical solutions, and helping others embrace opportunities within data, AI, and machine learning.