Data Analytics Engineer

Full Time Regular position

Work Setup: Hybrid, working onsite once a week

Work Location: BGC, Taguig and Ayala Makati sites

Working Hours: follows Australian hours

Design, operationalise, and continuously improve scalable, data driven managed services and reporting solutions for enterprise customers, with a primary focus on Microsoft Fabric and Power BI, ensuring reliable, repeatable, and governed analytics services.

Job Responsibilities:

• Design and deliver Microsoft Fabric and Power BI solutions (Lakehouse, Data Engineering, Real-Time Analytics) that meet agreed requirements for performance, scalability and supportability[NP1.1].
• Implement scalable data models and semantic layers that standardise definitions and enable consistent reporting across customer stakeholders.
• Enable both real-time and batch analytics capabilities aligned to priority customer use cases, with clear acceptance criteria and operational handover.
• Define and maintain standard data models and measurement frameworks that enable automated ingestion, calculation and reporting from nominated customer system sources (e.g., ITSM), reducing custom build effort across customers.
• Design reusable service components (datasets, semantic models, report templates, runbooks) that can be deployed across multiple customers with minimal rework.
• Execute and continuously improve daily, weekly and monthly run activities to maintain service reliability, data quality and reporting accuracy, including:
• Monitoring, triage and optimisation of data pipelines
• Dataset refresh management and performance tuning
• Reporting validation and proactive stakeholder engagement
• Cost, capacity and usage optimisation
• Deliver automation that reduces manual effort, improves consistency and increases deployment confidence, using:
• Microsoft Fabric pipelines, Dataflows Gen2 and notebooks
• Power BI deployment pipelines
• Azure-native automation (Logic Apps, Functions, DevOps pipelines)
• Contribute to Infrastructure-as-Code and CI/CD practices for data environments to support repeatable builds, controlled releases and auditability.
• Define and communicate clear in-scope vs out-of-scope boundaries for managed analytics services to support consistent delivery and change control.
• Implement and maintain governance controls across data platforms to meet agreed security and compliance requirements, including:
• Access control and role-based access (RBAC)
• Data lineage, auditability and operational documentation
• Alignment with security baselines and platform standards
• Identify, record and reduce operational and data risks through proactive monitoring, issue management and continuous improvement actions.
• Design or contribute to a control plane for multi customer data management.

Requirements

Key Experience, Skills & Abilities

Experience

• A minimum of 5 years’ experience within a data engineering, analytics or data science role, preferably within a medium to large ICT organisation.
• Experience in effectively resolving technical issues and contributing to solution outcomes.
• Experience following technical processes, standards, and compliance requirements.
• Experience working in environments governed by SLAs and meeting service expectations.
• Applied knowledge and experience with Microsoft Fabric (Lakehouse, pipelines, notebooks, Real-Time Analytics), Power BI (data modelling, DAX, governance, performance tuning), Azure data ecosystem (ADF, Synapse, Entra ID, storage, networking), automation, DevOps, and CI/CD for data platforms, Azure Lighthouse and multi-tenant management models, ServiceNow data types and exports, ITSM integration for operational workflows.
• Experience designing or supporting Managed Services, preferably within or alongside a Managed Services Provider (MSP).
• Proven ability to design scalable, repeatable solutions across multiple customers.
• Experience interpreting technical requirements, configuring, implementing and/or supporting solution delivery.
• Understanding of technical standards, best practices, and product/service capabilities.
• Experience using business systems, tools, or ticketing platforms.
• Highly developed technical aptitude.

Skills

• Highly developed critical thinking, analytical and problem resolution skills.
• Accurate and concise documentation and technical record keeping skills.
• Experience working both autonomously and within a team environment.
• Integrity in dealing with personnel, customer and supplier issues.
• Effective oral and written communication skills to ensure clear and accurate communication with all internal and external stakeholders, at all organisational levels.
• Highly developed organisational and time management skills, with the ability to manage conflicting priorities while maintaining a high level of attention to details.
• Highly developed computer literacy with proficiency across the Microsoft Office suite.
• Highly developed interpersonal skills.

Key Qualifications, Certifications & Training

Qualifications

• Background with Statistics, Engineering or Computer Science or Fabric Certification or Microsoft Fabric Analytics Engineer Associate (DP-600) or Microsoft Azure Data Scientist Associate (DP-100) or Microsoft Power BI Data Analyst Associate (PL-300) or Azure AI Engineer Associate (AI-102)