Job description
At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple’s employees are able to do the best work of their lives.
The People Analytics team is looking for a versatile, self-driven software engineer who has hands-on depth across the full stack, to craft, implement and operate analytics solutions that have direct and measurable impact to the teams that support our people.
This is a rare opportunity to be part of a dynamic team delivering analytics capabilities across the people domain, in the areas of recruitment, employee relations, people survey, talent planning and a number of other strategic focus areas for the organisation.
As a professional who combines deep analytics capability with full-stack software engineering, working with a diverse team of experts, imagine what you could do at Apple. As an analytics developer and engineer, you will play a pivotal role in the People Analytics team, working with data in the Apple enterprise data warehouse from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and build analytical products which drive a positive employee experience across Apple.
You work across the full spectrum - from modelling data in Snowflake and building dashboards that surface actionable insight, to developing Python-backed web services and automating workflows with Bash across Linux-based systems. You own solutions across the data, backend, frontend, API, and infrastructure layers - including the containers, daemons, ETL pipelines and internal Model Context Protocol (MCP) servers that power AI and system interoperability, applying best practices and sound technical judgement with a high degree of autonomy.
The People Analytics team is looking for a versatile, self-driven software engineer who has hands-on depth across the full stack, to craft, implement and operate analytics solutions that have direct and measurable impact to the teams that support our people.
This is a rare opportunity to be part of a dynamic team delivering analytics capabilities across the people domain, in the areas of recruitment, employee relations, people survey, talent planning and a number of other strategic focus areas for the organisation.
As a professional who combines deep analytics capability with full-stack software engineering, working with a diverse team of experts, imagine what you could do at Apple. As an analytics developer and engineer, you will play a pivotal role in the People Analytics team, working with data in the Apple enterprise data warehouse from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and build analytical products which drive a positive employee experience across Apple.
You work across the full spectrum - from modelling data in Snowflake and building dashboards that surface actionable insight, to developing Python-backed web services and automating workflows with Bash across Linux-based systems. You own solutions across the data, backend, frontend, API, and infrastructure layers - including the containers, daemons, ETL pipelines and internal Model Context Protocol (MCP) servers that power AI and system interoperability, applying best practices and sound technical judgement with a high degree of autonomy.