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 meani...
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