Analytics Engineer

GHD; Makati; Hybrid; PHP 900,000 - 1,200,000; Full time

Job summary

GHD is seeking an Analytics Engineer to join the IS Data & Analytics team. The role centers on data transformation, modeling, quality, and enabling stakeholders with robust analytics capabilities.

Responsibilities include designing data models and Power BI semantic layers across Fabric, writing data tests, and collaborating with data scientists and business analysts to convert raw data into actionable insights. A hybrid work model is offered with a Philippines-based team.

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field.
• 3–5 years in analytics engineering, data engineering, or BI with at least two full-cycle analytics projects.
• Strong SQL and data modelling knowledge (star schemas, fact/dim tables, SCD).
• Hands-on Microsoft Fabric (Lakehouse, Warehouse, Dataflow Gen2) or similar (Databricks, Synapse, Snowflake) with dbt.
• Semantic models and DAX for Power BI (measures, relationships, RLS).
• Git, CI/CD, modular reusable code practices.
• Translate business needs into metric definitions and data contracts for scalable analytics.
• Clear written and verbal communication with technical and business stakeholders.

Responsibilities

• Design, build, and maintain data models and Power BI semantic models across Fabric layers.
• Write tests to check data quality and fix data problems.
• Collaborate with data scientists, analysts to transform raw data into insights.
• Participate in code reviews and improve engineering standards and practices.
• Optimize performance to support scalable, reliable data pipelines.

Skills

SQL

Power BI

Data modeling

Git

CI/CD

Communication

Python

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field

Tools

Microsoft Fabric

Databricks

Azure Synapse

Snowflake

dbt

Job description

Job Description

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.

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 Desired

• 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.

About Us

Come together and make a meaningful impact. We bring our people together to create something bigger and solve some of the world's most complex problems. Come and experience the power of commitment and see strategy and ideas come to life when you join GHD.

Let's drive real change.

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 empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.

See where your commitment could take you.

That's the #PowerOfCommitment

Who We Are

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.