Senior Data Engineer: AI, LLMs & Cloud Pipelines

ConnectOS; Mandaluyong; On-site; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Medical coverage

Vacation and sick leave

13th month pay

Career growth opportunities

Competitive salary package

Job summary

ConnectOS in Metro Manila is seeking a senior data engineering professional to collaborate with the Data Science Team and an enterprise capability group, driving transformation for students, clients, and the student placement network.

You will design and maintain scalable data pipelines and cloud-based analytics infrastructure, leveraging Python, SQL, AWS, and AI technologies to deliver high-impact solutions.

Qualifications

• 5+ years in data/software engineering or related roles.
• Strong Python and SQL proficiency.
• Hands-on AWS experience: Redshift, S3, Lambda.
• Good understanding of microservices and event-driven architectures.
• AI/ML background with LLMs and prompt engineering knowledge.

Responsibilities

• Develop, maintain, and optimize scalable data pipelines and microservices.
• Partner with analytics, tech, and business teams to design BI-ready data models.
• Analyze data quality, troubleshoot issues, and ensure reliability.
• Maintain cloud-based data infrastructure for performance and security.
• Build and deploy AI solutions using LLMs and generative AI frameworks.

Skills

Python

SQL

AWS

Redshift

S3

AWS Lambda

Terraform

AWS CDK

Microservices

IaC

Data pipelines

AI/ML

LLMs

Prompt engineering

Data quality

Tools

Databricks

PySpark

Job description

ConnectOS in Metro Manila is seeking a senior data engineering professional to collaborate with the Data Science Team and an enterprise capability group, driving transformation for students, clients, and the student placement network.

You will design and maintain scalable data pipelines and cloud-based analytics infrastructure, leveraging Python, SQL, AWS, and AI technologies to deliver high-impact solutions.