Analytics & Data Quality Engineer, London

Requirements

• In-depth knowledge of QE methodologies and test strategies for complex systems
• Expertise in test automation architecture, test planning, execution, and triage
• Intermediate-to-Advance coding skills in at least one object-oriented programming language
• Hands-on experience with Python, SQL, Hadoop, Kafka, Spark
• Adaptable and comfortable working in a high-paced technology environment, with focus on driving key issues to resolution

Nice to Have

• Familiarity with GenAI testing tools and Swift/XCUI is a plus
• Exceptional cross-functional communication and influencing skills
• Strong presentation skills, capable of distilling complex analyses and concepts into concise, business-focused insights

What You'll Be Doing

• Collaborating closely with analytics and data engineering teams, project managers, and data science teams
• Working with a team dedicated to ensuring the high-quality release of analytics data pipelines
• Executing test planning, estimation, defects triage, and test automation
• Driving continuous improvement in processes and outcomes

Perks and Benefits

• Passion for maintaining the highest standards of quality
• Opportunity to work at Apple and contribute to revolutionary products and services
• Contribute to industry-leading environmental efforts
• Be part of diverse teams and innovative ideas that inspire innovation