Analytics & Data Quality Engineer,

London, ENG, GB, United Kingdom

Job Description

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.



Description



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 include 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.



We are looking for candidates with a strong background in data analytics and quality assurance. Key skills include exceptional analytical thinking, attention to detail, hands-on coding, and effective problem-solving abilities.



Strong collaborative capabilities and experience working in a matrix work environment are must haves. You should be adept at building and maintaining relationships with cross-functional partners and stakeholders ensuring alignment with the organization's development lifecycles and project timelines.



This role requires a passion for maintaining the highest standards of quality and the ability to drive continuous improvement in processes and outcomes.



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



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-Advance 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



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. Learn more

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Job Detail

  • Job Id
    JD4159541
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned