Graduate Data Engineer

We are seeking a driven and technically skilled AI Data Engineer to join our team, supporting analytics and data-driven decision-making across our engineering organization. In this role, you will contribute to the development and maintenance of robust data pipelines, reporting infrastructure, and software solutions that empower engineers and drive innovation.
What you could be doing as a Data Engineer Graduate?
You will help build and operate scalable data analytics platforms that support manufacturing workflows, predictive insights, and data-driven decision-making across engineering teams.

• Design, build, and maintain scalable data pipelines and analytics platforms using Python, PySpark, and cloud technologies such as Databricks and AWS.
• Develop and optimize datasets and reporting solutions for analytics and visualization, working with diverse data sources including silicon test data logs.
• Collaborate with engineering and analytics teams to deliver automation, analytics, and software solutions that improve productivity and efficiency.
• Contribute to production-quality codebases, CI/CD workflows, and peer reviews, taking ownership of pipelines and driving continuous improvement in data ingestion and processing.

We are looking for individuals who:
Hold (or are on track to hold) a University degree by the start date. This can be a Bachelors, Masters or PhD in Computer Engineering, Electrical Engineering or Data AI Engineering. Candidates with alternative degrees will also be considered if they have relevant experience.
Qualities that will help your application stand out:

• Fundamental understanding of semiconductor device physics and VLSI design.
• Software development skills with clear, maintainable, and efficient coding practices.
• Command of SQL for data ingestion, transformation, and optimization.
• Experience with Python and familiarity with Apache Spark and Databricks.
• Comfortable working with semi-structured/unstructured data (e.g., Excel, SharePoint).
• Familiarity with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Familiarity with semiconductor-specific formats like STDF, ATDF.
• Experience with Infrastructure-as-Code (e.g., Terraform) and DevOps tooling (CI/CD, monitoring).
• Excellent problem-solving abilities, self-motivation, and strong communication skills.

In Return:
In addition to a competitive salary and comprehensive rewards package , you'll also receive the support, autonomy and opportunity to excel in your career.
With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our 'Grad-teach-Grads' workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills!
You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.
With many of our leaders and technical specialists having originally joined as a Graduate , will you be next?
#li-AB1
10x Mindset at Arm
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Read more about how we bring the 10x mindset to life on the Arm blog .
Salary Range:
$133,500-$175,000 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected] . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.