Data Engineer

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, n