Apple

Apple Media Products Engineering - Data Engineer

Job description

Summary

Posted: Dec 17, 2021
Weekly Hours: 35
Role Number: 200324557
Apple Media Products Engineering are the team behind high profile services such as the Apple Arcade, Apple Music, Apple TV+ and many more. We are looking for a world-class Data Engineer to help build the data pipelines and systems that power our customer engagement and marketing automation platforms. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages 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. Here you have a phenomenal opportunity to help build and evolve large-scale highly-available systems, with positions currently available as we grow our amazing London team.

Key Qualifications

  • Ability to develop software and data applications in Scala, Java or Python
  • Prior experience with big data technologies (Hadoop, Spark, ETLs, Distributed Systems)
  • Track record of implementing and maintaining highly scalable data systems and services
  • Experience working with micro-services architectures
  • Manage the data architecture, scheduling and production of data pipelines & solutions
  • Strong communication and collaboration skills, working with cross-functional teams located internationally

Description

You will be joining a small team responsible for developing and building solutions with a focus on leveraging anonymised data & machine automation to improve Apple Media Products and services. You will bring your knowledge and expertise in data engineering to develop, architect and maintain large scale reliable data & machine learning pipelines. This is your opportunity to help engineer highly visible global-scale data products with petabytes of data, supporting hundreds of millions of users. Successful candidates will have strong engineering and interpersonal skills, as well as, a belief that data driven processes lead to phenomenal products. You will need to have a real passion for quality and an ability to understand sophisticated systems. This role also includes a crucial thread of data privacy and security. This is a rare opportunity to join a focused team and work collaboratively with other groups to make a significant impact.

Education & Experience

Additional Requirements

  • Nice to have
    • Experience with streaming technologies including Kafka, Kinesis a plus.
    • Experience deploying Machine Learning models & pipelines.
    • Knowledge of PIIs and GDPR compliance to meet privacy standards
  • Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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