Why choose Logicalis
At Logicalis Asia Pacific, this is where you belong, grow, and thrive — at one of APAC's leading AI-driven technology integrators.
As the Architects of Change™, we combine global expertise with local insight to help organisations accelerate their journey toward becoming AI-ready enterprises. With 7,000+ professionals across 30 territories and more than 10,000 clients worldwide, we deliver lifecycle services across cloud, connectivity, collaboration, cybersecurity, and managed services — providing real-time visibility and intelligence across our clients digital ecosystems.
You'll belong as part of a collaborative regional team embedded within a global organisation. You'll grow through hands-on experience with the world's leading technology partners, supported by investment in certifications, consulting capability, and cross-border opportunity. And you'll thrive in a culture built on inclusion, trust, and continuous improvement.
Logicalis is proud to be a Great Place to Work® Certified™ organisation across multiple APAC markets — because the commitment we bring to our clients belongs equally to our people.
Join us and help shape the future of technology across APAC.
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 pipelines using:
- 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.
