Data Engineer

Insight; Pasig; Hybrid; PHP 1,100,000 - 1,900,000; Full time

Benefits offered by this job

Work from anywhere up to 30 days/year

HMO on Day 1 with 2 dependents

Job summary

Insight is seeking a Data Engineer on the AI Development team to build and maintain data pipelines powering AI transformation and analytics.

You will work with Databricks, GCP, and Azure to ensure clean, reliable data for AI model training, RAG-based search, and enterprise reporting, bridging raw enterprise data to production-ready AI solutions.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Minimum 3 years of experience in data engineering and production pipelines.
• Experience with Databricks, PySpark, and cloud data services (Azure/GCP).

Responsibilities

• Build and maintain scalable ETL/ELT data pipelines from ERP, CRM, and ecommerce sources for AI agents and dashboards.
• Maintain and optimize Databricks-based data lakehouse for data science and BI.
• Implement data quality checks and monitoring to ensure data integrity for AI apps and dashboards.
• Collaborate with AI developers and stakeholders to prepare datasets for AI use cases.
• Use Databricks MCP and Feature Store to prepare data for ML models and AI applications.
• Support data governance, including data lineage and security, and document data assets.
• Work with Azure and GCP native services to implement scalable storage and compute solutions.
• Assist in modeling clean, reliable datasets for Power BI reporting.

Skills

Python

SQL

Data pipelines

Data governance

English communication

Education

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

Tools

Databricks

PySpark

Azure

GCP

Power BI

Informatica

Job description

Location: Hybrid — 2 days in office, 3 days from home.

Data Engineer, AI Development

Insight at a Glance

• 14,000+ engaged teammates globally
• $8.2 billion in revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Fortune 500 Company
• Received 25+ industry and partner awards in the past year

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people‑first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

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. In this role, you will work with modern technologies like Databricks, GCP, and Azure to ensure our data is clean, reliable, and accessible for AI model training, RAG‑based search, and enterprise reporting. You will help bridge the gap between raw enterprise data and production‑ready AI solutions.

• Build and maintain scalable ETL/ELT processes and data pipelines to ingest and transform data from various sources (ERP, CRM, ecommerce) for use in 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 the integrity of data assets used in AI applications and enterprise dashboards.
• Partner with AI developers and business stakeholders to prepare and optimize datasets for specific AI use cases and agentic workflows.
• Utilize the Databricks platform (including MCP and Feature Store) to prepare data for machine learning models and AI applications.
• Support data governance practices, including data lineage and security; help catalog and document data assets to make them discoverable for the team.
• 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.

What We’re Looking For

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

Benefits

We’re legendary for taking care of you, your family, and helping you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight.

• Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
• 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.

At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match — 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.