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.