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, health benefits, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- 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 36000 - 60000 £ 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)
Preferred Qualifications
- 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.
Software Engineer - Analytics & Data Engineering in London employer: Apple
At Apple, we pride ourselves on fostering a culture of innovation and collaboration, making us an exceptional employer for those looking to make a meaningful impact in the tech industry. Our Battersea office in London offers a vibrant work environment with ample opportunities for professional growth, competitive benefits, and a commitment to employee well-being. Join us to be part of a team that values creativity and encourages you to push boundaries while working with cutting-edge technology.
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 or former employees at Apple, especially in the ASE team. 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 GitHub or portfolio showcasing your projects, make sure to highlight that. It’s a great way to demonstrate your experience with distributed systems and data processing technologies.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design. Practice common algorithms and data structures, and be ready to discuss how you’d tackle real-world problems related to big data.
✨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.
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 practical examples of your work 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 Apple
✨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 systems or built reliable data pipelines, and be ready to explain your thought process and the impact of your work.
✨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 teams. Highlight any successful projects where teamwork played a crucial role in 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 well-tested, especially in large-scale systems.
