77 Analytics Engineer jobs in Malaysia

Our vision At Rotate, we’re building the go-to team for commercial decision-making tools in the air cargo industry. By combining cutting-edge software with deep industry and strategy consulting expertise, we help global organizations with transforming data into actionable insights for smarter, faster decisions.

What you’ll be doing As an Analytics Engineer at Rotate, you'll help lay the data foundation for our products and client insights. Your role combines elements of data engineering and analysis, focusing on designing, building, and maintaining data infrastructures to enable high-quality, usable data for analysis and decision-making Specifically, you will: · Develop and maintain scalable data models that powers our webapp and analytical tools. · Design and implement data pipelines that ingest and transform large volumes of data from various sources. · Translate business questions into data logic, ensuring products are tailored to client needs. · Work with cloud technologies (e.g., AWS, Databricks) to deploy and manage data infrastructure. · Process and organize both structured and unstructured data, ensuring quality, reliability, and accessibility. · Collaborate with cross-functional teams to plan data architecture and integrate workflows into our broader platform. · Investigate trends, perform ad-hoc analysis, and generate insights that guide client decisions. · Contribute to internal data standards, documentation, and best practices for analytics and engineering.

What you’ll need We value individuals who are confident self-starters and can independently plan, design, code, debug, and test major features. You should be comfortable working in an informal yet professional environment that offers considerable freedom and responsibility. Further you need; A technical/quantitative degree or a similar educational background.

3+ years of experience in extraction, transformation and loading data in a modern data management infrastructure.

Hands-on experience with modern data tools (E.g: Databricks, Airflow or similar)

Proficiency in Python and SQL.

Strong analytical skills and experience delivering insights from data

You are excited about working with the latest technologies in data modelling, data warehousing and cloud technology.

Preferably, you have some knowledge around the Hadoop ecosystem, Databricks and Apache Spark.

You are curious, proactive and feel at ease in an informal and professional setting where you get a lot of freedom and responsibility.

You feel at ease in cross-cultural and multi-disciplinary teams.

You are a resident of Malaysia.

You possess a valid work permit for Malaysia.

Why work at Rotate? We are building a team keen to solve an endless list of complex problems in an exciting industry. Our products will be critical to airlines’ commercial decision-making and will be built from scratch leveraging the latest technology stack. We will tailor your development and career ambitions – ensuring you share in the success. In addition to excellent compensation, we think you’ll be proud and motivated to build a career at Rotate because you will be able to: Build things that matter.

Solve complex problems in a critical industry. Partner with airlines to co-develop data-driven SaaS products with the latest technology stack. Drive efficiency and sustainability in global supply chains.

Write your own story.

Feel like an entrepreneur within a well-funded company and established team. Help us build Rotate and share in our joint success. Partner with us to tailor your development and career ambition.

Live unforgettable experiences . Get exposed to different cultures, go on unforgettable offsites, experience the highs and lows of start-up life…and if you’re keen, travel the world and eat sushi in Tokyo!

Where is the position located? This role is based in our newly established office in Kuala Lumpur, Malaysia. Our Malaysia office specializes in Software Engineering, Data Engineering, and Data Analysis. You will collaborate with talented tech colleagues.

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Join to apply for the Cloud Analytics Engineer role at Prudential Services Asia

1 month ago Be among the first 25 applicants

Join to apply for the Cloud Analytics Engineer role at Prudential Services Asia

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Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will be part of Group-Wide Information Security team under Security metrics and Analytics function with primarily responsibility of developing and implementing in-house-driven data analytics and security automation program that are aimed to strengthen the overall information security control capabilities through automated discovery of measurable security risks, automated orchestration of risk reduction exercise and visualization of reduction of risks / risk exposures. The scopes of the automation opportunities cover all aspects of information security such as, but not limited to: data security, vulnerabilities management, network security, threats analysis and software development.

To be successful in this role, candidate must have strong passion in both IT security through automation and Machine learning / data analytics programming using Python, Keras and Tensorflow.

