Schedule: Monday to Friday (6:00AM - 3:00PM PHT)
 
What are we looking for?
 
In this role, you will be collaborating with the Data Science Team, an enterprise capability team and be responsible for driving transformation efforts towards the right outcomes for students, clients, and student placement network.
 
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.
Join the awesome team and enjoy these benefits & perks:
  • 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
JOIN CONNECTOS NOW!
ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.
 
#ConnectOSCareers #JoinConnectOS #ConnectOSTech
 
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.

Unlock job insights

Hirer responsivenessSalary matchNumber of applicants

Company profile

ConnectOS

Business Support Services1,001-5,000 employees

ConnectOS is a leading provider of offshore talent for organisations in Australia, New Zealand, the US, Canada and the UK. For over a decade, we’ve been supporting our global clients with premium resourcing and productivity solutions.

ConnectOS is one of the fastest-growing offshoring companies in the world. Founded by our Australian CEO, we help companies across a range of industries activate their capability strategies and optimise their business operations with smarter ways to solve resourcing challenges.

Our vibrant, modern work environments achieve high levels of employee engagement: happy, healthy, committed people who love what they do. ConnectOS Team HQ is located at Mega Tower, EDSA in the heart of Manila, Philippines. Our Client Support HQ is based in Melbourne, Australia.

What Our Employees Says About Us!

"Working with ConnectOS is one of the professional experience I have. Everyone is very friendly, they respond very quickly if you have concern. They also have good benefits like HMO, and they are very easy to approachable." - Sale Development Team

"If you're looking for a work-from-home setup and promoting work-life balance, ConnectOS is the way to go." - Support Operations Engineer

"ConnectOS is indeed a great place to work, from having a hybrid setup, employees may enjoy being at home or go to the office to enjoy the company of their colleagues." - QA Analyst

Perks and benefits
Medical Benefits
Ignite Program
Wellness Facility
Engagement Programs & Incentive
Flexible Schedules & Hybrid Work Arrangements
Supportive On-site Facilities

Report this job advert

Be carefulThis job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information.Learn how to protect yourself
To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory / salary below minimum wage.
 
 
 
 
 
salary teaser image
What can I earn as a Data Engineer
See more detailed salary information salary teaser link arrow