Graduate Quality Analytics and Automation Engineer

Job Overview:

We are seeking a motivated Graduate Quality Analytics and Automation Engineer to join our team. This role will support the development of data analytics solutions, automation workflows and reporting systems that help monitor quality performance, identify trends and risks, and drive data-driven continuous improvement across engineering.

You will gain practical experience in data analytics, data engineering, Python development and automation, while helping to identify root causes of quality issues, improve efficiency and optimise engineering processes. This is an excellent opportunity for a graduate looking to grow their skills in data analytics, programming and automation in an encouraging and collaborative environment.

What you could be doing as a Graduate Quality Analytics and Automation Engineer:

• Assist in building and maintaining data ingestion, transformation and integration pipelines.
• Support automation workflows for connecting data sources, improving data quality, streamlining reporting processes and increasing operational efficiency.
• Help develop dashboards, reports and analytical solutions to monitor quality performance, identify trends and risks, and provide actionable insights to engineering teams.
• Use programming languages such as Python and SQL to analyse data, automate repetitive tasks and optimise existing processes.
• Analyse engineering and quality data to identify recurring issues, investigate root causes and highlight opportunities for continuous improvement.
• Work collaboratively with engineering teams to translate data insights into actionable improvements, supporting defect prevention and more efficient ways of working.
• Chip in to testing, debugging and improving existing data pipelines, analytics solutions and automation workflows.
• Document code, workflows and analytical processes, and provide support for team knowledge sharing.
• Continuously learn and apply new tools, frameworks and technologies related to data analytics, automation, AI and quality improvement.

We are looking for individuals who:

• Hold (or are on track to hold) a University degree by the programme start date. This can be a Bachelors, Masters or PhD in Computer Science, Data Science, Software Engineering, Data Analytics or a related field. Candidates with alternative degrees will also be considered if they have relevant experience.
• Programming experience in Python and familiarity with SQL for data analysis and automation.
• Understanding of data structures, databases, data analysis techniques and data visualisation.
• Strong analytical and problem-solving skills, with the ability to interpret data, identify trends, generate meaningful insights and work collaboratively.

Qualities that will help your application stand out:

• Demonstrate a quality-focused mindset, with attention to detail, curiosity and a proactive approach to identifying problems, challenging assumptions and driving improvements.
• Have an interest in continuous improvement, root cause analysis and using data to improve engineering quality, efficiency and processes.
• Familiarity with data visualisation and business intelligence tools (e.g., Tableau or Power BI).
• Eagerness to learn data analytics, automation and AI concepts and how they can be applied to improve quality processes and drive continuous improvement.
• Exposure to data engineering and analytics tools (e.g., Databricks, Spark, Airflow or dbt).
• Awareness of cloud platforms (AWS, Azure or GCP).
• Experience with Git, CI/CD or Agile practices (from university or projects).
• Familiarity with machine learning basics (e.g., scikit-learn) and an interest in applying predictive analytics to identify trends and quality risks.
• Awareness of quality and continuous improvement methodologies, such as Lean Six Sigma or root cause analysis, and an interest in applying them to engineering challenges.
• Ability to look beyond reporting metrics to understand underlying problems, identify opportunities for optimisation and recommend meaningful improvements.

Additional Information:

We encourage early applications as we review them on a first come, first served basis.

Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it.

Application closing date:

2026-11-29

We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.

In return:

You’ll receive a starting salary of £48,000 (Bachelor level) or £49,000 (Master level), alongside a comprehensive rewards package. As you develop in role, you’ll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you’ll have two formal progression windows each year, recognising your growth.

You can also attend our “Grad-teach-Grads” workshops, guest speaker series, and social events to expand your knowledge. If you’d like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills.

You’ll be invited to our Global Graduate Conference (GGC) — an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections.

With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?

#LI-KW

| Join Arm as a Graduate Quality Analytics and Automation Engineer, developing data-driven solutions, enhancing engineering processes and driving continuous improvement through analytics, Python and automation.|

Our 10x Mindset

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. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . 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

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