Data Engineer - Platform & Analytics
Data engineer on Zurich's regional APAC edge platform data team in Kuala Lumpur, building and maintaining ETL/ELT pipelines, cloud data lakehouses, application databases, and BI dashboards/reports. Core tech: SQL, PostgreSQL/Oracle/SQL Server, AWS/Azure/Databricks, Power BI, and Git.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
- Bachelor's degree in Computer Science, IT, Data Engineering, or related field
- 3-7 years of experience in data engineering, database development, or analytics engineering
- 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 willingness to explore new technologies and AI capabilities
- Ability to work independently while collaborating effectively across regional teams
Nice to have
- 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
- Experience working in Agile delivery environments
Full description
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
- 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.