Software Engineer, Analytics & Data Engineering

Software Engineer, Analytics & Data Engineering

London, England, United Kingdom Software and Services

Description

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. The projects you will be working on will be truly impactful. You will have the freedom to innovate 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 quality focus and be motivated by taking early production systems and developing them into services which can be run reliably at scale. Our systems are large scale and highly distributed in nature and you will be able to reason about complex failure modes which could occur. Attention to detail and perseverance to deliver high-quality, well tested and maintainable code, is a must.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering or equivalent experience
• 2+ years of experience designing and developing large-scale distributed systems
• Proficiency in Python, Java, or Scala for big data processing
• Experience with modern data processing and warehousing technologies

Preferred Qualifications

• Excellent written and verbal communication skills for collaborating across distributed teams
• Practical experience of streaming technologies like Kafka or Flink
• Experience building and maintaining real-time data pipelines
• Strong background in software testing methodologies and practices
• Proficiency in rapidly prototyping and developing proof of concept systems to validate new ideas

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