HR Data & Automation Engineer (Project Based)
Core
Design and implement automated HR data workflows to clean, reconcile, and structure employee master data and historical leave records across multiple sources.
Role type
Project-based HR Data & Automation Engineer
Builds
Auditable, maintainable, and scalable automated leave management workflows and standardized employee master data structures
Domain
Human Resources / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data cleaning and reconciliation, HRIS platform experience, Google Workspace automation (Forms, Sheets), Data governance and validation, Access control design, Audit trail implementation, Process documentation, Independent project management
Preferred skills
HR system-to-system integration, Multi-country data structure scaling, RFQ preparation
Technologies
Google Workspace (Forms, Sheets), HRIS platforms
Responsibilities
Review existing employee and HR data sources to identify duplicates, inconsistencies, and structural gaps; Define and implement a standardized employee master-data structure; Aggregate, clean, reconcile, and verify historical leave records from multiple sources; Design and implement a future-state leave management workflow covering requests, approvals, and balance tracking; Automate HR workflows using Google Workspace tools or recommend stronger alternatives; Establish ownership models, validation controls, and audit trails for sensitive HR data; Document data structures, workflows, and maintenance procedures for replication across branches.
