Data Engineer - Finance Data and Analytics

Intel Corporation; George Town; Hybrid; MYR 60,000 - 80,000; Full time

Job summary

A leading company is looking for a passionate Cloud Analytics Data Engineer to join their IT Corporate Data and Insights group. This role focuses on designing robust data pipelines for Enterprise Cloud Analytics solutions, primarily in financial data domains. The ideal candidate will have strong SQL and Python skills, with hands-on experience in cloud platforms like Azure and Snowflake. This position supports Intel's transformation journey by enabling data-driven decision-making through near real-time insights.

Qualifications

• 3-6 years of experience in data engineering.
• Hands-on experience with cloud platforms and services.

Responsibilities

• Designing, developing, and maintaining data pipelines.
• Contributing to business success through data-driven insights.

Skills

SQL

Python

Analytical and Detail-Oriented

Collaborative Communicator

Data-Driven Mindset

Education

Bachelor's or Master's degree in Data Science

Bachelor's or Master's degree in Computer Science

Bachelor's or Master's degree in Information Systems

Tools

Azure

Snowflake

SAP Analytics Cloud

Power BI

Databricks

Job description

Job Details

Job Description:

We are seeking a passionate and highly skilled Cloud Analytics Data Engineer to join the IT Corporate Data and Insights group, under the Finance Data and Analytics Agile Persistent Team (APT). This role plays a critical part in designing, developing, and maintaining robust data pipelines and architecture for Enterprise Cloud Analytics solutions on modern cloud platforms such as Azure, Snowflake, and SAP Analytics Cloud (SAC). With a primary focus on financial data domains, this role is essential in helping to Keep Intel Legal while enabling business stakeholders to make data-driven decisions through near real-time insights. You will contribute directly to driving business success, operational excellence, and accelerating Intel's transformation journey into the New Intel.

Qualifications

The ideal candidate needs to be:

1. Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
2. 3-6 years of experience in data engineering, preferably in large-scale enterprise environments.
3. Strong proficiency in SQL, Python is mandatory.
4. Hands-on experience with cloud platforms and services like Azure, Databricks, Snowflake, etc.
5. Familiarity with data warehousing, data lakes, and ETL/ELT architectures.
6. Technical knowledge of SAP ECC, BW, S/4HANA, HANA, and SAP Analytics Cloud is highly beneficial.
7. Experience in BI/Enterprise Reporting development using tools such as Power BI, BOBJ, WEBI, etc.
8. Experience in AI/ML Ops is an added advantage.
9. Strong enterprise data acumen across key domains such as Finance and Supply Chain is an added advantage.
10. Familiarity with Agile methodologies and practices (e.g., sprint planning, stand-ups, retrospectives).

Preferred Attributes

• 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

Additional Locations

[Details not provided]

Business Group

Intel's Information Technology Group (IT) designs, deploys, and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting, and delivery of Web content and services.

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 law.

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 are subject to change.