Graduate Quality Analytics and Automation Engineer
Core
Develop data analytics solutions, automation workflows, and reporting systems to monitor quality performance, identify trends/risks, and drive continuous improvement in engineering processes.
Role type
Graduate Quality Analytics and Automation Engineer
Builds
Data ingestion/transformation pipelines, automation workflows, dashboards, and analytical solutions
Domain
Semiconductor/Chip design engineering (Arm)
Required skills
Python, SQL, data analysis, data visualization, root cause analysis, data engineering concepts
Preferred skills
Machine learning basics, cloud platforms (AWS/Azure/GCP), CI/CD, Git, Lean Six Sigma, Databricks/Spark/Airflow/dbt
Technologies
Python, SQL, Tableau, Power BI, Databricks, Spark, Airflow, dbt, AWS, Azure, GCP, Git
Responsibilities
Build and maintain data pipelines; support automation workflows; develop dashboards and reports; analyze engineering data to identify issues; collaborate with engineering teams to translate insights into improvements; document code and workflows.
Seniority
Graduate (Entry-level)
