For Mobility IT Department in APAC region, we are looking for AI&Data Engineer to work together with us.

What are your responsibilities?

• Work with business teams to clarify and analyze data and analytics requirements, driving these into effective IT, data lake, or data warehouse solutions.
• Translate complex business needs into actionable technical requirements and high-impact data solutions.
• Champion the deployment and adoption of the company’s Data Management Framework across departments, ensuring best practices in data governance, security, quality, and compliance are followed.
• Build, maintain, and improve data processing solutions, leveraging Python, SQL, and cloud data platforms (such as Azure or AWS).
• Have Strong SQL skills and experience working with data warehouses (Snowflake preferred) and Proficiency in Power BI dashboard development and report creation.
• Design, build, and maintain scalable end-to-end data pipelines and analytics or AI/ML models, ensuring data readiness and quality for AI initiatives.
• Implement and support high-quality data modeling, solution design, and system architecture.
• Deeply understand company data (distribution, structure, meaning), conduct analyses, and propose ideas for data-driven insights and predictive solutions.
• Evaluate, adopt, and integrate new analytics and AI technologies that offer competitive edge and support business objectives.
• Build robust quality assurance and data protection methodologies into all data solutions.
• Liaise with IT, data engineering, business intelligence, and project teams for seamless solution delivery and implementation activities.
• Monitor, supervise, and enhance system infrastructure to ensure sustained functionality and efficiency.
• Aid departments in leveraging technology to maximize business value.

What do you need to qualify for this job?

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• 3+ years of relevant experience in data science, machine learning, or analytics projects.
• Extensive knowledge of analytics systems, especially cloud data platforms (Azure/AWS) and reporting tools (Qlik Sense, Power BI, Tableau).
• Strong data analytical skills to identify key business drivers and trends.
• Proficiency in Python, SQL, and other programming languages as needed.
• Hands-on experience in building data pipelines, data modeling, and implementing AI/ML solutions in business contexts.
• Basic understanding of software development principles, algorithm design, and coding best practices.
• Familiarity with data management frameworks and standards, including data governance, data quality, and metadata management.
• Strong understanding of data readiness requirements for AI initiatives.
• Excellent communication (oral and written, in English), teamwork, and presentation skills to effectively interact with global and regional teams.
• Experience with quality assurance, data protection, and compliance methodologies.
• Ability to discover, evaluate, and implement new technologies as needed.
• Demonstrated ability to deliver projects as part of a collaborative team.

Soft Skills:

• Demonstrated ability to effectively communicate technical concepts to non-technical audiences.
• Self-motivated professional with strong problem-solving skills and the ability to manage multiple tasks simultaneously.
• Highly detail-oriented, with an emphasis on continuous process improvement.