Data Engineer

Insight Enterprises, Inc.; Pasig; On-site; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance (HMO) on Day 1 with 2

Flexible location (international trips

Job summary

Insight Enterprises, Inc. is seeking a Data Engineer to build and maintain data pipelines powering AI transformation and analytics. You’ll work with Databricks, GCP, and Azure to ensure clean, reliable data for AI model training, RAG-based search, and enterprise reporting.

The role focuses on ETL/ELT development, lakehouse maintenance, data quality, and collaboration with AI developers and stakeholders in an Agile setup. Hybrid work in Pasig is offered.

Qualifications

• 3+ years of data engineering experience.
• Proficient in Databricks, PySpark, and lakehouse support.
• Hands-on with Azure or GCP cloud data services.
• Experience with ETL/ELT pipelines and data transformation.
• Proficient in Python and SQL; knowledge of Java is a plus.
• Experience with Informatica and Power BI data modeling.
• Strong English communication and Agile teamwork.
• Bachelor's degree in CS/Engineering or related field.

Responsibilities

• Build and maintain scalable ETL/ELT processes and data pipelines to ingest and transform data from various sources (ERP, CRM, ecommerce) for AI agents and analytics.
• Support the maintenance and optimization of our Databricks-based data lakehouse to ensure performance and reliability for data science and business intelligence needs.
• Implement data quality checks and monitoring to ensure data integrity for AI applications and dashboards.
• Partner with AI developers and business stakeholders to prepare optimized datasets for specific AI use cases.
• Utilize the Databricks platform, including the MCP and Feature Store, to prepare data for machine learning models and AI applications.
• Support data governance practices, including lineage and security; catalog and document data assets.
• Work with native cloud services on Azure and GCP to implement scalable data storage and compute solutions.
• Assist in modeling clean, reliable datasets to support Power BI reporting and business intelligence initiatives.

Skills

Databricks

Python

SQL

Power BI

ETL/ELT

Azure/GCP

Data Lakehouse

Communication (English)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Informatica

Job description

Location

Pasig, PH. Hybrid opportunity: 2 days in office, 3 days remote.

Insight at a Glance

• 14,000+ engaged teammates globally
• $8.2 billion revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Received 25+ industry and partner awards in the past year

About the role

The Data Engineer is a key technical role on the AI Development team, responsible for building and maintaining the data pipelines that power our AI transformation and analytics initiatives. The role involves modern technologies such as Databricks, GCP, and Azure to ensure data is clean, reliable, and accessible for AI model training, RAG‑based search, and enterprise reporting.

Responsibilities

• Build and maintain scalable ETL/ELT processes and data pipelines to ingest and transform data from various sources (ERP, CRM, ecommerce) for AI agents and analytics.
• Support the maintenance and optimization of our Databricks‑based data lakehouse to ensure performance and reliability for data science and business intelligence needs.
• Implement data quality checks and monitoring to ensure data integrity for AI applications and dashboards.
• Partner with AI developers and business stakeholders to prepare optimized datasets for specific AI use cases.
• Utilize the Databricks platform, including the MCP and Feature Store, to prepare data for machine learning models and AI applications.
• Support data governance practices, including lineage and security; catalog and document data assets.
• Work with native cloud services on Azure and GCP to implement scalable data storage and compute solutions.
• Assist in modeling clean, reliable datasets to support Power BI reporting and business intelligence initiatives.

Qualifications

• Minimum 3 years of experience in data engineering, focusing on production data pipelines.
• Proficiency with Databricks (PySpark, Databricks Workflows) and lakehouse support.
• Hands‑on experience with cloud data services in Microsoft Azure or GCP.
• Experience building and optimizing ETL/ELT processes and transformation workflows.
• Proficient in Python and SQL; familiarity with Java or similar languages is a plus.
• Experience with enterprise data tools (e.g., Informatica) and data modeling for Power BI.
• Strong analytical and problem‑solving skills with a proactive approach to resolving data issues.
• Strong communication skills in English; ability to collaborate effectively in an Agile team.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

What you can expect

• Freedom to work from another location—including an international destination—for up to 30 consecutive calendar days per year.
• Health medical insurance (HMO) on Day 1 with 2 free dependents.

Equal Opportunity Employer

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate diversity of skills and experience, and even if you don’t feel your skills match perfectly, we still want to hear from you.

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.