Data Engineer — Build Scalable Health Analytics Pipelines

Materialise; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Materialise Medical is seeking a Data Engineer in Kuala Lumpur, Malaysia, to design and maintain scalable data pipelines supporting analytics and reporting. You will work with AWS services such as Glue, Athena, Lambda, Step Functions, S3, and DMS, collaborating with analytics teams, software engineers, and data consumers to deliver trusted data products.

The role emphasizes data quality, reliability, and continuous improvement of our data platform, with a focus on patient-centered healthcare

Qualifications

• Degree in Computer Science or related field or equivalent experience.
• Proficiency in Python and data pipelines.
• Strong analytical and problem-solving abilities.
• Ability to collaborate across teams.

Responsibilities

• Design, develop, and maintain data processing pipelines and data products for analytics and reporting.
• Monitor pipeline performance, troubleshoot failures, and improve reliability.
• Implement automated validation and data quality monitoring.
• Work with AWS services (Glue, Athena, Lambda, Step Functions, S3, DMS).
• Collaborate with analytics teams, software engineers, and data consumers.
• Contribute to ongoing monitoring and improvement of data platform reliability.

Education

Bachelor's degree in Computer Science / related field

Tools

Python

AWS

SQL

ETL/ELT

Data Pipelines

Job description

Materialise Medical is seeking a Data Engineer in Kuala Lumpur, Malaysia, to design and maintain scalable data pipelines supporting analytics and reporting. You will work with AWS services such as Glue, Athena, Lambda, Step Functions, S3, and DMS, collaborating with analytics teams, software engineers, and data consumers to deliver trusted data products.

The role emphasizes data quality, reliability, and continuous improvement of our data platform, with a focus on patient-centered healthcare