Analytics Engineer

At GHD, we don’t just believe in the power of commitment, we live and breathe it every day

That’s why we pledge to support and empower all of our people to make a positive impact when working with the right technology and training as you bring ideas and projects to life. 
Together with your colleagues, clients and partners, you'll make an impact that is felt by all. See where your commitment could take you. 

Who are we looking for?

An Analytics Engineer to join the IS Data & Analytics team.

This role’s primary function will be in data transformation & modelling, data quality & reliability, stakeholder enablement and engineering practice. 

Key Responsibilities

• Design, build, and maintain data models and Power BI semantic models across the bronze, silver, and gold layers in Microsoft Fabric, using SQL (dbt) and notebooks

• Write tests to check data quality and integrity, and fix data problems

• Collaborate with data scientists, data analysts, and business analysts to understand data requirements and transform raw data into actionable insights

• Take part in code reviews and contribute to the continuous improvement of engineering standards and best practices

• Optimize performance to support efficient, scalable, and reliable data pipelines

To be considered for this role, we are looking for someone with: 

•  Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or any related discipline.

• 3–5 years of experience in analytics engineering, data engineering, or BI / data warehouse work, with experience delivering at least two full-cycle data analytics projects
• Strong SQL skills and a good understanding of data modelling (star schemas, fact and dimension tables, slowly changing dimensions)
•  Hands-on Microsoft Fabric across the medallion architecture (Lakehouse, Warehouse, Dataflow Gen2, notebooks) or a similar tool such as Databricks, Synapse, or Snowflake with dbt.
• Semantic models & DAX for Power BI (measures, relationships, row-level security)
• Software engineering practice: Git for version control, peer review, using CI/CD pipelines, and producing modular, reusable code
• Turning business needs into clear, documented metric/KPI definitions and data contracts, and into scalable analytics solutions
• Clear communication, in writing and speaking, with both technical and business stakeholders

 Highly Desireable 

• Python/ PySpark and Power Query for larger data job
• Data quality & testing: automated data tests, validation/expectations, and reconciliation
• Some experience with performance tuning and Fabric cost / capacity 
• Familiarity with governance tools (Microsoft Purview), data lineage, and handling personal data (PII) 
• Orchestration with Data Factory pipelines and workflow scheduling
   

Nice To Have

• KQL and real time analytics (Eventhouse / RIT) 
•  Basic AI/ ML Knowledge and preparing data for machine learning 
• Other Azure Tools: ADLS, Azure SQL, Key Vault, Azure DevOps 

Work Schedule: Monday to Friday / 8:00am to 5:00pm 

This job offer can be based either in Makati City, Quezon City or Cebu office, depending on your home base/ location. 

Our Hybrid Work Model

Be part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment. 

Applicants must be a Filipino Citizen or have the right to work in the Philippines. 

We respectfully ask that no agency resumes be presented at this stage. 

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