Data Engineer with AI/ML

ECLARO; Quezon City; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

ECLARO is seeking a Data Engineer with AI/ML expertise to design, build, and optimize scalable data pipelines and data platforms in a cloud environment. The role focuses on AI-ready data architecture and data governance to support AI workloads and model development across teams.

The ideal candidate will have hands-on experience with modern cloud-based data engineering, data integration, data modeling, and AI-enabled data platforms, delivering reliable data for analytics and AI initiatives within

Qualifications

• 5+ years of experience in data engineering.
• Expertise in Snowflake, Python, SQL, Spark, and ETL/ELT development.
• Experience in AI data architecture and Generative AI solution development, including building AI agents, copilots, knowledge bases, skills, RAG-based applications, and data pipelines that support AI workloads.

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Enable AI/ML and Generative AI use cases by creating high-quality, reliable, and governed datasets.
• Collaborate with Data Analyst, AI Engineers, BI teams, and business stakeholders to support model development and deployment.
• Implement data quality, monitoring, security, and governance best practices.
• Support MLOps and AI workflows, including feature engineering, data preparation, and model data pipelines.
• Optimize data processing performance, scalability, and cost efficiency.

Skills

Data engineering

Python

SQL

Spark

ETL/ELT

Tools

Snowflake

Job description

Data Engineer with AI/ML

We are looking for experienced Data Engineer with AI/ML expertise to design, build, and optimize scalable data pipelines and data platforms.

The ideal candidate should have strong hands-on experience in modern cloud-based data engineering, data integration, data modeling, and AI-ready data architecture.

Key Responsibilities:

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Enable AI/ML and Generative AI use cases by creating high-quality, reliable, and governed datasets.
• Collaborate with Data Analyst, AI Engineers, BI teams, and business stakeholders to support model development and deployment.
• Implement data quality, monitoring, security, and governance best practices.
• Support MLOps and AI workflows, including feature engineering, data preparation, and model data pipelines.
• Optimize data processing performance, scalability, and cost efficiency.

Required Skills:

• Strong experience in Data Engineering (5+ years preferred).
• Expertise in Snowflake, Python, SQL, Spark, and ETL/ELT development.
• Must have experience in AI data architecture and/or Generative AI solution development, including building AI agents, copilots, knowledge bases, skills, RAG-based applications, and data pipelines that support AI workloads.