Data Engineer – HR Analytics & AI-Ready Data

Role Overview

We are seeking an experienced Data Engineer to build and maintain secure, reliable, and scalable data pipelines, warehouse models, and analytical datasets supporting people insights.

What You Will Do

Develop and maintain secure, efficient data pipelines, build extraction, transformation, and loading infrastructure, integrate data from APIs, cloud systems, and other structured sources.

Why It Might Be a Fit

The strongest candidates will demonstrate applied depth, not only familiarity with tools, and be able to explain the architecture choices and tradeoffs behind the data platforms, pipelines, storage patterns, and AI-enabled capabilities.

Requirements

• 5+ years of relevant experience
• Hands-on Snowflake experience, including data modeling, datamarts, and data warehouse design
• Strong applied understanding of columnar data architecture and Parquet
• Hands-on dbt experience for data transformations
• Strong Python experience, including object-oriented programming and data scripting
• Hands-on Airflow experience for pipeline orchestration
• Experience integrating REST APIs and ingesting data from external sources
• Strong SQL skills, including highly optimized queries
• Comprehensive technical documentation skills
• Advanced English communication skills