Apple Jobs London, Jobs At Apple UK, Apple Jobs UK, The Apple Pay team is looking for data engineers who can help us design and deliver the next-generation systems powering Apple Pay! This initiative will enable first-to-market features that differentiate our products. This means managing and handling data is one strategic element that you and your team will collaborate on.
Apple is committed to creating a diverse working environment for everyone and is proud to be an equal-opportunity employer.
All applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, age, veteran, or immigrant status. Come join our team and be part of this initiative!
GBP 60000 To GBP 65000 Per Year
London, England, United Kingdom W1B 2EL
Practical experience crafting and maintaining large-scale data processing pipelines for streaming and computing with data technologies like Spark, Kafka, SQL, and NoSQL.
Experience in designing, implementing & supporting highly scalable systems and services.
Ability to communicate thoughtfully, demonstrating problem-solving skills and a learning mentality to build long-term relationships.
Proven understanding of governance/security concepts and technologies (examples: encryption, anonymization, PCI, PII, etc.).
Proven experience working across operational data sets and data at rest.
Some experience deploying code to cloud platforms and associated tooling (examples: AWS, GCP, Azure, Terraform, Spinnaker).
Match the functional requirements for our data platform with the existing data sources and identify gaps, and solutions while improving reusability and flexibility.
Design, deliver and continuously test data computation pipelines that will aggregate data into reports and live feeds to integrate with our partners and our data warehouse.
Participate in multi-functional efforts: advise and improve the architecture to ensure our data needs are considered from the earliest phase.
Collaborate with our product and infrastructure team to ensure compliance with constraints and prioritize accordingly.
Participate, learn and share knowledge with fellow engineers.
Education & Experience
BSc or MS in Computer Science or related technical field, equivalent work experience will also be considered.
ANY OF THE FOLLOWING IS AN ADVANTAGE:
Prior exposure to payments and banking domains and technologies (examples: payment schemes, ISO8583).
Work on microservice architectures with service mesh on Kubernetes.
Comfortable with JVM language like Java, Scala, or Kotlin.
This role may require occasional international travel/transatlantic travel.
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 programs.
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 programs that match your charitable contributions, reimburse you for continuing your education, and give you special employee pricing on Apple products. Apple benefits programs 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.
Tell me about yourself.
What is a data engineer’s role within a team or company?
When did you face a challenge in dealing with unstructured data and how did you solve it?
Walk me through a project you worked on from start to finish.
What algorithm(s) did you use on the project?
What tools did you use on the project?
What is data modeling?
Explain the difference between structured data and unstructured data.
What are the design schemas of data modeling?
What are big data’s four Vs?
Tell me some of the important features of Hadoop.
Which ETL tools have you worked with? What is your favorite, and why?
What is the difference between a data warehouse and an operational database?