Data Engineer - Platform & Analytics at Zurich Insurance

Zurich Insurance; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Zurich Insurance seeks a Data Engineer – Platform & Analytics to join our APAC regional edge platform data team. You will deliver end-to-end data solutions, including databases, data lakehouses, pipelines, and dashboards, partnering with stakeholders to enable reliable analytics and self‑service reporting.

The role emphasizes data governance, security, and scalable architecture across cloud platforms, with opportunities for growth as data capabilities mature in the region.

Qualifications

• Bachelor's degree required in CS/IT/Data Eng or related field
• 3–7 years of experience in data engineering, database development, or analytics engineering
• Experience in Agile delivery environments preferred

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes.
• Support and optimize cloud-based data platforms, databases, and data lakehouses.
• Build scalable data integration solutions across multiple source systems.
• Ensure data quality, reliability, monitoring, and operational excellence across data assets.
• Manage data ingestion, transformation, and delivery processes.
• Database Administration & Support; troubleshoot and tune databases.
• Assist with performance tuning, access management, and ops support.
• Implement data security, governance, and compliance requirements.
• Support deployment, release activities, and production issue resolution.
• Collaborate with stakeholders to understand reporting requirements.
• Develop and support dashboards, reports, and analytical datasets.
• Translate business requirements into scalable data models and reporting solutions.
• Enable self-service reporting through governed datasets.
• Contribute to data standards and platform improvements.
• Implement monitoring, alerting, and operational controls.

Skills

SQL development

Relational databases

ETL/ELT pipelines

Cloud data platforms

Data warehousing concepts

Power BI

Git

Education

Bachelor's degree in Computer Science/IT/Data Engineering

Tools

PostgreSQL

Oracle

SQL Server

Databricks

Delta Lake

Spark

Power BI

Git

Job description

This Full time on site position offers great opportunities for career growth.

About the Role

We are looking for a Data Engineer – Platform & Analytics to join our regional edge platform data team supporting digital business across Asia-Pacific. This role sits within a technical team closely aligned with application development and is responsible for delivering end‑to‑end data solutions, including application databases, data lakehouse platforms, data pipelines, data sharing, and business reporting. The successful candidate will play a key role in supporting and enhancing our data ecosystem while partnering with business stakeholders, application teams, and regional data consumers to deliver reliable, scalable, and high‑quality data solutions.

Key Responsibilities

• Data Platform & Engineering Design, develop, and maintain data pipelines and ETL/ELT processes.
• Support and optimize cloud-based data platforms, databases, and data lakehouses.
• Build scalable data integration solutions across multiple source systems.
• Ensure data quality, reliability, monitoring, and operational excellence across data assets.
• Manage data ingestion, transformation, and data delivery processes.
• Database Administration & Support Support application databases and perform database troubleshooting.
• Assist with database performance tuning, access management, and operational support.
• Implement data security, governance, and compliance requirements.
• Support deployment, release activities, and production issue resolution.
• Analytics & Reporting Collaborate with business stakeholders to understand reporting requirements.
• Develop and support dashboards, reports, and analytical datasets.
• Translate business requirements into scalable data models and reporting solutions.
• Enable self‑service reporting through well‑structured and governed datasets.
• Platform Governance & Continuous Improvement Contribute to data standards, best practices, and solution standardization initiatives.
• Implement monitoring, alerting, and operational controls for data solutions.
• Support automation and AI‑driven opportunities to improve delivery efficiency.
• Participate in architecture reviews and platform improvement initiatives.

Required Skills & Experience

Technical Skills

• Strong SQL development and query optimization skills.
• Experience with relational databases such as PostgreSQL, Oracle, SQL server.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with cloud data platforms such as AWS, Azure, or Databricks.
• Familiarity with data warehouse concepts and dimensional modelling.
• Experience with reporting and visualization tools such as Power BI.
• Exposure to version control tools such as Git.

Preferred Skills

• Experience with Databricks, Delta Lake, and Spark.
• Experience with AWS services such as Glue, S3, Lambda, and IAM.
• Knowledge of data governance, security, and access control practices.
• Familiarity with CI/CD and DevOps practices.
• Experience using AI‑assisted development tools such as GitHub Copilot.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 3–7 years of experience in data engineering, database development, or analytics engineering.
• Experience working in Agile delivery environments is preferred.

Key Competencies

• Strong problem‑solving and analytical skills.
• Ability to manage multiple priorities and deliver under tight timelines.
• Excellent stakeholder management and communication skills.
• Strong ownership mindset and accountability.
• Continuous learning attitude with a willingness to explore new technologies and AI capabilities.
• Ability to work independently while collaborating effectively across regional teams.

What You’ll Gain

• Exposure to regional APAC data initiatives.
• Opportunity to work across data engineering, platform operations, and analytics.
• Hands‑on experience with modern cloud and data technologies.
• Opportunities for career growth through role ownership and specialization.
• Involvement in strategic data and AI initiatives supporting business transformation.

You are the heart & soul of Zurich! At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know‑how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. Let’s continue to grow together!

Location(s): MY - Kuala Lumpur

Schedule: Full Time