We are seeking a highly motivated Cloud Analytics Engineer to join our Cloud Economics and Intelligence team under Group Technology Infrastructure Engineering organization. This role blends data engineering, analytics, and emerging AI technologies to drive insights and build intelligent systems that optimize cloud investments and business outcomes.

You will work mostly on Azure Data Factory, Azure Databricks-based data pipelines, develop analytical models, and contribute to Gen-AI agentic chatbot / LLM initiatives to improve operational efficiencies and internal use cases.

Key Responsibilities

• Design, build, and optimize data pipelines and analytics workflows using Azure Databricks, Spark, and Delta Lake.
• Develop and operational support of data pipelines, workflows and scheduler, Airflow DAGS, data schemas/tables that feeds into dashboards, reports, and data models to support cloud cost optimization and economic operational stability.
• Collaborate with AI/ML engineers to integrate Gen-AI capabilities into analytics tools and chatbots or forecasting.
• Contribute to the development of agentic AI chatbots for internal use cases (e.g., cloud cost Q&A, forecasting assistants).
• Ensure data quality, governance, and performance across our data pipelines and analytics platform.
• Translate business requirements into scalable data and AI solutions.
  
  
  

Technical Skills

Required Skills & Experience:

• 4+ years of experience in data engineering, data analytics, with at least 2 years in a cloud environment (Azure & GCP).
• Proficiency in Azure Data Factory, Azure Databricks, PySpark, and SQL, GCP Cloud functions, BigQuery.
• Proficiency of CI/CD, version control (GitHub, Azure DevOps), development of best practices, standards, and guidelines.
• Strong programming skills in Python for data extraction, manipulation and automation.
• Experience in the support of containerization services (Kubernetes) and infrastructure provisioning services using Terraform.
• Exposure to Azure bot service, generative AI and agentic chatbot frameworks (e.g. LangChain, Mosaic AI, MS AutoGen)
• Familiarity with LLMs, embeddings, and prompt engineering preferred.
• Familiarity with data visualization tools (e.g. Power BI) and MS Fabric pipelines is a plus
  
  
  

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Highly self-driven, demonstrate critical thinking, team player & fast learner.
• Strong analytical/problem solving skills, with the ability to work independently and effectively as a team.
  
  
  

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Services Asia by 2x

Sign in to set job alerts for “Data Engineer” roles. Data Engineer/ Python Developer - Data Lake

Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Data Analyst - SG Business Intelligence (Open for fresh graduates)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Petaling Jaya, Selangor, Malaysia 3 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR120,000.00-MYR156,000.00 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Bukit Raja, Selangor, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago

Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Petaling Jaya, Selangor, Malaysia 5 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500.00-MYR4,000.00 3 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago

WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

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We’re looking for a passionate and results-driven Sales Analytics Engineer to grow our presence in Johor and Singapore. If you have a flair for sales, an interest in Analytics & AI, and a love for building strong client relationships, we want to hear from you!

Job Responsibilities:

• Manage client accounts, generate leads, and handle sales enquiries effectively.
• Build and maintain strong relationships with clients across education, government, finance, manufacturing, healthcare, and other relevant industries.
• Proactively manage sales pipelines and work independently to achieve set targets.
• Support marketing initiatives related to Analytics and AI software.
• Leverage knowledge of analytics, AI, and STEM software solutions (experience in these areas is an advantage).

Job Requirements:

• Bachelor’s Degree in any field (minimum).
• At least 2 years’ experience in sales, preferably in the analytics or AI sector (advantageous).
• Familiarity with educational tools, software, or solutions for schools.
• Possess own transport and willing to travel within Johor and Singapore.
• Valid passport is required for potential overseas travel.
• Proficient in English and Bahasa Malaysia (Mandarin is an advantage).
• Highly results-driven, self-motivated, and able to work with minimal supervision.
• Strong communication, presentation, and interpersonal skills.
• Malaysian citizens preferred; Singapore PR is an added advantage.
• Fresh graduates are welcome to apply.

