Senior Data Engineer for Actuarial Risk & Analytics

PwC; Kuala Lumpur; On-site; MYR 80,000 - 110,000; Full time

Job summary

A global professional services firm is seeking a Senior Associate in Actuarial Services to lead data engineering efforts. You will develop data pipelines, work with advanced analytics, and collaborate closely with internal teams. The ideal candidate has over 4 years of experience in Python and SQL, along with strong analytical skills. Join us to support clients in navigating financial risks and regulatory landscapes.

Qualifications

• 4+ years of experience in data engineering with a strong proficiency in Python and SQL.
• Experience with cloud platforms like AWS and Azure.
• Understanding of data modeling and relational database design.

Responsibilities

• Lead development and optimization of complex data pipelines.
• Design and implement scalable data solutions using cloud platforms.
• Support data scientists by preparing data for machine learning models.

Skills

Data engineering

Python

SQL

Cloud platforms (AWS, Azure, Google Cloud)

Machine Learning concepts

Data modeling

Analytical skills

Education

Bachelor’s or Master’s degree in quantitative fields

Tools

ETL tools

Spark

Databricks

Airflow

Power BI

Tableau

Job description

A global professional services firm is seeking a Senior Associate in Actuarial Services to lead data engineering efforts. You will develop data pipelines, work with advanced analytics, and collaborate closely with internal teams. The ideal candidate has over 4 years of experience in Python and SQL, along with strong analytical skills. Join us to support clients in navigating financial risks and regulatory landscapes.