Senior Data & AI Analyst

Job Description: Senior Data & AI EngineerLocation: SingaporeEmployment Type: Full-Time, PermanentAbout the RoleWe are seeking an experienced Senior Data & AI Engineerto lead the build and operationalisation of a modern data platform across theAsia-Pacific region.This is a hands-on engineering role suited for someone whoenjoys designing scalable data infrastructure, building production-gradepipelines, and enabling advanced analytics and AI capabilities across theorganisation.You will take ownership of the data platform, ensuringrobust data pipelines, strong governance, and a high-quality foundation foranalytics and AI use cases.Key Responsibilities1. Data Platform EngineeringDesign, build, and optimise end-to-end data pipelines from multiple source systems (ERP, CRM, operational systems) Develop and maintain scalable data architectures (e.g. lakehouse, medallion architecture) Build and optimise pipelines using modern data engineering tools and frameworks Integrate data across cloud and on-premise environments Implement monitoring, alerting, and automated recovery for pipelines Establish standards, documentation, and best practices for data engineering 2. Data Quality & GovernanceImplement data validation, quality checks, and monitoring frameworks Establish data governance practices including lineage, ownership, and access control Define and enforce data standards and KPI consistency Ensure compliance with internal data policies and regional requirements 3. Analytics & Data ModellingDevelop and maintain semantic data models for reporting and analytics Support dashboarding and reporting platforms through structured datasets Collaborate with business stakeholders to translate requirements into data models Standardise definitions and ensure consistency across reporting outputs 4. AI & Advanced Analytics EnablementBuild and maintain a high-quality data foundation for AI and machine learning use cases Support integration of AI-driven features such as natural language query and analytics tools Collaborate with cross-functional teams on AI-related initiatives 5. Stakeholder & Project ManagementAct as the technical owner of the data platform Collaborate with internal teams, stakeholders, and external vendors Communicate progress, risks, and technical decisions clearly Mentor junior team members and promote best practices RequirementsExperience5–8 years of experience in data engineering, data platforms, or analytics engineering Proven experience building and maintaining data pipelines end-to-end Hands-on experience with modern data platforms (e.g. Azure, lakehouse architecture) Experience working with cross-functional or regional teams Experience managing vendors or implementation partners is a plus Technical SkillsStrong proficiency in Python (PySpark) and SQL Experience with: Data pipeline orchestration (ETL / ELT) Cloud data platforms (e.g. Azure Data Factory, Synapse, ADLS) Data modelling (star schema, medallion architecture) Experience with BI tools (e.g. Power BI) and semantic modelling Exposure to data governance tools and frameworks Familiarity with version control (e.g. Git) Understanding of AI/ML concepts and data integration EducationBachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field Key CompetenciesStrong problem-solving and engineering mindset High attention to detail and data quality Ability to work independently in a fast-paced environment Strong communication skills across technical and non-technical stakeholders Proactive, collaborative, and solutions-driven