Cloud Data Engineer - Data Pipelines & Warehouse Expert

Monitor Deloitte; Manila; On-site; PHP 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Rewards platform

World-class training

Mentoring and coaching

Paid time off and holidays

Health and life insurance

Job summary

Deloitte Consulting Philippines Delivery Center is seeking a Data Engineer to help migrate from on-premises to cloud-based data platforms. You will build and optimize data pipelines, models, and warehousing solutions, ensuring data quality and performance while supporting production workloads.

The role emphasizes cloud experience with Azure, AWS, and/or GCP, and requires strong SQL, dbt, Python, and hands-on Databricks or Snowflake expertise for a transformed organization primed for growth.

Qualifications

• Bachelor’s degree in Software Engineering, Information Technology, or equivalent.
• Has at least 4 years of experience in Data Engineering.
• Has Strong SQL (must-have).
• Experience with dbt.
• Hands-on experience with Databricks or Snowflake (at least one).
• Experience with Python (e.g. pandas / PySpark).
• Solid understanding of data warehousing concepts.
• Cloud Experience: Azure (preferred) / AWS (preferred) / GCP (nice to have).
• Nice to have: Microsoft Fabric, Airflow, Git, GenAI LLMS in data engineering.

Responsibilities

• Build and maintain data pipelines (ETL/ELT).
• Develop and optimize data models (dimensional modelling).
• Work with data warehouses / lakehouse platforms.
• Ensure data quality and performance tuning.
• Support production workloads and ongoing enhancements.

Skills

Strong SQL

dbt

Databricks

Snowflake

Python (pandas / PySpark)

Data warehousing concepts

Azure

AWS

GCP

Microsoft Fabric

Education

Bachelor’s degree in Software Engineering, Information Technology, or equivalent

Tools

Git

Airflow

Job description

Deloitte Consulting Philippines Delivery Center is seeking a Data Engineer to help migrate from on-premises to cloud-based data platforms. You will build and optimize data pipelines, models, and warehousing solutions, ensuring data quality and performance while supporting production workloads.

The role emphasizes cloud experience with Azure, AWS, and/or GCP, and requires strong SQL, dbt, Python, and hands-on Databricks or Snowflake expertise for a transformed organization primed for growth.