Data Engineer

Posted 2 Days Ago
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Petaling Jaya, Petaling, Selangor
Mid level
Healthtech • Biotech • Pharmaceutical
The Role
As a Data Engineer at Roche, you will build, optimize and maintain scalable data infrastructure to support data science, analytics, and business intelligence initiatives. Responsibilities include designing data pipelines, implementing data models in Snowflake, utilizing dbt for transformations, and supporting IT functions related to data science projects while ensuring data governance and quality.
Summary Generated by Built In

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

We are seeking a Data Engineer to join our pharmaceutical company’s data team. This role is essential in building, optimizing, and maintaining scalable data infrastructure to support data science, analytics, and business intelligence initiatives. The ideal candidate will have strong expertise in cloud platforms (AWS), Python programming, and modern data engineering tools such as Snowflake and dbt. Additionally, the candidate should have experience in database performance analysis, troubleshooting, and IT system implementation to enhance data quality and flow within the organization.

This position offers a unique opportunity to work with large-scale pharmaceutical and healthcare datasets, ensuring secure, compliant, and efficient data operations. At higher job levels, the candidate may contribute to the development and architecture of enterprise-wide IT solutions.

As a qualified Data Engineer, your key accountabilities;-

Data Engineering & Infrastructure

Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data.

Implement data models in Snowflake for efficient data storage, retrieval, and analytics.

Utilize dbt for data transformation, modeling, and governance.

Develop and maintain AWS-based data infrastructure (e.g., S3, Lambda, Glue, Redshift).

Optimize database performance, troubleshoot issues, and enhance data flow patterns.

Plan, design, and implement systems and infrastructures for improved data quality.

System & IT Support for Data Science Projects

Support data science and analytics teams by ensuring high-quality, well-structured data availability.

Perform IT functions, including system design, analysis, testing, debugging, and implementation of applications for data science projects.

Analyze, install, modify, and support operating systems, databases, and utilities software to enhance data processing capabilities.

Plan and conduct business problem analysis to be solved with automated data systems.
 

Process & System Optimization

Analyze and design improved data flow across the organization, ensuring efficiency and scalability.

Implement data governance and security measures to comply with pharmaceutical regulations.

Automate and orchestrate workflows using Airflow, Prefect, or similar orchestration tools.

Contribute to the development, testing, and evaluation of IT infrastructure architecture, particularly in higher-level roles.

Who You Are
 

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

3+ years of experience in data engineering or a related IT field.

Strong proficiency in Python for data processing and automation.

Hands-on experience with AWS cloud services (S3, Lambda, Glue, Redshift, etc.).

Experience with Snowflake for data warehousing and dbt for data transformations.

Proficiency in SQL for database design, optimization, and troubleshooting.

Knowledge of data orchestration tools (Airflow, Prefect, etc.).

Experience in IT system analysis, testing, and implementation related to data science projects.

Understanding of data governance, security, and regulatory compliance in the pharmaceutical industry.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

The Roche Services & Solutions as well as People Support Solutions organisations located in Kuala Lumpur provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the APAC region. Today Roche employs altogether around 1100 employees in Malaysia.

Roche is an Equal Opportunity Employer.

Top Skills

Python
SQL
The Company
New York, NY
93,797 Employees
On-site Workplace
Year Founded: 1896

What We Do

Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible.

Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management.

Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).

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