Data Engineer Lead - Zurich Asuransi Indonesia

Zurich 56 Company Ltd; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading analytics firm in Jakarta is seeking a Data Engineering Lead to oversee the development of innovative analytical techniques. The ideal candidate will have over 5 years of experience in Data Engineering and strong leadership skills. Responsibilities include designing ETL pipelines, optimizing workflows, and implementing data governance standards. Join a dynamic team that values creativity and collaboration.

Qualifications

• 5+ years’ experience in Data Engineering with SparkSQL, Python, and PySpark.
• Proven track record in leading a data engineer team.
• Strong proficiency in dimensional modeling and star schema design.

Responsibilities

• Lead the development of analytic techniques to build data engineering capabilities.
• Complete diagnostics of project needs and recommend improvements.
• Establish and grow relationships with internal and external partners.

Skills

Data Engineering

SparkSQL

Python

CI/CD

Dimensional modeling

Cloud services (AWS, Azure, GCP)

GitHub

Databricks

Tools

Visual Studio Code

Job description

Job Summary

Leads the data engineer team in the development of distinctive analytical and risk insights that deliver improvements in business results through the application of advance analytical techniques to complex data sets.

Job Qualifications

• 5+ years’ experience in Data Engineering with SparkSQL, Python and PySpark for the workflow.
• Prove track record in leading data engineer team.
• Strong proficiency in dimensional modeling and star schema design for analytical workloads.
• Experience implementing automated testing and CI/CD pipelines for data workflows.
• Familiarity with GitHub operations and collaborative development practices.
• Demonstrated ability to optimize engineering workflow jobs for performance and cost efficiency.
• Experience with cloud data services and infrastructure (AWS, Azure, or GCP).
• Proficiency with IDE tools such as Visual Studio Code for efficient development.
• Experience with Databricks platform will be a plus.

Job Accountabilities - Key Accountabilities

Leadership Capabilities

• Leads the development of next-generation market leading analytic techniques to build the data engineering capabilities across the organization.
• Complete in-depth diagnostics of project needs issues and business drivers and recommend process and system improvement to enhance customer service.
• Develop propose and lead the implementation of data initiatives to improve processes develop policies and generate innovation to maintain regulatory compliance andor deliver process or product enhancements.
• Establish maintain and grow strong collaborative relationships with key internal and external partners leveraging relationships to drive ongoing improvements to the organizations data strategy.

Technical Capabilities

• Design and implement ETL/ELT pipelines using Spark SQL and Python within Databricks Medallion architecture.
• Develop dimensional data models following star schema methodology with proper fact and dimension table design, SCD implementation, and optimization for analytical workloads.
• Optimize Spark SQL and DataFrame operations through appropriate partitioning strategies, clustering and join optimizations to maximize performance and minimize costs.
• Build comprehensive data quality frameworks with automated validation checks, statistical profiling, exception handling, and data reconciliation processes.
• Establish CI/CD pipelines incorporating version control, automated testing including but not limited to unit test, integration test, smoke test, etc.
• Implement data governance standards including row-level and column-level security policies for access controls and compliance requirements.
• Create and maintain technical documentation including ERDs, schema specifications, data lineage diagrams, and metadata repositories.

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 are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! Join us as we constantly explore new ways to protect our customers and the planet.

• Location(s): ID - Head Office - MT Haryono