Data Engineer

Our client is a leading global professional services firm, part of the “Big Four” accounting firms, providing audit, tax, and advisory services. Operating in over 140 countries with more than 200,000 employees, and helps clients navigate complex business challenges across various industries, including financial services, healthcare, and technology. The firm emphasizes innovation, leveraging technology and data analytics, and is committed to sustainability and corporate responsibility. 

Responsibilities:  

• Perform data cleaning, preparation, reporting, and data analysis  
• Assemble large, complex sets of data that meet non-functional and functional business requirements  
• Perform data extraction, aggregation, and quality checking from multiple sources and tables in support of trend identification, root cause analysis, and validation of the performance measures  
• Support development and maintenance of a data pipeline and data warehouse  
• Support troubleshooting data pipeline and data warehouse issues  
• Create and maintain optimal data pipeline architecture  
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it  
• Design data integrations and data quality framework  
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues  

Qualifications:  

• Graduate of BS Mathematics, Computer Science, Information Management, Information Technology or Statistics  
• Has at least 3 years of experience in data engineering in a customer or business facing capacity  
• A strong understanding of data modelling, data structures, databases, and ETL processes  
• Strong technical understanding of Data Analytics concepts, data warehouses and marts reporting and visualizations  
• Experience using data extraction and analysis tools, such as SQL and Python  
• With at least one year experience in Power BI  
• Technical expertise regarding data models, database design, ETL development, and data mining  
• With skills in predictive modeling  
• General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operation  
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy  
• Possess excellent oral and written communication and interpersonal skills 

Work Setup: 

Shift: Dayshift (but must be amenable for a shifting schedule as well) 

Setup: Hybrid (Mostly WFH) 

Location: Makati City 

By Applying, you give consent to collect, store, and/or process personal and/or sensitive information for the purpose of recruitment and employment may it be internal to Cobden & Carter International and/or to its clients.