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- Tasks: Ensure top-notch quality of analytics data for Apple Music and collaborate with diverse teams.
- Company: Join Apple, a leader in innovation and technology with a commitment to diversity.
- Benefits: Competitive salary, flexible work options, and opportunities for personal growth.
- Why this job: Be part of a team that revolutionises industries and impacts millions of users worldwide.
- Qualifications: Experience in quality engineering, coding skills, and a passion for data-driven solutions.
- Other info: Dynamic work environment with a focus on continuous improvement and career advancement.
The predicted salary is between 36000 - 60000 £ 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!
✨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 seen. 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 relevant experience and skills that match the job description. We love seeing how your background aligns with what we're looking for in an Analytics & Data Quality Engineer.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so make sure to articulate your thoughts without unnecessary fluff. This will help us understand your qualifications better.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Apple
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of QE methodologies and test strategies. Be ready to discuss your hands-on experience with technologies like Python, SQL, and Hadoop. The more familiar you are with these tools, the better you'll be able to showcase your skills.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where you worked with data engineering or analytics teams and how you contributed to delivering high-quality results.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in a fast-paced environment. Practice articulating how you approach key issues and drive them to resolution. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly and Confidently
Strong presentation skills are crucial for this role. Practice distilling complex analyses into concise insights. During the interview, focus on clear communication and ensure you can explain your thought process in a way that's easy to understand for non-technical stakeholders.
