Data Engineer (E2)

Tokio Marine Insurance Group; Kuala Lumpur; On-site; MYR 90,000 - 180,000; Full time

Job summary

Jora Malaysia invites you to design, build and enhance enterprise dataplatforms, including Data Lakes, DataWarehouses, data pipelines and analytics solutions that power business decisions across the organisation.

You will transform data into insights through modern data engineering practices and automation, collaborate with business and technology teams, and contribute across the full solution lifecycle from idea to deployment and improvement.

Responsibilities

• Design, build and enhance enterprise dataplatforms, including Data Lakes, DataWarehouses, data pipelines and analytics solutions that power business decisions across the organisation.
• Transform raw data into meaningful insights through modern data engineering practices and automation.
• Collaborate with business and technology teams to solve real-world problems using data. Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
• Explore opportunities to improve data quality, performance, automation and operational efficiency.
• Gain hands-on experience with enterprise-scale data platforms while developing future-ready data engineering skills.
• Contribute to the organisation's ongoing data and analytics transformation journey.

Job description

Jora Malaysia will close on 16th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

• Design, build and enhance enterprise dataplatforms, including Data Lakes, DataWarehouses, data pipelines and analyticssolutions that power business decisions acrossthe organisation.
• Transform raw data into meaningful insightsthrough modern data engineering practicesand automation.
• Collaborate with business and technologyteams to solve real-world problems using data. Participate in the full solution lifecycle, fromidea and design through development, testing,deployment and continuous improvement.
• Explore opportunities to improve data quality,performance, automation and operationalefficiency.
• Gain hands-on experience with enterprisescale data platforms while developing futureready data engineering skills.
• Contribute to the organisation's ongoing dataand analytics transformation journey.