Senior AI & Data Engineer – BIC (Business Intelligence Center)

We are looking for a Senior AI & Data Engineer to lead the design, development, and scaling of data platforms and AI solutions that drive business value across retail & Wholesale operations. This role bridgesbusiness strategy + data infrastructure + AI/ML, ensuring data is reliable, accessible, and transformed intoactionable insights and intelligent automation.

Responsibilities:

AI & Advanced Analytics Enablement

• Develop and support AI/ML and Generative AI use cases (e.g., pricing, promotion, automation)
• Build and manage data pipelines for AI/LLM training and inference
• Partner with Data Science teams to productionize models
• Identify opportunities to embed AI into business workflows and decision-making
• Data Platform & Engineering Leadership
• Own end-to-end data architecture from data source to data warehouse/lakehouse
• Design and build scalable ETL/ELT pipelines (batch & near real-time)
• Ensure data reliability, quality, and governance (data dictionary, lineage, standards)
• Optimize database design for performance, scalability, and cost efficiency
• Analyze problem and find resolution, as well as work closely with team to monitor performance and
• advise any necessary infrastructure changes
• Develop big data solutions for batch processing and near real-time streaming
• Select and integrate appropriate tools and frameworks required to provide requested capabilities
• Keep abreast of new developments in the big data ecosystem and learn new technologies
• Team Leadership & Capability Building
• Manage and mentor data engineers, ML engineers, and analysts
• Build a high-performance, scalable data
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems
• Define best practices for coding, deployment, and documentation
• Ability to effectively work independently and handle multiple priorities

Qualifications:

• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology,
• Management Information System or an IT related field.
• 6+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable)
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick
• Experience in Python is a must
• Experience in Generative AI is a must
• Proven record in AI product development
• Knowledge in machine/statistical learning, data mining is a plus
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.