Data Engineer: Real-Time Analytics & Pipelines

ECLARO; Philippines; On-site; PHP 300,000 - 600,000; Full time

Job summary

ECLARO in the Philippines is seeking a Data Engineer-Mid to build complex databases and data pipelines that fuel real-time decision making. You will work with leaders across the company on analytics projects and guide engineering best practices.

Join a fast-paced, collaborative team within Corporate Actuarial Data & Technology to advance data capabilities, automate ingestion and transformation, and deliver scalable data solutions that support strategic business outcomes.

Qualifications

• Proficient with SQL and Python for data manipulation and analytics.
• Experience with relational databases and dimensional modeling (star schema).
• Familiarity with the MLOps framework and data engineering best practices.
• Strong analytical thinking and ability to communicate complex data concepts.

Responsibilities

• Develop best-in-class data solutions with strategic partners.
• Manipulate data using SQL and Python to create data assets.
• Automate data ingestion, transformation and integration pipelines.
• Document data sources and technical solutions.
• Assess data quality and completeness.
• Collaborate across the organization to meet data-related goals.
• Explore new technologies and data sources with curiosity.
• Identify and implement internal process improvements to optimize pipelines.
• Create and maintain scalable data pipeline architectures.

Skills

SQL

Python

Relational databases

Data analytics

MLOps

Communication

Collaboration

Education

BS in Computer Science / Information Technology or related

Job description

ECLARO in the Philippines is seeking a Data Engineer-Mid to build complex databases and data pipelines that fuel real-time decision making. You will work with leaders across the company on analytics projects and guide engineering best practices.

Join a fast-paced, collaborative team within Corporate Actuarial Data & Technology to advance data capabilities, automate ingestion and transformation, and deliver scalable data solutions that support strategic business outcomes.