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Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact on the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will be part of the Group-Wide Information Security team under the Security Metrics and Analytics function, primarily responsible for developing and implementing in-house data analytics and security automation programs. These initiatives aim to strengthen overall information security controls through automated discovery of security risks, orchestration of risk reduction exercises, and visualization of risk reduction and exposure. The scope covers all aspects of information security, including data security, vulnerability management, network security, threat analysis, and software development.

To succeed, candidates must have a strong passion for IT security automation and expertise in Machine Learning/Data Analytics programming using Python, Keras, and TensorFlow.

We are seeking a highly motivated Cloud Analytics Engineer to join our Cloud Economics and Intelligence team under the Group Technology Infrastructure Engineering organization. This role combines data engineering, analytics, and emerging AI technologies to drive insights and build intelligent systems that optimize cloud investments and business outcomes.

You will primarily work on Azure Data Factory, Azure Databricks-based data pipelines, develop analytical models, and contribute to Gen-AI agentic chatbot/LLM initiatives to improve operational efficiencies and internal use cases.

Key Responsibilities:

1. Design, build, and optimize data pipelines and analytics workflows using Azure Databricks , Spark, and Delta Lake.
2. Develop and support data pipelines, workflows, schedulers, Airflow DAGS, data schemas/tables that feed dashboards, reports, and data models to support cloud cost optimization and operational stability.
3. Collaborate with AI/ML engineers to integrate Gen-AI capabilities into analytics tools and chatbots or forecasting.
4. Contribute to the development of agentic AI chatbots for internal use, such as cloud cost Q&A and forecasting assistants.
5. Ensure data quality, governance , and performance across data pipelines and analytics platforms.
6. Translate business requirements into scalable data and AI solutions.

Required Skills & Experience:

Technical Skills:

1. 4+ years in data engineering and data analytics , with at least 2 years in a cloud environment (Azure & GCP) .
2. Proficiency in Azure Data Factory , Azure Databricks , PySpark , SQL , GCP Cloud functions , and BigQuery .
3. Experience with CI/CD , version control (GitHub, Azure DevOps ), and best practices development.
4. Strong Python programming skills for data extraction, manipulation, and automation.
5. Experience with containerization (Kubernetes) and infrastructure provisioning (Terraform).
6. Exposure to Azure bot service , generative AI , and agentic chatbot frameworks (e.g., LangChain, Mosaic AI, MS AutoGen).
7. Familiarity with LLMs , embeddings, and prompt engineering is preferred.
8. Knowledge of data visualization tools (e.g., Power BI) and MS Fabric pipelines is a plus.

Preferred Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering , or related fields.
2. Self-driven, critical thinker, team player, and fast learner.
3. Strong analytical and problem-solving skills, capable of working independently and in teams.

Prudential is an equal opportunity employer. We promote equality of opportunity and benefits for all applicants and employees, regardless of sex, race, age, ethnicity, education, social or cultural background, marital status, pregnancy, religion, disability, or other protected statuses. We accommodate reasonable adjustments for individuals with specific needs.

We are Prudential. For Every Life, For Every Future.

Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa, headquartered in London and Hong Kong, focusing on Greater China, ASEAN, India, and Africa. We operate through approximately 68,000 agents and more than 200 bank partners.

Prudential plc is not affiliated with Prudential Financial, Inc., in the United States, or with M&G plc’s Prudential Assurance Company in the UK.

#J-18808-Ljbffr

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact on the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will be part of the Group-Wide Information Security team under the Security Metrics and Analytics function, primarily responsible for developing and implementing in-house data analytics and security automation programs. These initiatives aim to strengthen overall information security controls through automated discovery of security risks, orchestration of risk reduction exercises, and visualization of risk reduction and exposure. The scope covers all aspects of information security, including data security, vulnerability management, network security, threat analysis, and software development.

To succeed, candidates must have a strong passion for IT security automation and expertise in Machine Learning/Data Analytics programming using Python, Keras, and TensorFlow.

