Data Engineer - Databricks or Snowflake | Hybrid & Growth

Deloitte Southeast Asia; Manila; Hybrid; PHP 1,200,000 - 1,700,000; Full time

Job summary

Deloitte Southeast Asia is seeking a Data Engineer to help our engineering teams migrate from on‑prem to cloud‑based data platforms. You will design data models, build pipelines, and work with Databricks or Snowflake, dbt, Python, and SQL to enable scalable analytics for our clients.

You will operate in a hybrid setup, collaborating with global teams, driving data quality, and delivering impactful data solutions that empower business decisions.

Qualifications

• Strong SQL is a must-have.
• Experience with dbt and cloud data platforms is preferred.
• Hands-on experience with Databricks or Snowflake is required.
• Proficiency in Python (pandas / PySpark) is desirable.
• Solid understanding of data warehousing concepts.

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.
• Demonstrate strong SQL skills in daily tasks.
• Gain experience with dbt and cloud data tools.
• Work with Databricks or Snowflake (at least one).
• Utilize Python for data processing.
• Understand data warehousing concepts to guide design.

Skills

Strong SQL

dbt

Databricks

Snowflake

Python (pandas / PySpark)

Data warehousing concepts

SQL (must-have)

Tools

Microsoft Fabric

Airflow

Git

Job description

Deloitte Southeast Asia is seeking a Data Engineer to help our engineering teams migrate from on‑prem to cloud‑based data platforms. You will design data models, build pipelines, and work with Databricks or Snowflake, dbt, Python, and SQL to enable scalable analytics for our clients.

You will operate in a hybrid setup, collaborating with global teams, driving data quality, and delivering impactful data solutions that empower business decisions.