Data & AI Engineer at LogicalisUS · Kuala…

Why choose Logicalis? ****

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As Architects of Change, Logicalis' focus is to design, support and execute clients' digital transformation by uniting their vision with their technology expertise and industry insights. The company, through its deep understanding of key IT industry drivers such as security, cloud, data management and IoT, can address customer priorities such as revenue growth and business, operational efficiency, innovation, risk and compliance, data governance and sustainability.We strengthen our purpose: to design, support, and execute our customers' digital transformation by converging their vision with our technological expertise and knowledge of the industry. The brand refresh underpins both the evolution of Logicalis’ positioning as well as our strategic vision for growth.

Data Platform & Solution Development

• Design and implement end-to-end modern data architectures using Microsoft Fabric, including:
  • OneLake
  • Lakehouse
  • Data Warehouse
  • Data Engineering and Real-Time Analytics
• Design, build, and maintain relational and analytical databases to support reporting, analytics, and AI workloads.
• Develop and optimize data warehouse schemas (star/snowflake models).
• Develop data ingestion and transformation pipelinesusing:
  • Azure Data Factory / Fabric Data Pipelines
  • ELT/ETL patterns for structured and semi-structured data
• Optimize database performance, storage, and query efficiency.
• Independently manage and deliver assigned solution components with minimal supervision.

Power BI & Analytics

• Design and develop Power BI dashboards and reports for operational, management, and executive audiences.
• Build semantic models, implement DAX measures, and apply performance tuning best practices.
• Write and optimize SQL queries to support reporting and analytics requirements.
• Translate business requirements into insight-driven dashboards aligned with customer KPIs and outcomes.

Database & Data Management

• Work with relational databases (e.g. SQL Server, Azure SQL, PostgreSQL or equivalent).
• Experience with analytical databases / data warehouses integrated with Microsoft Fabric.
• Apply best practices for database design, indexing, data quality, and lifecycle management.
• Support data validation, reconciliation, and troubleshooting activities.

Data Governance & Security

• Apply data governance best practices, including:
  • Data classification and sensitivity labeling
  • Data lineage and impact analysis
  • Role-based access control and security policies
• Design solutions aligned with organizational governance, compliance, and regulatory requirements.

AI & Advanced Analytics

• Design and deliver AI and machine learning solutions leveraging Microsoft Fabric and Azure AI services.
• Support use cases such as:
  • Predictive analytics
  • AI-assisted insights
  • Generative AI and Copilot-style analytics experiences
• Proactively identify improvement opportunities and suggest innovative data or AI-driven solutions.

Pre-Sales & Customer Engagement

• Actively support pre-sales activities, including:
  • Customer discovery and solution workshops
  • Architecture whiteboarding (data, database, analytics, and AI layers)
  • Technical demos, PoCs, and pilot implementations
  • RFP and proposal technical responses
• Clearly communicate technical solutions to both technical and non-technical stakeholders.
• Work independently with customers and internal stakeholders to progress opportunities.

Delivery & Support

• Provide technical leadership during implementation and post-go-live phases.
• Deliver solutions independently or as part of a distributed regional team.
• Support multiple customers and engagements across the APAC region.

Required Skills & Experience

Education

• Bachelor’s Degree in Information Technology, Computer Science, or a related discipline.

Experience

• Minimum 3+ years of hands-on experience in data management, including databases, data integration, data modeling, data transformation, and analytics platforms.
• Proven ability to work independently, manage priorities, and deliver solutions with minimal supervision.
• Experience delivering data, database, or analytics solutions in enterprise environments.

Technical Skills

• Hands-on experience with Microsoft Fabric.
• Strong expertise in Power BI dashboarding, semantic modeling, DAX, and performance optimization.
• Strong SQL skills and hands-on experience working with databases and data warehouses.
• Proven experience in data transformation and orchestration using Azure Data Factory / Fabric Data Pipelines.
• Solid understanding of data warehousing and database concepts (star/snowflake schemas, indexing, query optimization).
• Experience with modern data engineering and ELT/ETL practices.
• Working knowledge of AI / machine learning solutions using Microsoft or Azure-based services.
• Familiarity with Microsoft Azure data and analytics services.
• Proficient in Python for data engineering and analytics use cases.
• Strong experience with PySpark and Spark-based data processing.

Soft Skills

• Excellent spoken and written English.
• Strong analytical, problem-solving, and decision-making skills.
• Self-motivated, proactive, and able to work independently.
• Comfortable working across cultures, countries, and time zones within APAC.