Analytics Engineer

GHD; Cebu City; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

GHD in the Philippines seeks an Analytics Engineer to join the IS Data & Analytics Team. The role focuses on data transformation, modelling, quality, and enabling stakeholders with reliable analytics using Microsoft Fabric, SQL, and dbt.

You will design data models, build semantic models for Power BI, collaborate with data scientists and analysts, and contribute to engineering standards. Hybrid work arrangement; Makati/Quezon City or Cebu office.

Qualifications

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

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

Skills

SQL

Data modelling

DAX

Power BI

Python

PySpark

Power Query

Git

CI/CD

Data governance

Communication

Education

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

Tools

Microsoft Fabric

Databricks

Synapse

Snowflake with dbt

Power BI

dbt

Git

CI/CD

Data Factory

Microsoft Purview

Azure ADLS

Azure SQL

Key Vault

Azure DevOps

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.

Analytics Engineer – IS Data & Analytics Team

This role’s primary function will be 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

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or 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 similar tools 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, 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 Desirable Skills

• Python / PySpark and Power Query for larger data jobs
• Data quality & testing: automated data tests, validation/expectations, and reconciliation
• 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

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

Hybrid Work Model

Hybrid model with onsite collaboration three days a week.

Eligibility

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

Agency Resumes

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