Cloud Data Engineer - Engineering - PH PDC
At a glance
Mid-level Data Engineering role at Deloitte Southeast Asia. Manila.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and keep ETL or ELT pipelines running, then improve them as data needs change
- Create dimensional data models and tune them for reliable, efficient use
- Work with data warehouses and lakehouse platforms to support data workflows
- Check data quality, improve performance, and keep production workloads supported
- Handle ongoing enhancements to the data engineering work
What you bring
- At least four years of data engineering experience and a bachelor’s degree in software engineering, IT or a related equivalent
- Strong SQL skills, plus experience using dbt and Python
- Hands-on use of Databricks or Snowflake, along with a solid grasp of data warehousing concepts
- Cloud experience with Azure or AWS
Who this fits
This mid-level role suits a data engineer comfortable with SQL, dbt, Python and a warehouse or lakehouse platform. The position is based in Manila and uses a hybrid setup with a shifting schedule.
From the employer
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 won't 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!
Next Steps
Sound like the sort of role for you? Apply now.
Due to volume of applications, we regret only shortlisted candidates will be notified.
Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
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