Analytics Engineer

At GHD we dont just believe in the power of commitment we live and breathe it every day

Thats 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 youll make an impact that is felt by all. See where your commitment could take you.

Who are we looking for

AnAnalytics Engineerto join the IS Data & Analytics team.

This roles 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:

• Bachelors degree in Computer Science Information Systems Data Analytics or any related discipline.

• 35 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