Data Engineer - Build & Optimize Enterprise Pipelines

Viventis Search Asia; Makati; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Viventis Search Asia is seeking a Data Engineer to empower the Data & Analytics team by building and optimizing data pipelines across the Enterprise Data Platform. You will design scalable data models, maintain data dictionaries, and ensure reliable, high-quality data outputs for analytics.

You will collaborate with Data Scientists and Analysts, ensuring data accessibility and security while aligning with cross-functional teams.

Qualifications

• Bachelor's degree in CS/IT/IS or related field.
• Proficiency in SQL and Python; PySpark preferred.
• Experience with cloud data platforms (Azure, Databricks or equivalent).
• Familiarity with ETL/ELT pipeline design, orchestration, and scheduling tools.
• Understanding of data modelling, data warehousing, and medallion/layered architecture concepts.
• Exposure to data governance, data quality, or metadata management tools is a plus.
• Adaptable to new technologies and cross-functional collaboration.

Responsibilities

• Build, maintain, and optimize data pipelines for ingestion, transformation, and delivery across the Enterprise Data Platform (EDP).
• Design and maintain data models and schemas that support analytics and reporting needs.
• Maintain and update EDP-related data dictionaries and documentation.
• Monitor, troubleshoot, and resolve issues in data pipelines and outputs to ensure reliability.
• Implement data quality checks and validation processes across pipelines.
• Collaborate with Data Scientists, Analysts, and stakeholders to clarify requirements and deliver data solutions.
• Coordinate with IT and business units to ensure data accessibility, security, and usability across the platform.

Skills

SQL

Python

Cloud data platforms

ETL/ELT design

Data modeling

Data governance

Education

Bachelor's degree in Computer Science / IT / Information Systems

Tools

Azure

Databricks

Job description

Viventis Search Asia is seeking a Data Engineer to empower the Data & Analytics team by building and optimizing data pipelines across the Enterprise Data Platform. You will design scalable data models, maintain data dictionaries, and ensure reliable, high-quality data outputs for analytics.

You will collaborate with Data Scientists and Analysts, ensuring data accessibility and security while aligning with cross-functional teams.