← All roles

People Analytics Full Stack Developer

Apple· Corporate Functions
Apply on company site
Hybrid (Cork)Full-timePosted 4w ago

About the role

Role building and running analytics products end to end for Apple’s People Analytics team. This includes modeling data in Snowflake, developing Python web services and APIs, building dashboards, and automating deployment across Linux infrastructure. Uses agentic AI coding tools as a primary delivery method while ensuring sound architecture, data security, and accurate analytics.

Responsibilities

  • Design, develop and deploy reports, dashboards and analytics across the employee lifecycle, enabling data-driven decisions for business partners and leadership.
  • Build and optimize data models, schemas and views in Snowflake and relational databases to support reliable, high-quality analytics products.
  • Develop and maintain Python backends, APIs and web frontends that power internal people tools and employee-facing applications.
  • Build and operate ETL and data-refresh pipelines between Snowflake and operational databases, including scheduling, incremental refresh, caching and data-integrity validation.
  • Automate build, containerization, deployment and configuration management across Linux-based infrastructure.
  • Deliver engineering work with agentic AI coding tools as the primary development method: scoping and decomposing tasks so several sessions can run in parallel, then reviewing and correcting the generated code before it ships.
  • Establish and own metric definitions: determine how each measure is calculated, keep the same metric reporting identical wherever it appears, and validate figures against source data before release.
  • Maintain the technical documentation and codebase context that keep a large reporting estate workable, for colleagues and for AI tooling alike.
  • Re-engineer existing analytics and reporting systems to improve simplicity, standardization and security, alongside delivering new features.
  • Partner with People Analytics colleagues and internal technology teams to deliver analytics solutions.
  • Responding to senior business leaders directly on analytical questions, providing data insights and recommendations to support decision making.

Qualifications

  • Deep SQL and Snowflake experience: designing schemas, optimizing queries, and building ETL pipelines, including incremental refresh and caching strategies.
  • Python experience spanning backend web services, APIs, and data-processing automation.
  • Hands-on Linux experience operating servers independently: working over SSH, running long-lived services behind a reverse proxy, and diagnosing problems with processes, networking, file systems, and performance.
  • Container experience covering image build and deployment, as well as troubleshooting networking, storage, and runtime issues.
  • Daily production experience with agentic AI coding tools (such as Claude Code), including running parallel sessions and reviewing generated code to identify edge cases, incorrect output, and unsound patterns before shipping.
  • A track record of confirming data and system behavior by measuring against the live system rather than inferring it from documentation, naming conventions, or generated explanations.
  • Experience developing and maintaining analytics products, reports, and dashboards, including dashboard visualization development.
  • Experience handling employee data or other sensitive personal data under row-level security and data-access restrictions, with a strong understanding of legal data privacy responsibilities, duty of care, and accountability.
  • Proven autonomy: experience owning delivery end-to-end with minimal direction, choosing the approach, and making implementation decisions independently.
  • Experience delivering to competing deadlines and shifting priorities without loss of data accuracy, while proactively setting expectations with stakeholders on scope and timing.
  • Ability to partner effectively with colleagues and partners across different global regions.
  • Ability to operate at a senior leader/executive level within the organization, providing data clarity and actionable insights.

Skills

Required:SQLSnowflakePythonLinuxContainerizationAgentic AI toolsData privacy & governanceDashboard visualizationCommunication with senior leaders

Benefits

  • Accessibility and inclusive culture
  • Competitive benefits reflecting Apple’s standards
Last updated Sep 25, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11

More open roles at Apple