Data Engineer (Microsoft Fabric) | WFH | Day Shift | Weekends Off | Day 1 HMO

Emapta; Metro Manila; Remote; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Day 1 HMO coverage with free dependent

Competitive Salary Package

Day Shift Schedule

Permanent WFH arrangement

Fixed weekends off

Salary Advance Program

Upskilling via Emapta Academy

Gym access and trainer

Lifestyle perks

Employee referral incentives

Government and Emapta benefits

Annual leave: 20 days

Mentorship and exposure to globalLeads

Career growth opportunities

Job summary

Emapta is seeking a Data Engineer (Microsoft Fabric) to design and maintain scalable lakehouse architectures and secure analytics solutions for a global client. You will develop production data pipelines, utilize OneLake and Fabric Data Factory, and deliver Power BI insights while collaborating with international teams from a work-from-home setup.

Join a team focused on advanced data engineering, governance, security, and continuous learning, with clear growth pathways and a permanent WFH

Qualifications

• 3 to 5 years of relevant experience in data engineering with Microsoft Fabric and enterprise data solutions.
• Proven experience in the development and support of production data pipelines, lake houses, and data warehouses within Microsoft Fabric.
• Strong proficiency in SQL and Python/PySpark, with practical experience in data transformation, query optimization, debugging, and source control.
• Hands-on experience with Fabric Data Factory, notebooks, OneLake, and lakehouse or warehouse workloads, complemented by Power BI and Fabric Apps delivery experience.
• Experience in database, API, and file integration; incremental data loads; dimensional modeling; and the implementation of data quality, identity, security, and privacy controls.
• Experience in production system support, including monitoring, troubleshooting, incident response, and continuous improvement.
• Experience in outsourced or distributed team environments, with the ability to meet client priorities, project deliverables, acceptance criteria, and support requirements

Responsibilities

• Translate approved business requirements into practical data engineering tasks, effort estimates, and technical designs, with clearly defined dependencies and acceptance criteria.
• Escalate proposed scope changes for review and approval.
• Build and maintain Microsoft Fabric pipelines, notebooks, lakehouses, and warehouses for production data workloads.
• Develop and optimize SQL and Python/PySpark transformations and reusable data ingestion components for enterprise systems, databases, files, and APIs.
• Transform Silver-layer data into reusable, analytics-ready Gold-layer models within Microsoft Fabric.
• Apply approved business definitions, incremental data processing techniques, and appropriate data aggregations.
• Apply Kimball dimensional design principles to define business processes and fact-table granularity.
• Develop star schemas with conformed dimensions, surrogate keys, and slowly changing dimensions where appropriate.
• Support Power BI semantic models, measures, and standard reports that use Gold-layer data.
• Validate data refresh processes, filter behavior, and aggregation accuracy across Power BI solutions.
• Collaborate with report developers and application specialists to develop and maintain Fabric Apps connected to approved data products.
• Maintain data engineering as the primary technical focus throughout application integration and delivery.
• Implement data quality checks, reconciliation controls, and procedures to manage incomplete, duplicate, or invalid records.
• Maintain data model definitions, relationships, source-to-target mappings, data lineage, and operational runbooks.
• Transfer technical knowledge to support governance reviews, service continuity, planned absences, and provider transitions.
• Apply approved identity management, least-privilege access, secrets management, and remote-access controls.
• Use authorized workspaces, connectors, data sources, and storage locations; prevent unauthorized local copies or data transfers and elevate exceptions.
• Monitor data reliability and access controls, and support the resolution of data quality, security, privacy, and compliance issues.
• Execute functional, integration, performance, and security tests to verify solution quality and reliability.
• Document test evidence, resolve defects, and support client-led user acceptance testing (UAT) and release approvals.
• Use client-controlled repositories, code reviews, and repeatable deployment processes.
• Maintain source code and configuration files to support environment promotion, technical reviews, and acceptance.
• Implement pipeline monitoring, operational logs, failure alerts, recovery procedures, and capacity-aware performance optimization.
• Investigate failed data loads, data discrepancies, and performance issues within agreed support hours and service targets.
• Escalate incidents promptly through approved client and service provider channels and implement sustainable corrective solutions.
• Collaborate remotely with Australian product owners, delivery leads, engineers, analysts, architects, security teams, and business specialists.
• Maintain agreed overlap with Australian business hours to support effective project coordination.
• Maintain project delivery records and provide regular progress, effort, and forecast updates.
• Identify and elevate blockers, dependencies, and project risks at an early stage.
• Explain technical options clearly and demonstrate completed solutions to relevant stakeholders.
• Contribute reusable components, technical standards, and lessons learned to the enterprise data engineering practice.
• About the Client - Our client is a leading Australian food services and facilities management provider backed by a global network.

