People Analytics Engineer: End-to-End Data & Dashboards

Apple

Cork

On-site

EUR 90,000 - 130,000

Full time

9 days ago

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Job summary

Apple is seeking a Senior Analytics Engineer to build and operate analytics products end-to-end. You will model data in Snowflake, develop Python services, and ship dashboards with strong data security and architecture standards.

You will work with senior leaders and global partners to deliver insights, build scalable pipelines, and automate deployments across Linux infrastructure, while applying agentic AI coding tools as the primary delivery method.

Qualifications

Deep SQL and Snowflake experience designing schemas and ETL pipelines.
Python backend development and data-processing automation.
Linux servers and SSH access with reverse proxy setup.
Containerization and deployment troubleshooting.
Experience with agentic AI coding tools and parallel sessions.
Proven data validation against live systems and strong privacy awareness.
Experience delivering analytics products, dashboards and reports.
Ability to partner with global stakeholders and senior leaders.

Responsibilities

Design, develop and deploy dashboards and analytics across the employee lifecycle.
Build data models and schemas in Snowflake to support reliable analytics.
Develop Python backends, APIs and frontends powering internal tools.
Create ETL/data-refresh pipelines between Snowflake and operational databases.
Automate build, containerization, deployment and config management on Linux.
Use agentic AI tools to scope, decompose, run parallel sessions, and review code.
Define and own metric definitions, ensuring consistency across surfaces.
Maintain technical docs and codebase context for AI tooling and teams.
Re-engineer analytics systems to improve simplicity, security and features.
Collaborate with People Analytics and tech teams to deliver solutions.
Respond to senior leaders with data-driven insights and recommendations.