We are seeking a highly motivated

Cloud Analytics Engineer

to join our Cloud Economics and Intelligence team under the Group Technology Infrastructure Engineering organization. This role combines data engineering, analytics, and emerging AI technologies to drive insights and build intelligent systems that optimize cloud investments and business outcomes.

You will primarily work on Azure Data Factory, Azure Databricks-based data pipelines, develop analytical models, and contribute to Gen-AI agentic chatbot/LLM initiatives to improve operational efficiencies and internal use cases.

Key Responsibilities:

Design, build, and optimize

data pipelines

and

analytics workflows

using

Azure Databricks , Spark, and Delta Lake.

Develop and support

data pipelines, workflows, schedulers, Airflow DAGS, data schemas/tables

that feed dashboards, reports, and data models to support cloud cost optimization and operational stability.

Collaborate with AI/ML engineers to integrate

Gen-AI capabilities

into analytics tools and chatbots or forecasting.

Contribute to the development of

agentic AI chatbots

for internal use, such as cloud cost Q&A and forecasting assistants.

Ensure

data quality, governance , and

performance

across data pipelines and analytics platforms.

Translate business requirements into scalable data and AI solutions.

Required Skills & Experience:

Technical Skills:

4+ years in

data engineering

and

data analytics , with at least 2 years in a

cloud environment (Azure & GCP) .

Proficiency in

Azure Data Factory ,

Azure Databricks ,

PySpark ,

SQL ,

GCP Cloud functions , and

BigQuery .

Experience with

CI/CD , version control ( GitHub, Azure DevOps ), and best practices development.

Strong Python programming skills for data extraction, manipulation, and automation.

Experience with containerization (Kubernetes) and infrastructure provisioning (Terraform).

Exposure to

Azure bot service ,

generative AI , and

agentic chatbot frameworks

(e.g., LangChain, Mosaic AI, MS AutoGen).

Familiarity with

LLMs , embeddings, and

prompt engineering

is preferred.

Knowledge of data visualization tools (e.g., Power BI) and MS Fabric pipelines is a plus.

Preferred Qualifications:

Bachelor’s or Master’s degree in

Computer Science, Data Science, Engineering , or related fields.

Self-driven, critical thinker, team player, and fast learner.

Strong analytical and problem-solving skills, capable of working independently and in teams.

Prudential is an equal opportunity employer. We promote equality of opportunity and benefits for all applicants and employees, regardless of sex, race, age, ethnicity, education, social or cultural background, marital status, pregnancy, religion, disability, or other protected statuses. We accommodate reasonable adjustments for individuals with specific needs.

We are Prudential. For Every Life, For Every Future.

Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa, headquartered in London and Hong Kong, focusing on Greater China, ASEAN, India, and Africa. We operate through approximately 68,000 agents and more than 200 bank partners.

Prudential plc is not affiliated with Prudential Financial, Inc., in the United States, or with M&G plc’s Prudential Assurance Company in the UK.

#J-18808-Ljbffr

We’re looking for a passionate and results-driven

Sales Analytics Engineer

to grow our presence in Johor and Singapore. If you have a flair for sales, an interest in Analytics & AI, and a love for building strong client relationships, we want to hear from you! Job Responsibilities: Manage client accounts, generate leads, and handle sales enquiries effectively. Build and maintain strong relationships with clients across education, government, finance, manufacturing, healthcare, and other relevant industries. Proactively manage sales pipelines and work independently to achieve set targets. Support marketing initiatives related to Analytics and AI software. Leverage knowledge of analytics, AI, and STEM software solutions (experience in these areas is an advantage). Job Requirements: Bachelor’s Degree in any field (minimum). At least 2 years’ experience in sales, preferably in the analytics or AI sector (advantageous). Familiarity with educational tools, software, or solutions for schools. Possess own transport and willing to travel within Johor and Singapore. Valid passport is required for potential overseas travel. Proficient in English and Bahasa Malaysia (Mandarin is an advantage). Highly results-driven, self-motivated, and able to work with minimal supervision. Strong communication, presentation, and interpersonal skills. Malaysian citizens preferred; Singapore PR is an added advantage. Fresh graduates are welcome to apply.

