Data Engineering, Specialist

At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.

Join us to create what comes next, grow through new experiences and extend your impact across Asia.

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.

• 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.

• 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.

• 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.

• 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.

- 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?

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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