At a Glance
- Tasks: Develop large-scale systems for Apple Services, powering data products and analytics.
- Company: Join Apple, a leader in innovative technology and services.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Collaborative environment with a focus on diversity and accessibility.
- Why this job: Make an impact on millions by crafting elegant solutions for complex data challenges.
- 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 employer: Omaze
Apple Services Engineering in London offers an exceptional work environment for Software Engineers, where innovation and collaboration are at the forefront. With a commitment to diversity and inclusion, employees benefit from a culture that values unique perspectives, alongside opportunities for professional growth through cross-functional projects. The role provides the chance to work on high-impact data engineering solutions that power renowned services like the App Store and Apple Music, all while enjoying comprehensive benefits and a focus on accessibility.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Analytics & Data Engineering
✨Tip Number 1
Network like a pro! Reach out to current employees at Apple or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems related to distributed systems and data processing. We want you to feel confident when tackling those tricky questions!
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. Highlight any experience with big data technologies like Flink or Kafka, as that’s what they’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Apple. Let’s get you that dream job!
We think you need these skills to ace Software Engineer - Analytics & Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your experience with distributed systems and data processing technologies like Java, Scala, and Kafka. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a perfect fit for our Analytics & Data Engineering team. Let us know what excites you about working 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 practical examples of your work and how you've tackled complex problems.
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 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 like Flink and Kafka. Brush up on your knowledge of distributed systems and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've crafted elegant solutions to complex problems. Think about times when you managed large-scale data pipelines or tackled challenges in real-time streaming applications. Be ready to explain your thought process and the impact of your solutions.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with engineers, product leads, and analytics leaders. Highlight any successful projects where teamwork was essential to delivering results.
✨Focus on Quality and Testing
Emphasise your commitment to quality and craftsmanship in your code. Be ready to discuss your experience with software testing methodologies and how you ensure that your code is maintainable and reliable. This will show that you understand the importance of delivering high-quality solutions.