#J-18808-Ljbffr

Join to apply for the

Cloud Analytics Engineer

role at

Prudential Services Asia 1 month ago Be among the first 25 applicants Join to apply for the

Cloud Analytics Engineer

role at

Prudential Services Asia Get AI-powered advice on this job and more exclusive features. Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will be part of Group-Wide Information Security team under Security metrics and Analytics function with primarily responsibility of developing and implementing in-house-driven data analytics and security automation program that are aimed to strengthen the overall information security control capabilities through automated discovery of measurable security risks, automated orchestration of risk reduction exercise and visualization of reduction of risks / risk exposures. The scopes of the automation opportunities cover all aspects of information security such as, but not limited to: data security, vulnerabilities management, network security, threats analysis and software development.

To be successful in this role, candidate must have strong passion in both IT security through automation and Machine learning / data analytics programming using Python, Keras and Tensorflow.

We are seeking a highly motivate d

Cloud Analytics Engineer to join our Cloud Economics and Intelligence team under Group Technology Infrastructure Engineering organization. This role blends data engineering, analytics, and emerging AI technologie s

to drive insights and build intelligent systems that optimize cloud investments and business outcomes.

You will work mostly on Azure Data Factory, Azure Databricks-based data pipelines, develop analytical models, and contribute to Gen-AI agentic chatbot / LLM initiatives to improve operational efficiencies and internal use cases.

Key Responsibilities

Design, build, and optimize data pipelines and analytics workflows using Azure Databricks, Spark, and Delta Lake. Develop and operational support of data pipelines, workflows and scheduler, Airflow DAGS, data schemas/tables that feeds into dashboards, reports, and data models to support cloud cost optimization and economic operational stability. Collaborate with AI/ML engineers to integrate Gen-AI capabilities into analytics tools and chatbots or forecasting. Contribute to the development of agentic AI chatbots for internal use cases (e.g., cloud cost Q&A, forecasting assistants). Ensure data quality, governance, and performance across our data pipelines and analytics platform. Translate business requirements into scalable data and AI solutions.

Technical Skills

Required Skills & Experience:

4+ years of experience in data engineering, data analytics, with at least 2 years in a cloud environment (Azure & GCP). Proficiency in Azure Data Factory, Azure Databricks, PySpark, and SQL, GCP Cloud functions, BigQuery. Proficiency of CI/CD, version control (GitHub, Azure DevOps), development of best practices, standards, and guidelines. Strong programming skills in Python for data extraction, manipulation and automation. Experience in the support of containerization services (Kubernetes) and infrastructure provisioning services using Terraform. Exposure to Azure bot service, generative AI and agentic chatbot frameworks (e.g. LangChain, Mosaic AI, MS AutoGen) Familiarity with LLMs, embeddings, and prompt engineering preferred. Familiarity with data visualization tools (e.g. Power BI) and MS Fabric pipelines is a plus

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. Highly self-driven, demonstrate critical thinking, team player & fast learner. Strong analytical/problem solving skills, with the ability to work independently and effectively as a team.

Prudential is an equal opportunity employer.

We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Referrals increase your chances of interviewing at Prudential Services Asia by 2x Sign in to set job alerts for “Data Engineer” roles.

Data Engineer/ Python Developer - Data Lake

Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Data Analyst - SG Business Intelligence (Open for fresh graduates)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR120,000.00-MYR156,000.00 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Bukit Raja, Selangor, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500.00-MYR4,000.00 3 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Location:

Kuala Lumpur, 14, MY

Company: ExxonMobil

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together .

ExxonMobil in Malaysia

ExxonMobil is one of the world's largest publicly traded energy providers and chemical manufacturers, ExxonMobil develops and applies next-generation technologies to help safely and responsibly meet the world's growing needs for energy and high-quality chemical products.

