Cloud Data Engineer - Engineering - PH PDC

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

Job Description:

Title: Cloud Consultant based in Deloitte Consulting Philippines Delivery Center

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions.

Work you will do

Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth.

As a Data Engineer, you will be responsible to:

• 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

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:

• Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte’s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.

Enough about us, let’s talk about you

• 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): e.g. Data Factory (ADF), ADLS, Synapse, Azure Functions
  • AWS (preferred): e.g. S3, Glue, Lambda, Redshift
  • GCP (nice to have)
• Nice to have:
  • Experience with Microsoft Fabric
  • Experience with orchestration tools (e.g. Airflow)
  • CI/CD and version control (e.g. Git)
  • Basic understanding of GenAI / LLM use cases in data engineering

To be successful in this role, you should have the following key experience and capabilities:

• 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

What is in store for you?

• Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and on a shifting schedule.
• Rewards platform – your hard work wont go unnoticed at Deloitte!
• Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications.
• Receive support and mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression.
• Benefits effective upon hiring including paid time off and holidays, health, and life insurance!