The Analytics Platforms & Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a seamless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale.
APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. Our team bridges data engineering with insights and analytics. We provide interactive data solutions that amplify the collective potential of datasets, enabling analytics and actionable insights.
We are expanding our reach with a new, innovative team based in Ireland, designed to propel our Data Engineering Intelligence platform into its next phase of development. This role requires close collaboration with our established US West Coast and London teams. We focus on delivering innovative capabilities and anticipating future technological trends.
DescriptionMinimum QualificationsLeadership and Management Experience: Proven ability to lead and run diverse teams, with a track record of fostering collaboration across organizations to achieve significant results, even under ambiguous conditionsExpertise in Graph technologies: Experience in building and scaling performant Graph systemsExpertise in Knowledge Graph and Machine Learning: substantial, proven and hands on experienceCustomer-Centric Design: Outstanding ability to translate sophisticated customer needs into effective data platforms that evolve and scale to provide increasing valueExperience in Data and Platforms: Familiarity of batch and streaming data processing technologiesKey QualificationsPreferred QualificationsProficiency in high-level languages, Java and GoLang are preferredStrong experience with container orchestration tools, such as KubernetesExperience operating database and graph technologies, such as Snowflake, Clickhouse and ArangoDBKnowledge of front-end technologies, for example ReactJSFamiliarity with real-time data processing frameworks such as Kafka, Spark, and FlinkExperience with workflow management tools like Apache AirflowWe are open to expertise in related technologies and programming languages to the above, recognising the value of a diverse group of backgrounds and potential for innovative solutions they bringEducation & ExperienceAdditional Requirements