At a Glance
- Tasks: Develop large-scale systems for Apple Services, powering data products and analytics.
- Company: Join the innovative team at Apple Services Engineering in London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and accessibility.
- Why this job: Make a real impact on high-profile services like Apple Music and iCloud.
- Qualifications: Experience in distributed systems and proficiency in Java or Scala required.
The predicted salary is between 60000 - 80000 € per year.
The role is in Apple Services Engineering (ASE) in London. ASE is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more. Our Analytics and Data Engineering team is looking for a world-class Software Engineer to develop large-scale systems that will power the next generation of ASE data products.
Do you love crafting elegant solutions to distributed problems with billions of data points per day? Are you able to manage the complexity and focus on delivering reliable, scalable solutions for our customers? Join this team, and you will collaborate with engineers across Apple to build and deploy data pipelines and realtime streaming applications that power services and make quick business decisions possible.
The ASE Analytics & Data Engineering team is responsible for building analytics platforms, datasets and processes required by Apple for analysing and powering customer experiences. This means we build computation platforms and datasets to empower our product, marketing, feature, analytic and data science teams. Given the size and complexity of our datasets, this is not a trivial task. We are looking for an outstanding Software Engineer who can effectively collaborate with our partner teams to deliver data engineering solutions to improve and power the next generation of Apple features.
You will be working on cross-functional projects with other engineering teams, product leads and analytics leaders to build insights, metrics and data pipelines. You will have the freedom to innovate and have impact as you work closely with our partners to drive meaningful change and build elegant systems to deliver the results.
The ideal candidate will have a strong focus on quality and craftsmanship and is motivated by developing reliable distributed systems at scale. Reasoning about complex failure modes and attention to detail with the perseverance to deliver high-quality, well tested and maintainable code, is a must.
Minimum Qualifications- Several years of experience designing and developing distributed systems
- Proficiency in Java or Scala for big data processing
- Experience with modern data processing, streaming and warehousing technologies
- Flink (or equivalent)
- Kafka (or equivalent)
- Iceberg (or equivalent)
- Bachelor’s or Master’s degree in Computer Science, Software Engineering or equivalent experience
- Excellent written and verbal communication skills for collaborating across distributed teams
- Practical experience of maintaining large-scale data pipelines
- Spark (or equivalent)
- Airflow (or equivalent)
- Contributions to open-source tools in the area of data processing
- Strong background in software testing methodologies and practices
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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Software Engineer - Analytics & Data Engineering in London employer: Omaze
Apple Services Engineering in London offers an exceptional work environment where innovation thrives and collaboration is key. As a Software Engineer in our Analytics & Data Engineering team, you will enjoy a culture that values diversity and inclusion, alongside opportunities for professional growth and development. With access to cutting-edge technologies and the chance to work on high-profile projects that impact millions of users, Apple is committed to providing a rewarding and meaningful career experience.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Analytics & Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Apple or in the analytics and data engineering field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source tools, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in distributed systems and data processing.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Java or Scala. Practice solving problems related to big data processing and distributed systems, as these are key areas for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Apple.
We think you need these skills to ace Software Engineer - Analytics & Data Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Engineer role. Highlight your experience with distributed systems and data processing technologies like Java, Scala, and Kafka. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for building scalable solutions and how you’ve tackled complex problems in the past. Let us know why you’re excited about joining our Analytics & Data Engineering team at Apple.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving large-scale data pipelines or open-source contributions, make sure to mention them. We love seeing real-world applications of your skills and how you’ve made an impact!
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 into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Omaze
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Scala, and data processing tools. Brush up on your knowledge of Flink, Kafka, and Spark, as these are likely to come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex distributed systems problems. Be ready to explain your thought process and how you arrived at your solutions, as this will demonstrate your analytical skills and ability to manage complexity.
✨Communicate Clearly
Since collaboration is key in this role, practice articulating your ideas clearly and concisely. Think about how you can explain technical concepts to non-technical stakeholders, as effective communication will be crucial when working with cross-functional teams.
✨Demonstrate a Quality Mindset
Highlight your commitment to quality and craftsmanship in your code. Be prepared to discuss your experience with software testing methodologies and how you ensure that your systems are reliable and maintainable, as this aligns with the team's focus on delivering high-quality solutions.
