HR Data Engineer

Charoen Pokphand Foods (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

CPF operates integrated agro-industrial and food business, including livestock and aquaculture such as swine, broiler, layer, duck, shrimp and fish. The businesses are categorized into 3 categories, namely Feed, Farm and Food. The Company also operates retail and foods outlets.

About this position

The HR Data Engineer is responsible for designing, building, and maintaining the data infrastructure necessary to support HR analytics, reporting, and decision-making processes. This role involves working closely with HR, IT, and analytics teams to ensure efficient data flow, integration, and optimization across multiple systems, enabling data-driven strategies for talent management and organizational development.

Responsibilities

Key Responsibilities:
• Design, implement, and maintain robust data pipelines to integrate and process data from various HR systems (e.g., ATS, HRIS, payroll, and performance management tools).
• Build scalable and secure data architecture to support HR analytics and reporting needs.
• Ensure seamless data integration across multiple platforms, ensuring data accuracy and consistency.
• Collaborate with IT and vendors to manage APIs and other integration tools.
• Develop and enforce data quality standards, ensuring HR data integrity and security.
• Monitor, troubleshoot, and resolve data-related issues in a timely manner.
• Partner with HR Analytics and Business Intelligence teams to create and optimize dashboards, visualizations, and reports.
• Enable predictive analytics by preparing and organizing data for machine learning and statistical models.
• Work closely with HR and business leaders to understand data requirements and translate them into technical solutions.
• Train and support HR teams in accessing and interpreting data insights.

Requirements

Qualifications:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3–5 years of experience in data engineering, preferably with exposure to HR data systems.
• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or similar).
• Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica).
• Familiarity with HR software and platforms (e.g., SAP SuccessFactors, Workday, Oracle HCM).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data tools (e.g., Hadoop, Spark).
• Strong understanding of data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).