Finance AI & Data Engineer — Enterprise Cloud Analytics

Intel Corporation

Kuala Lumpur

Hybrid

MYR 120,000 - 180,000

Full time

39 hours ago
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Job summary

Intel Corporation in Penang, Malaysia seeks an AI and Data Engineer to design, develop, and scale cloud-based data and AI solutions for finance enterprise data. You will build data pipelines, data models, and BI dashboards using Azure, Snowflake, Databricks, BigQuery, and other platforms, enabling near real-time insights while supporting compliance and transformation initiatives.

Ideal candidates have 3–6 years of experience in data engineering, proficiency in SQL and Python, and a strong

Qualifications

  • 3–6 years of data engineering, analytics, and enterprise delivery experience.
  • Strong SQL and Python skills for scalable data pipelines and analytics.
  • Hands-on with Azure-based data platforms (ADF, Databricks, Snowflake, BigQuery).
  • Familiarity with data warehousing, data lakes/lakehouses, ETL/ELT, and data integration best practices.

Responsibilities

  • Design, develop, and scale cloud-based data and AI solutions for enterprise analytics.
  • Build and optimize robust data pipelines and data models for finance domains.
  • Deliver AI-powered insights and near real-time data driven outcomes.
  • Develop dashboards and reports using BI tools for business intelligence and governance.

Skills

SQL
Python
Azure
Databricks
Snowflake
BigQuery
Data Lakes/Lakehouse
Data Modeling
ETL/ELT
MLOps
AI & Generative AI
Power BI
Agile
Stakeholder Management
Finance domain knowledge

Education

Bachelor's or Master's degree in a relevant field

Tools

Power BI
Sigma Reporting
SAP BO/WebI
SAP ECC/SAP BW/SAP S/4HANA/SAP HANA

Job description

Intel Corporation in Penang, Malaysia seeks an AI and Data Engineer to design, develop, and scale cloud-based data and AI solutions for finance enterprise data. You will build data pipelines, data models, and BI dashboards using Azure, Snowflake, Databricks, BigQuery, and other platforms, enabling near real-time insights while supporting compliance and transformation initiatives.

Ideal candidates have 3–6 years of experience in data engineering, proficiency in SQL and Python, and a strong

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