Cloud Data Engineer: SQL, Python & Databricks Pro

Deloitte SEA; Manila; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Rewards platform

World-class training

Mentoring program

Health & life insurance

Job summary

Deloitte Consulting Philippines Delivery Center is seeking a Cloud Consultant to help our clients move from on-premise systems to the cloud, shaping scalable data platforms and modern analytics. As a Data Engineer, you will build data pipelines, develop data models, work with data warehouses or lakehouse platforms, ensure data quality, and support production workloads.

A strong SQL foundation and hands-on experience with Databricks or Snowflake, plus dbt and Python, are essential.

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 (ADF, ADLS, Synapse, etc.), AWS (S3, Glue, Lambda, Redshift), GCP (nice to have).
• Nice to have: Microsoft Fabric, orchestration tools (e.g. Airflow), CI/CD and Git, GenAI/LLM use cases 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

Python (pandas / PySpark)

dbt

Databricks

Snowflake

Data warehousing concepts

Education

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

Tools

Databricks

Snowflake

dbt

Job description

Deloitte Consulting Philippines Delivery Center is seeking a Cloud Consultant to help our clients move from on-premise systems to the cloud, shaping scalable data platforms and modern analytics. As a Data Engineer, you will build data pipelines, develop data models, work with data warehouses or lakehouse platforms, ensure data quality, and support production workloads.

A strong SQL foundation and hands-on experience with Databricks or Snowflake, plus dbt and Python, are essential.