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.
#LI-JL1
#LI-Hybrid
About UsCome together and make a meaningful impact.At GHD, we don’t just believe in the power of commitment, we live and breathe it every day.
That’s the #PowerOfCommitment
GHD is a global professional services company that leads through engineering, architecture, and construction expertise. We are an employee-owned company with over 11,000 diverse and skilled individuals, across more than 200 offices spanning five continents.
The Power of Commitment is our brand promise. It’s what makes us different. We are bound to our stated vision and determination to address humanity’s most urgent needs: to make water, energy and urbanisation sustainable for generations to come.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related discipline.
- 3-5 years experience in analytics engineering, data engineering, or BI/data warehouse work, delivering at least two full-cycle data analytics projects.
- Strong SQL skills and solid understanding of data modelling (star schemas, fact/dimension tables, slowly changing dimensions).
- Hands-on experience with Microsoft Fabric (medallion architecture: Lakehouse, Warehouse, Dataflow Gen2, notebooks) or similar platform (Databricks, Synapse, Snowflake) with dbt.
- Experience building semantic models and DAX for Power BI (measures, relationships, row-level security).
- Software engineering practices: Git version control, peer code review, CI/CD pipelines, modular and reusable code.
- Ability to translate business needs into documented metric/KPI definitions and data contracts and implement scalable analytics solutions.
- Clear written and verbal communication with both technical and business stakeholders.
- Python / PySpark and Power Query for larger data jobs.
- Automated data quality testing, validation/expectations, and reconciliation experience.
- Experience with performance tuning and Fabric cost/capacity optimization.
- Familiarity with governance tools (Microsoft Purview), data lineage, and handling PII.
- Orchestration experience with Azure Data Factory pipelines and workflow scheduling.
- KQL and real-time analytics (Eventhouse / RIT).
- Basic AI/ML knowledge and preparing data for machine learning.
- Experience with other Azure tools: ADLS, Azure SQL, Key Vault, Azure DevOps.
What We Do
GHD recognises and understands the world is constantly changing. We are committed to solving the world’s biggest challenges in the areas of water, energy and urbanisation. We are a global professional services company that leads through engineering, construction and architectural expertise. Our forward-looking, innovative approaches connect and sustain communities around the world. Delivering extraordinary social and economic outcomes, we are focused on building lasting relationships with our partners and clients. Established in 1928, we remain wholly owned by our people. We are 10,000+ diverse and skilled individuals connected by over 200 offices, across five continents – Asia, Australia, Europe, North and South America, and the Pacific region.
