Associate Data Engineer

Cochlear; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A healthcare technology company in Kuala Lumpur is seeking a motivated graduate for a data engineering role within its Global Quality & Regulatory Team. This exciting position focuses on delivering data-driven solutions and maintaining the integrity of data assets. Candidates must hold a Bachelor’s degree in relevant fields and exhibit strong analytical and communication skills. Exposure to BI technologies and a proactive attitude are beneficial for success in this role.

Benefits

Collaborative work environment

Career development pathways

Involvement in data analytics and AI solutions

Qualifications

• Bachelor's degree in a relevant field is required.
• Knowledge in business analysis and problem-solving.
• Exposure to BI technologies including Tableau and AWS.
• Excellent communication skills to interact with users.
• Understanding of data structures and database schemas.

Responsibilities

• Provide data application support and ensure quality deliverables.
• Assist in developing high-quality data analytics solutions.
• Collaborate with stakeholders for data analytics opportunities.

Skills

Business analysis

Problem-solving skills

Communication skills

Attention to detail

Adaptability

Education

Bachelor’s Degree in Computer Science, Information Technology, Engineering

Tools

Tableau

Power BI

AWS

Snowflake

Jira

Informatica

Job description

Are you a curious and motivated graduate looking to kickstart your career in data engineering? This is an exciting opportunity to join our Global Quality & Regulatory Team, where you’ll learn, grow, and become a key contributor in delivering data-driven solutions that make a global impact.

Your role will be critical in maintaining the integrity and availability of data assets that support decision‑making across Q&R business functions worldwide. By ensuring timely updates and high data quality, you’ll help drive operational excellence and regulatory compliance.

Key Responsibilities

• Data Application Support
  • Provide high‑quality and timely support to data users.
  • Ensure all deliverables meet established quality standards.
  • Contribute to improving issue resolution times and operational KPIs.
  • Take ownership of issues within your assigned business area, driving resolution and ensuring formal closure.
• Data Asset Development
  • Assist in maintaining high‑quality data analytics solutions.
  • Communicate technical material effectively to data users.
  • Participate in designing optimal combinations of data sources.
  • Promote data quality through awareness, governance, and process improvement.
  • Learn and support end‑to‑end data asset delivery: requirements gathering, development, testing, documentation, and implementation.
  • Comply with global self‑service processes and contribute to technical documentation.
  • Participate in data quality audits and reporting.
• Business Partnering
  • Collaborate with Quality & Regulatory stakeholders to identify opportunities for data analytics and AI solutions.
  • Support a creative and cohesive working environment built on trust and open communication.
  • Be proactive in building stakeholder relationships and contribute as an active member of the Data Team.

Additional Responsibilities

• Follow relevant quality procedures and support continuous improvement initiatives.
• Undertake additional quality responsibilities (e.g., audits) when trained.
• Contribute ideas to improve systems and processes.
• Work safely, complying with all safety procedures and reporting hazards or incidents.

Key Requirements

• Open to fresh graduates with a Bachelor’s Degree in Computer Science, Information Technology, Engineering, or an equivalent field.
• Decent knowledge in business analysis and problem‑solving skills.
• Exposure to BI technologies such as Tableau, Power BI, AWS, or Snowflake.
• Excellent communication skills with confidence to interact with users.
• Understanding of data structures, modeling, and database schema.
• Adaptability and eagerness to learn new technologies and tools.
• Keen attention to detail and ability to work independently.

Nice‑to‑have Skills

• Knowledge of data lake and data warehouse concepts and design methodologies.
• Familiarity with Jira, Synapse, Salesforce, Snowflake, Informatica.

Certifications (if any)

• Microsoft Certified: Power BI Data Analyst Associate.
• Certified Business Intelligence Professional (CBIP).
• Certified Data Management Professional (CDMP).

The Attitude We Value

• Attention to detail – You notice the small things that make a big difference.
• Fast learner – You pick up new tools and concepts quickly.
• Flexible to changes – You adapt easily in a dynamic environment.
• Good communicator – You can explain technical ideas clearly.
• Decent English proficiency – You’re comfortable interacting in English with global teams.

What’s in It for You?

• Engage with business stakeholders at different levels.
• Expand your knowledge and skills in the fast‑growing data analytics and AI space.
• Be highly involved in the development and implementation of data analytics solutions.
• Work in a collaborative, supportive environment with clear career development pathways.