Skills

SQL & PySpark

Microsoft Fabric

Data pipelines & lakehouses

OneLake & Fabric Data Factory

Power BI integration

Tools

Fabric Data Factory

Notebooks

OneLake

Power BI

Job description

Build Smarter Data Ecosystems That Power Global Business Decisions

Create the data foundations that keep global businesses moving. Join Emapta as a Data Engineer (Microsoft Fabric) and deliver scalable lakehouse architectures, automated data pipelines, and secure analytics solutions. Help an Australian enterprise turn fragmented information into trusted insights while developing advanced technical expertise, collaborating with international teams, and growing your long-term career among top 1% talent.

Job Overview

• Employment type: Full-time
• Shift: Day Shift (9:00 AM-6:00 PM Brisbane Time), Weekends Off
• Work Setup: Work From Home

Exciting Perks Await!

• Day 1 HMO coverage with free dependent
• Competitive Salary Package
• Day Shift Schedule
• Permanent WFH arrangement
• Fixed weekends off
• Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

The Qualifications We Seek

Skills & Experience

• 3 to 5 years of relevant experience in data engineering, with hands-on expertise in Microsoft Fabric and enterprise data solutions
• Proven experience in the development and support of production data pipelines, lake houses, and data warehouses within Microsoft Fabric
• Strong proficiency in SQL and Python/PySpark, with practical experience in data transformation, query optimization, debugging, and source control
• Hands-on experience with Fabric Data Factory, notebooks, OneLake, and lakehouse or warehouse workloads, complemented by Power BI and Fabric Apps delivery experience
• Experience in database, API, and file integration; incremental data loads; dimensional modeling; and the implementation of data quality, identity, security, and privacy controls
• Experience in production system support, including monitoring, troubleshooting, incident response, and continuous improvement
• Experience in outsourced or distributed team environments, with the ability to meet client priorities, project deliverables, acceptance criteria, and support requirements

Key Competencies & Technical Skills

• Strong technical expertise in Microsoft Fabric, particularly data pipelines, notebooks, lakehouses, warehouses, and OneLake
• Ability to independently develop, test, and troubleshoot SQL and Python/PySpark data processing logic within approved technical designs
• Working knowledge of Power BI semantic modeling, DAX, Power Query, and report development, with complementary skills in Fabric Apps development and integration
• Ability to design secure, reliable, and maintainable data solutions that transition from proof of concept to production environments
• Strong analytical, problem-solving, and debugging skills, with excellent attention to data quality and technical accuracy
• Effective written and verbal communication skills, with the ability to collaborate across technical and non-technical teams
• Commitment to secure data management, data quality, continuous learning, and measurable business value

Desirable Certifications & Experience

• Relevant Microsoft certifications in Fabric Data Engineering, Data Analytics, or Power BI
• Experience with Azure DevOps, Git, CI/CD, automated data testing, deployment pipelines, and Microsoft Fabric capacity optimization
• Experience in data workload migration to Microsoft Fabric or the delivery of integrated Fabric data products, Power BI reports, and Fabric Apps within enterprise environments

Your Daily Tasks

Hands-on Fabric Data Engineering

• Translate approved business requirements into practical data engineering tasks, effort estimates, and technical designs, with clearly defined dependencies and acceptance criteria.
• Escalate proposed scope changes for review and approval.
• Build and maintain Microsoft Fabric pipelines, notebooks, lakehouses, and warehouses for production data workloads.
• Develop and optimize SQL and Python/PySpark transformations and reusable data ingestion components for enterprise systems, databases, files, and APIs.

