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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graduate Quality Analytics and Automation Engineer - **Company:** Arm Limited - **Location:** Cambridge, United Kingdom - **Experience:** Starter - **Salary:** £57,500 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Structures, Data Visualization, Software Debugging, Python (Programming Language), Machine Learning, Power BI, Software Engineering, SQL Databases, Tableau (Software), Data Ingestion, Apache Spark, Git, Information Technology, Data Analytics, Tools for Reporting, Data Pipelines, Databricks, Programming Languages - **Published:** November 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b6b666a777dead92 ## About the Role 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., * 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. ## Description * 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., 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.