About FWD Group

FWD Group is a pan-Asian life and health insurance business with more than 12 million customers across 10 markets, including some of the fastest-growing insurance markets in the world. The company was established in 2013 and is focused on changing the way people feel about insurance. FWD’s customer-led and digitally enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience.

For more information, please visit www.fwd.com

FWD Technology and Innovation Malaysia Sdn. Bhd., known as FWD TIM, was established in late 2019. Strategically located in Kuala Lumpur, FWD TIM serves as a pivotal shared service location within FWD Group, providing services to multiple markets across the Group. FWD TIM houses a diverse and talented workforce focused on essential business and technology services such as information security, cloud operations, IT solutions delivery, digital and data, actuarial, finance, investments, and customer service, among many others. FWD TIM is dedicated to drive and deliver operational excellence and efficiency, foster innovation and ensure regulatory compliance across all business functions as well as maintain a competitive edge in the market.

PURPOSE

This role offers an opportunity to gain hands-on experience in data engineering and work with a team of experienced professionals.
This role will assist in designing, developing, and maintaining our data infrastructure and pipeline

KEY ACCOUNTABILITIES

Data Pipeline Development: Assist in building, optimizing, and maintaining data pipelines to ensure efficient data flow and high data quality.
Data Integration: Support the integration of various data sources into our data warehouse.
Data Cleaning and Transformation: Participate in data cleaning, transformation, and enrichment processes to ensure data accuracy and usability.
Database Management: Help maintain and optimize data pipeline, ensuring optimal performance and consistency.
Technical Documentation: Contribute to the creation and maintenance of technical documentation, including data dictionaries, process documentation, and user guides.
Collaboration: Work closely with data analysts, data scientists, and other team members to understand data requirements and deliver data solutions.
Learning and Development: Continuously enhance your knowledge and skills in data engineering, staying up-to-date with industry trends and best practice

KEY PERFORMANCE INDICATORS

Demonstrated understanding of key concepts, technologies, and processes during the internship
Progress in technical and soft skills during the internship period (e.g., communication, problem-solving).

QUALIFICATIONS / EXPERIENCE

Currently pursuing a Diploma/ Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
Familiarity with SQL and relational database concepts is a plus.
Basic knowledge of programming languages such as Python, Java, or Scala.
Knowledge of ETL concepts and big data platforms (e.g., Hadoop, Spark) is a plus.
Good analytical and problem-solving skills.
Ability to work collaboratively in a team environment.

COMPETENCIES

Analytical skills
Good team work/player
Adaptability
Curiosity, Self-Motivation and Continuous Improvement.