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Zurich Insurance

Global insurer providing property, casualty, life

Data Engineer - Platform & Analytics

Data EngineeringConfirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listedIn-person

About the Job

Requirements

  • Strong SQL development and query optimization skills.
  • Experience with relational databases such as PostgreSQL, Oracle, and 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.
  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • Three to seven years of experience in data engineering, database development, or analytics engineering.
  • Ability to manage multiple priorities and deliver under tight timelines.
  • Ability to work independently while collaborating effectively across regional teams.

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.
  • 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.
  • 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.
  • 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.

Desired Qualifications

  • 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.

About the Company

Zurich Insurance

Global insurer providing property, casualty, life

Zurich Insurance Group provides global multi-line insurance for individuals, families, small and mid-sized businesses, public entities, and multinational corporations in more than 200 countries. Its Property & Casualty arm covers personal lines like car and home, plus a wide range of commercial coverages (property, casualty, motor fleet, marine, construction, energy, financial lines, international programs); its Life business offers protection, savings, retirement, and unit-linked products. The Farmers Group manages Farmers Exchanges in the United States. The company also provides risk engineering and prevention services to help customers reduce risk and build climate resilience, with products sold through agents, brokers, bank partners, and direct channels. Its goal is to provide financial protection and risk management solutions that help customers manage uncertainty and build resilience over the long term.

Company size
10,001+
Company stage
IPO
Headquarters
Zurich, Switzerland
Founded
1872

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