Hybrid AI & Data Engineer for Finance Enterprise Analytics

Intel Corporation; Penang; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

Intel Corporation in Malaysia, Penang, seeks an AI and Data Engineer to join IT AI and Data Analytics within the Finance Data and Analytics team. You will design, build, and scale cloud-based data and AI solutions to enable enterprise analytics and near real-time insights.

You will develop robust data pipelines, modern architectures, and AI-enabled analytics with governance. Proficiency in SQL, Python, Azure, Databricks, Snowflake, BigQuery and BI tooling is valuable. Hybrid work model.

Qualifications

• Bachelor's or Master's degree in a quantitative discipline.
• 3–6 years of data engineering, analytics, and data solution delivery experience.
• Strong SQL and Python for scalable data pipelines and analytics.
• Hands-on with Azure, ADF, Databricks, Snowflake, BigQuery and related cloud technologies.
• Experience with data warehousing, data lakes, lakehouse, ETL/ELT, data integration.
• Familiar with AI/Generative AI and responsible deployment in enterprise settings.
• Experience building dashboards and BI reports using enterprise tools.

Responsibilities

• Design, develop, and scale cloud-based data and AI solutions.
• Build robust data pipelines and modern data architectures.
• Deliver AI-powered insights and dashboards for finance data domains.
• Collaborate in Agile teams and govern data products end-to-end.

Skills

SQL

Python

Cloud platforms

Data pipelines

Data modeling

AI/Generative AI

MLOps awareness

Finance domain

Education

Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Analytics, or related quantitative discipline

Tools

Azure

Databricks

Snowflake

BigQuery

Power BI

Sigma Reporting

WebI

Job description

Intel Corporation in Malaysia, Penang, seeks an AI and Data Engineer to join IT AI and Data Analytics within the Finance Data and Analytics team. You will design, build, and scale cloud-based data and AI solutions to enable enterprise analytics and near real-time insights.

You will develop robust data pipelines, modern architectures, and AI-enabled analytics with governance. Proficiency in SQL, Python, Azure, Databricks, Snowflake, BigQuery and BI tooling is valuable. Hybrid work model.