Data Integration & Analytical Modeling

• Transform Silver-layer data into reusable, analytics-ready Gold-layer models within Microsoft Fabric.
• Apply approved business definitions, incremental data processing techniques, and appropriate data aggregations.
• Apply Kimball dimensional design principles to define business processes and fact-table granularity.
• Develop star schemas with conformed dimensions, surrogate keys, and slowly changing dimensions where appropriate.

Power BI & Fabric Apps Support

• Support Power BI semantic models, measures, and standard reports that use Gold-layer data.
• Validate data refresh processes, filter behavior, and aggregation accuracy across Power BI solutions.
• Collaborate with report developers and application specialists to develop and maintain Fabric Apps connected to approved data products.
• Maintain data engineering as the primary technical focus throughout application integration and delivery.

Data Quality, Security & Governance

• Implement data quality checks, reconciliation controls, and procedures to manage incomplete, duplicate, or invalid records.
• Maintain data model definitions, relationships, source-to-target mappings, data lineage, and operational runbooks.
• Transfer technical knowledge to support governance reviews, service continuity, planned absences, and provider transitions.
• Apply approved identity management, least-privilege access, secrets management, and remote-access controls.
• Use authorized workspaces, connectors, data sources, and storage locations; prevent unauthorized local copies or data transfers and elevate exceptions.
• Monitor data reliability and access controls, and support the resolution of data quality, security, privacy, and compliance issues.

Testing, Deployment & Operations

• Execute functional, integration, performance, and security tests to verify solution quality and reliability.
• Document test evidence, resolve defects, and support client-led user acceptance testing (UAT) and release approvals.
• Use client-controlled repositories, code reviews, and repeatable deployment processes.
• Maintain source code and configuration files to support environment promotion, technical reviews, and acceptance.
• Implement pipeline monitoring, operational logs, failure alerts, recovery procedures, and capacity-aware performance optimization.
• Investigate failed data loads, data discrepancies, and performance issues within agreed support hours and service targets.
• Escalate incidents promptly through approved client and service provider channels and implement sustainable corrective solutions.

Collaboration & Enablement

• Collaborate remotely with Australian product owners, delivery leads, engineers, analysts, architects, security teams, and business specialists.
• Maintain agreed overlap with Australian business hours to support effective project coordination.
• Maintain project delivery records and provide regular progress, effort, and forecast updates.
• Identify and elevate blockers, dependencies, and project risks at an early stage.
• Explain technical options clearly and demonstrate completed solutions to relevant stakeholders.
• Contribute reusable components, technical standards, and lessons learned to the enterprise data engineering practice.

About the Client

Our client is a leading Australian food services and facilities management provider backed by a global network. They deliver catering, hospitality, cleaning, maintenance, and workplace support across healthcare, education, corporate offices, aged care, entertainment venues, and remote resource sites. Through technology, data analytics, and digital innovation, they enhance operational efficiency, service quality, and customer experiences. Committed to sustainability, workplace safety, employee development, and community well-being, they create meaningful opportunities while delivering essential services across diverse Australian industries.

Join the Top 1% Talent. A better career. A better life.

Welcome to Emapta Philippines: home to professionals who choose growth, balance, and impact. Recognized as one of HR Asia's Best Companies to Work For in Asia 2026 for the fifth year in a row and winner of Inspiring Workplaces Australasia 2026, Emapta offers more than opportunities -- it provides a career environment where people thrive. Collaborate with global teams, build meaningful expertise, and grow in a culture that prioritizes both performance and well-being.