Data Engineer (Cloud & Modern Data Stack Focus) - Digital Transformation Team
The Data Engineer will design and optimize scalable data pipelines and transformation workflows using a modern cloud-native data stack. The role involves collaborating with cross-functional teams to ensure efficient data ingestion, validation, and delivery within a cloud environment.
- Compensation
- Not disclosed
- Location
- General Santos, Philippines
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
- 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
- Strong working knowledge of SQL and cloud-based data warehouses.
- Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
Nice to have
- Experience with dbt, Airbyte, Dataform, or related modern data stack tools.
- Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries.
Full description
We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.
This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
- 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
- Strong working knowledge of SQL and cloud-based data warehouses.
- Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
- Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
- Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.