People Analytics - Data Engineer | Hybrid | Night Shift | Weekends Off

Build the Data Foundations Behind Global Workforce Decisions

Data is only powerful when it drives smarter decisions. As a People Analytics - Data Engineer, you'll build the workforce data foundations that influence talent strategies across a global organization. Supporting a leading real estate technology company, you'll transform complex HR data into actionable insights while enjoying a long-term global career with Emapta, designed for top 1% talent seeking growth and impact.

Snapshot

Work Setup: Hybrid, Ortigas, (MF Remote, TWTH Onsite)

Shift: Night Shift, Weekends Off, 7:00pm - 4:00am/9:00am - 6:00pm EST

• Day 1 HMO coverage with free dependent
• Competitive Salary Package
• Night differential pay to maximize your earnings
• Hybrid work arrangement
• Fixed weekends off
• Prime office location in Ortigas (Easy access to MRT stations, restaurants, and banks)
• Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

• 1 to 5 years of significant experience in data analytics, analytics engineering, HRIS, data engineering, or related roles
• Experience in HR Analytics, People Analytics, or Workforce Analytics environments
• Advanced proficiency in Power BI and data visualization tools
• Strong stakeholder management and cross-functional collaboration skills

• Strong experience in data pipeline development, ETL processes, integration design, and data modeling
• Experience working with Workday and HR data structures
• Experience using APIs and integration tools to manage and maintain cross-system data flows
• Strong understanding of data governance, data quality, privacy, and compliance frameworks
• Ability to work independently and communicate technical concepts effectively to non-technical stakeholders

• Experience with BI, reporting, or analytics platforms beyond Power BI
• Exposure to cloud data platforms such as Snowflake, Azure, or AWS
• Experience supporting predictive modeling or advanced analytics initiatives

• Experience working within multinational organizations supporting employees and systems across multiple countries

Responsibilities

• Design, build, and maintain scalable data pipelines connecting HR systems such as Workday, Culture Amp, and Cornerstone
• Develop and maintain a unified people data layer by aligning data models, identifiers, and definitions
• Manage data ingestion, transformation, storage, and integration across HR and enterprise systems

• Own people data architecture, including schemas, lineage, and documentation
• Establish and maintain data quality, validation, governance, and compliance standards
• Partner with Information Security and IT teams to protect sensitive employee data and ensure adherence to privacy regulations

• Deliver reliable datasets that support workforce analytics, reporting, forecasting, and planning initiatives
• Monitor data usage, adoption, and system performance to enhance analytics capabilities and insights delivery

• Partner with HR stakeholders and global teams to translate business requirements into scalable data solutions
• Communicate technical concepts and data insights clearly to HR and business leaders

• Identify and implement automation opportunities to improve data processes and operational efficiency
• Leverage AI and modern data engineering practices to enhance scalability and performance
• Support data literacy initiatives through self-service tools and standardized data definitions

• Monitor and maintain HR data pipelines, integrations, and related data processes
• Troubleshoot data quality and system integration issues
• Prepare and manage datasets for workforce analytics, dashboards, and reporting
• Collaborate with HR, IT, and Information Security teams on data requests and system enhancements
• Document data processes and maintain compliance with governance standards
• Implement workflow automation and process improvements where applicable

• Maintaining data accuracy, quality, and compliance across HR systems
• Troubleshooting data pipeline, integration, and system connectivity issues

About the Client

Renowned for driving digital transformation in PropTech, our client continues to deliver cutting-edge, data-driven solutions while fostering a collaborative, people-first culture that champions growth, inclusion, and meaningful global impact.

Join the Top 1% Talent. A better career. A better life.

Collaborate with global teams, build meaningful expertise, and grow in a culture that prioritizes both performance and well-being.

Apply now and experience the difference!