AI and Data Engineer – Finance Enterprise Data Solutions

Intel Corporation; George Town; Hybrid; MYR 150,000 - 230,000; Full time

Job summary

Intel Corporation in Malaysia, Penang, is seeking an AI and Data Engineer to design, develop, and scale cloud-based data and AI solutions within the Finance Data and Analytics team. You will build robust pipelines, optimize data architectures, and deliver near real-time insights using Azure, Snowflake, Databricks, and other cloud platforms.

The role emphasizes compliant, scalable data products and AI-powered decision support, with a hybrid work model and a focus on finance data domains and

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related quantitative discipline.
• 3 to 6 years of proven experience in data engineering, analytics, and data solution delivery within large-scale enterprise environments.
• Strong proficiency in SQL and Python, with the ability to design, develop, optimize, and support scalable data pipelines and analytical solutions.
• Hands-on experience with Azure, Azure Data Factory, Databricks, Snowflake, BigQuery, and related data ecosystem technologies.
• Solid understanding of data architecture principles including data warehousing, data lakes, lakehouse architectures, data modeling, ETL/ELT.
• Experience designing, building, and maintaining scalable data products for BI, analytics, and AI-driven solutions.
• Knowledge of AI, Generative AI, and responsible AI practices in enterprise governance.
• Experience with enterprise BI platforms such as Power BI, WebI, or equivalent reporting tools.

Skills

SQL

Python

Data modeling

Analytics

Stakeholder communication

Education

Bachelor or Master degree in CS/DS/Engineering

Tools

Azure

Databricks

Snowflake

BigQuery

Power BI

Job description

Job Details

Job Description:

We are seeking a passionate, innovative, and highly skilled AI and Data Engineer to join Intel IT AI and Data Analytics within the Finance Data and Analytics team. In this role, you will help design, develop, and scale cloud based data and AI solutions that enable enterprise analytics and intelligent decision making. You will build and optimize modern data architectures, engineer robust data pipelines, and deliver AI powered insights using technologies such as Microsoft Azure, Snowflake, Databricks, Google Enterprise, and other leading cloud and AI platforms. With a strong focus on finance data domains, you will play a key role in supporting Intel's compliance and transformation objectives while empowering business stakeholders with near real time data driven insights. Your contributions will directly advance business outcomes, operational excellence, and Intel's transformation journey toward the New Intel.

Qualifications

The ideal candidate should possess:

• Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related quantitative discipline.
• 3 to 6 years of proven experience in data engineering, analytics, and data solution delivery within large-scale enterprise environments.
• Strong proficiency in SQL and Python, with the ability to design, develop, optimize, and support scalable data pipelines and analytical solutions.
• Hands-on experience with modern cloud-based data platforms and services, including Azure, Azure Data Factory (ADF), Databricks, Snowflake, BigQuery, and related data ecosystem technologies.
• Solid understanding of data architecture principles, including data warehousing, data lakes, lakehouse architectures, data modeling, ETL/ELT frameworks, and data integration best practices.
• Experience designing, building, and maintaining scalable, reliable, and secure data products that support business intelligence, advanced analytics, and AI-driven solutions.
• Strong understanding of Artificial Intelligence (AI), Generative AI, and AI-assisted productivity tools, with the ability to apply AI responsibly, securely, and ethically in accordance with enterprise governance standards.
• Demonstrated ability to leverage AI technologies to improve productivity, automate repetitive processes, enhance data-driven decision making, and accelerate solution development and delivery.
• Experience developing dashboards, reports, and analytical solutions using enterprise BI platforms such as Power BI, Sigma Reporting, SAP BusinessObjects (BOBJ), Web Intelligence (WebI), or equivalent reporting tools.
• Knowledge of SAP enterprise data platforms, including SAP ECC, SAP BW, SAP S/4HANA, and SAP HANA, is highly desirable.
• Exposure to Machine Learning Operations (MLOps), AIOps, data observability, model lifecycle management, or AI solution deployment practices is an added advantage.
• Strong business and data domain acumen, particularly in Finance, Accounting, Treasury, Supply Chain, or related enterprise functions, is preferred.
• Experience collaborating within Agile teams and applying Agile delivery methodologies, including sprint planning, backlog management, daily stand-ups, reviews, and retrospectives.
• Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate business requirements into scalable data and AI solutions. Preferred Personal Traits:
• Analytical and Detail-Oriented: Excellent problem-solving skills with a keen eye for accuracy and data integrity.
• Collaborative Communicator: Strong ability to work cross-functionally, bridging gaps between technical and business teams through clear communication.
• Data-Driven Mindset: Passionate about transforming data into actionable insights to support strategic decisions.
• Resilient and Adaptable: Thrives in fast-paced, high-pressure environments, adept at multitasking and prioritizing effectively.

Job Type

Experienced Hire

Shift

Shift 1 (Malaysia)

Primary Location

Malaysia, Penang

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.