Regional Data Engineer Lead

Company Description

Collectius is Asia’s leading fintech company in debt management services, operating across Singapore, Indonesia, Philippines, Malaysia, Thailand, Vietnam, and India, and serving more than six million customers. The company manages consumer and SME non-performing loan portfolios valued at over US$7 billion, either owned by Collectius or by third parties. In partnership with the International Finance Corporation (IFC), Collectius promotes customer-centric, data-driven, and machine learning–enabled best practices in debt management. By helping banks and financial institutions offload non-performing loans, Collectius supports financial stability and enables continued credit flow for economic growth in the region. The company is majority-owned by its founders Gustav A. Eriksson and Ivar Björklund, with additional ownership by IFC, Stena AB, and Formica Capital.

Role Description

This is a full-time, on-site Regional Data Engineer Lead role based in Ho Chi Minh, Vietnam. The Regional Data Engineer Lead will design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and operational decision-making across multiple markets.

The role will oversee regional data architecture and modeling, ensuring data quality, consistency, security, and governance across various source systems and platforms.

This position will collaborate closely with data analysts, data scientists, product teams, and business stakeholders to translate requirements into robust data solutions and to optimize performance of data warehouses and data platforms. The Regional Data Engineer Lead will mentor and guide a regional team of data engineers, define best practices and standards, and drive continuous improvement in data engineering tools, workflows, and documentation. The role will also evaluate and implement new data technologies, support cloud migration initiatives, and troubleshoot complex data issues in a fast-paced fintech environment.

Duties

· Prepare data architecture for Collection data mart and features store.

· Lead and maintain Collection data mart for analysis.

· Lead and maintain Collection feature stores for scorecard development.

· Ensure data reconciliation process and data quality.

· Prepare ETL to construct Collection data mart and features store.

· Prepare ETL for data integration between DWH, DM and CRM system.

· Build ERD, data pipelines and ETL processes via SSIS.

· Ensure data accuracy and reliability as well as job performance, identify bottleneck and provide appropriate hotfixes to make sure no effect on daily operation.

· Ensure system and data integration with external services (Dialer adapter, Hadoop, and other Operational system) for daily operation (e.g., real-time dashboard, reporting and real-time scoring).

· Maintain sets of group reporting/ group presentation for BOD and external clients.

Qualifications

· University degree in MIS, BIS, IT, CS, Economy, Finance or relevant

· Good knowledge of ETL and Data analysis tools: SQL/ SSIS/ Python/ Spark/ R

· Intermediate or advanced knowledge of MS Excel

· Minimum 3 years of solid experience as Data Engineer Lead

· Experience in Hadoop, Spark, distributed systems are preferred

· Experience in the Consumer Finance industry or similar position (dealing with Collection, product development, marketing, project management, …) is preferred

· Good knowledge of verbal and written English language

· Problem solving and decision-making personality

· Good communication and presentations skills

· Proactive, flexible personality and adaptable for the changes

· Accuracy and self-reliance

· Proven experience in SQL scripting and data warehouse structure will be an advantage

· Experience with data workflow managers such as Airflow, Drake, or Luigi

· Collection processes

· Structural thinking and focus on the results

· Be able to work as a part of a team and independently