Data Engineer (DST)

MOH OFFICE FOR HEALTHCARE TRANSFORMATION PTE. LTD.; Pasir Panjang; On-site; MYR 100,000 - 150,000; Full time

Job summary

A healthcare transformation agency in Malaysia is looking for a Data Engineer to lead the design and maintenance of data pipelines for healthcare analytics. The role requires a strong background in data engineering with at least 8 years of experience, proficiency in cloud platforms, and excellent leadership skills. Ideal candidates will help optimize data processes and collaborate closely with various teams to drive data-driven decisions.

Qualifications

• 8+ years of experience in data engineering with strong data pipeline management.
• Hands-on experience with AWS or other cloud platforms desirable.
• Experience with healthcare data standards is a plus.

Responsibilities

• Lead design and development of data pipelines for healthcare analytics.
• Collaborate with teams to translate data needs into solutions.
• Ensure data quality and governance across platforms.

Skills

Cloud-based data platforms

Data pipeline tools (Apache Airflow, Kafka, Spark)

Strong SQL skills

Python programming

Data governance and compliance

Leadership

Education

Bachelor’s degree in Computer Science, Data Engineering, or Information Systems

Tools

AWS

Snowflake

Redshift

BigQuery

Job description

MOHT envisions a transformed health system that is patient-centric, data-driven and digitally-enabled to better empower health, prevent disease and provide excellent value-based care. To realise this vision, MOHT’s mission is to design and implement innovative solutions essential for the desired health system transformation.

Technology plays a significant role in MOHT’s projects and experiments, and in its operating environment. MOHT adopts an agile approach using rapid and continuous build-measure-learn cycles that identify, develop, deliver and adapt technology to improve health. They work closely with IHiS and implementation partners. This allows MOHT’s teams to be responsive to real needs, as demonstrated by actual data, and nimble in evolving prototypes and scalable solutions.

The main tools being used are:

1. Agile development on cloud based environment
2. Digital solution architecture design, development and operation
3. Data analytics and modelling to understand healthcare flows and resource usage
4. Artificial Intelligence

Current Initiatives:

• Digital application for mental wellness
• Passive and active sensing tools for patient lifestyle understanding and improvement
• Tele-health monitoring solutions for connected care
• Mobile patient and clinical applications
• Digital phenotyping
• Data analytics, including for patient flow analysis

JOB RESPONSIBILITIES

• Lead the design, development, and maintenance of scalable and secure data pipelines and architectures to support healthcare analytics and digital health solutions.
• Collaborate with cross-functional teams to understand data needs and translate them into robust data engineering solutions.
• Manage and optimize data ingestion, transformation, and storage processes across structured and unstructured data sources.
• Ensure data quality, integrity, and governance across all data platforms.
• Drive the adoption of best practices in data engineering, including CI/CD, testing, and monitoring.
• Mentor and guide junior data engineers and contribute to team capability building.
• Work closely with data scientists, analysts, and application developers to enable data-driven decision-making.
• Document data workflows, architecture, and operational procedures for knowledge sharing and continuity.

JOB REQUIREMENTS

Required:

• Bachelor’s degree (or above) in Computer Science, Data Engineering, Information Systems, or a related field.
• At least 8 years of experience in data engineering, with a strong background in building and managing data pipelines and architectures.

Must have:

• Hands-on experience with cloud-based data platforms (AWS preferred or Azure, or GCP).
• Proficiency in data pipeline tools (e.g. Apache Airflow, Kafka, Spark).
• Strong SQL skills and experience with relational and NoSQL databases.
• Strong Python programming skills
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with data governance, security, and compliance in healthcare or regulated environments.
• Plus: Experience with healthcare data standards (e.g., FHIR, HL7) and DevOps practices.
• Leadership: Ability to lead data engineering initiatives, coordinate with stakeholders, and manage project timelines and deliverables.
• Good communication skills, both written and verbal.