Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Ensure top-notch quality of analytics offerings and collaborate with diverse teams.
- Company: Join Apple, a leader in innovation and technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Be part of a team that revolutionises industries and impacts millions.
- Qualifications: Experience in quality engineering and coding skills in Python or SQL.
- Other info: Dynamic work environment with a focus on continuous improvement.
The predicted salary is between 28800 - 48000 £ per year.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
The Analytics & Data Quality team is responsible for ensuring the end-to-end quality of Analytics offerings within Apple Services Engineering. In this role, you will support the Music Analytics vertical, working with other Quality Engineering (QE) teams dedicated to testing and automating music analytics, as well as overseeing quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers.
The Music Analytics QA team is seeking a highly organized and motivated Analytics & Data Quality Engineer to support one of the fastest-growing sectors within Apple Services. In this role, you will collaborate closely with analytics and data engineering teams, project managers, and data science teams to deliver exceptional products and services to Apple’s customers. You will work with a team dedicated to ensuring the high-quality release of analytics data pipelines from client to server.
Responsibilities
- Test planning, estimation, execution, defects triage, and test automation, to guarantee timely delivery of our commitments, adhering to the highest quality standards at all times.
- Collaborate with analytics and data engineering teams, project managers, and data science teams to deliver high-quality analytics products and services.
- Drive continuous improvement in testing processes and data quality workflows in a fast-paced environment.
Minimum Qualifications
- In-depth knowledge of QE methodologies and test strategies for complex systems.
- Expertise in test automation architecture, test planning, execution, and triage.
- Intermediate-to-Advanced coding skills in at least one object-oriented programming language.
- Hands-on experience with one or more of the following technologies: Python, SQL, Hadoop, Kafka, Spark.
- Adaptable and comfortable working in a high-paced technology environment, with focus on driving key issues to resolution.
Preferred Qualifications
- 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.
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Analytics & Data Quality Engineer, London employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Quality Engineer, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Apple. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by practising common questions related to analytics and data quality. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel when it’s your turn to shine!
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your expertise in test automation and data quality. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics & Data Quality Engineer, London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your passion for analytics and data quality shine through. We want to see how excited you are about the role and how you can contribute to our team at Apple.
Tailor Your CV: Make sure to customise your CV to highlight your experience with test automation and coding skills. We love seeing how your background aligns with the responsibilities of the Analytics & Data Quality Engineer role.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate when candidates can distil complex ideas into simple insights.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Apple
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of the technologies mentioned in the job description, like Python, SQL, and Hadoop. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you worked with data engineers or project managers to deliver a successful project and be ready to share those stories.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially in high-paced environments. Practice articulating your thought process when tackling complex issues, and consider using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly and Confidently
Strong communication is key in this role. Practice explaining complex technical concepts in simple terms, as you may need to present your findings to non-technical stakeholders. This will demonstrate your ability to distil information into business-focused insights.
