Data Engineer (AU Global Education, Hybrid)

Schedule: Monday to Friday (7:00AM - 4:00PM PHT)

Work Setup: Hybrid (3 days onsite, 2 days WFH)

Office Location: Mega Tower, Mandaluyong

Skills Required

• Minimum of 5 years of professional experience in data engineering, software engineering, or related roles.
• Strong proficiency in Python programming and SQL.
• Hands‑on experience working with AWS cloud and data services, including but not limited to Amazon Redshift, Amazon S3, AWS Lambda, and other relevant AWS technologies.
• Strong understanding of microservices‑based systems and event‑driven architectures.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CDK.
• Experience designing, building, and maintaining scalable data pipelines and data platforms.
• AI/ML background with working knowledge of Large Language Models (LLMs) and AI technologies.
• Prompt Engineering experience, including the ability to design, refine, and optimize prompts for AI/LLM use cases.
• Ability to evaluate, validate, and improve LLM outputs for business and technical use cases.

Nice to Have

• Experience working with Databricks and PySpark for large-scale data processing and analytics.
• Experience building or supporting AI-powered data solutions, machine learning pipelines, or generative AI applications.
• Familiarity with MLOps, model deployment, and AI lifecycle management.
• Experience evaluating and optimizing LLM performance in production environments.

What will you do?

• Develop, maintain, and optimize scalable data pipelines, microservices, and system integrations to support increasing data volumes and complexity.
• Partner with analytics, technology, and business stakeholders to design and enhance data models that support business intelligence, reporting, and enterprise decision making.
• Conduct data analysis to identify, troubleshoot, and resolve data‑related issues, ensuring high standards of data quality, integrity, and reliability.
• Maintain and improve cloud‑based data and analytics infrastructure to ensure scalability, performance, security, and operational resilience.
• Build, deploy, and maintain customer‑facing generative AI solutions using large language models (LLMs), agentic AI frameworks, and related technologies.

Benefits

• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila — the Mega Tower, EDSA

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.