Associate Data Engineer

About the Role

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:

As a graduate or entry level of Data Engineer, you'll gain hands-on experience across three key areas:

1. 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.

2. 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.

3. 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.

• Tableau Certified Data Analyst/Specialist.

• 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.