Data Engineering, Specialist

Innovate and shape what comes next.

About the Role

Report to: Manager, Data Engineer
Location: Ho Chi Minh
Function: Customer and Information Technology
Type: Individual contributor

THE OPPORTUNITY:

We are looking for a highly driven Data Engineering, Specialist to:

- Design, develop, and maintain scalable data pipelines, integration solutions, and data platforms that enable reliable, timely, and trusted data for business reporting, analytics, and decision-making.

- Support the organization's data strategy by ensuring the efficient ingestion, transformation, storage, and accessibility of enterprise data within the Data Warehouse and data ecosystem.

- Collaborate with business and technology stakeholders to deliver high-quality data solutions that support operational excellence, regulatory compliance, and advanced analytics initiatives.

Roles and Responsibilities:

Data Engineering & Integration

• Design, develop, and maintain robust data pipelines, ETL/ELT processes, and data integration solutions across multiple source systems.
• Build and optimize scalable data models, data warehouses, and data marts to support reporting and analytical requirements.
• Ensure data is processed, transformed, and delivered efficiently while meeting performance and availability requirements.

Data Quality & Governance

• Implement data quality controls, validation rules, monitoring mechanisms, and reconciliation processes to ensure data accuracy and integrity.
• Adhere to enterprise data governance, security, privacy, and regulatory requirements in managing data assets.
• Support data lineage, metadata management, and documentation standards across the data lifecycle.

Solution Delivery & Stakeholder Management

• Partner with business users, data analysts, data scientists, architects, and application teams to understand data requirements and deliver fit-for-purpose solutions.
• Participate in project delivery activities, including solution design, development, testing, deployment, and production support.
• Troubleshoot data issues and provide timely resolution to minimize business disruption.

Continuous Improvement & Innovation

• Monitor and optimize data pipeline performance, scalability, and reliability.
• Identify opportunities to automate manual processes and improve operational efficiency.
• Stay current with emerging data engineering technologies, industry trends, and best practices, recommending improvements where appropriate.
• Maintain comprehensive technical documentation and knowledge-sharing materials.

Job Requirements

- Education: BSc degree in computer science. Data Engineering, Information Systems, Mathematics or relevant fields

- Experience: 3-5 years of experience as a Data Engineer or similar role within the life insurance industry or other relevant financial services sector.

- Experience with Data warehouse: Databrick, Spark.

- Experience with Business Intelligence: Power BI

- Expert-level SQL: SQL Server, SQL Databrick.

- Experience in programming language - Python, Spark

- Experience with Git source control.

- Experience with building data models special on insurance domain.

- Hands-on experience of working with Data projects that have a complete CI/CD system.

- Experience with ETL tool: Azure Data Factory, Airflow.

- Ability to influence both technical and business peers and stakeholders.

- Lead by example - jump on the tools when required to support the team.

- Demonstrated problem-solving skills and a results-oriented mindset.

Thrill: what potential is this position able to move to next level or take the next role