In Malaysia, we are involved in significant oil and gas production operations and the marketing of chemical products. We also host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil’s upstream, downstream and chemical businesses worldwide.

• ExxonMobil is a place where we believe people should think independently, take initiative, grow to their full potential, and help shape the future of energy. With a long history of industry leadership and cutting-edge innovation, we are committed to addressing the dual challenge facing society today: meeting the world’s growing demand for energy while reducing environmental impacts, including the risk of climate change.
• We are seeking an experienced engineer to provide global support for our Downstream (Refining) and Petrochemical businesses, with a focus on production planning optimization.
• If you are passionate about data-driven decision-making and possess strong analytical skills, we invite you to apply.
• Role is based in Menara ExxonMobil, Kuala Lumpur, Malaysia.

What you will do

If successful, you will join the Production Planning Analytics and Modeling department functionally reporting to ExxonMobil’s Technology and Engineering organization to develop, sustain, and deploy work practices and technologies that ensure optimum planning model health for accurate crude and feedstock purchasing and run plan signals. The group leverages analytics to validate models, ensuring they reflect actual plant operations. You will lead conversations with site stakeholders from global manufacturing sites to ensure appropriate model updates are made to maximize economical operations.

About you

• Bachelor’s or Master’s degree in Chemical Engineering
• Process knowledge in either Aromatics or Olefins chemical plants, industry experience is preferred
• Able to demonstrate the following:
  • Strong communication and interpersonal skills
  • Ability to collaborate effectively with internal and external customers
  • Innovative and analytical thinking
  • Intellectual rigor, strong drive, and desire to lead change
  • Ability to work in a multi-cultural global team

We are committed to providing benefits that are competitive and support the needs of our employees.

Application Process

Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here .

For more information about business solicitation and recruiting scams, please click here .

We thank you for your interest in ExxonMobil.

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Equal Opportunity Employer
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.

Winner of Malaysia's 100 Leading Graduate Employers Award in the Energy/Oil and Gas/Utilities category

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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Location:

Kuala Lumpur, 14, MY

Company: ExxonMobil

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together .

ExxonMobil in Malaysia

ExxonMobil is one of the world's largest publicly traded energy providers and chemical manufacturers, ExxonMobil develops and applies next-generation technologies to help safely and responsibly meet the world's growing needs for energy and high-quality chemical products.

In Malaysia, we are involved in significant oil and gas production operations and the marketing of chemical products. We also host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil’s upstream, downstream and chemical businesses worldwide.

• ExxonMobil is a place where we believe people should think independently, take initiative, grow to their full potential, and help shape the future of energy. With a long history of industry leadership and cutting-edge innovation, we are committed to addressing the dual challenge facing society today: meeting the world’s growing demand for energy while reducing environmental impacts, including the risk of climate change.
• We are seeking an experienced engineer to provide global support for our Downstream (Refining) and Petrochemical businesses, with a focus on production planning optimization.
• If you are passionate about data-driven decision-making and possess strong analytical skills, we invite you to apply.
• Role is based in Menara ExxonMobil, Kuala Lumpur, Malaysia.

What you will do

If successful, you will join the Production Planning Analytics and Modeling department functionally reporting to ExxonMobil’s Technology and Engineering organization to develop, sustain, and deploy work practices and technologies that ensure optimum planning model health for accurate crude and feedstock purchasing and run plan signals. The group leverages analytics to validate models, ensuring they reflect actual plant operations. You will lead conversations with site stakeholders from global manufacturing sites to ensure appropriate model updates are made to maximize economical operations.

About you

• Bachelor’s or Master’s degree in Chemical Engineering
• Process knowledge in either Aromatics or Olefins chemical plants, industry experience is preferred
• Able to demonstrate the following:
  • Strong communication and interpersonal skills
  • Ability to collaborate effectively with internal and external customers
  • Innovative and analytical thinking
  • Intellectual rigor, strong drive, and desire to lead change
  • Ability to work in a multi-cultural global team

We are committed to providing benefits that are competitive and support the needs of our employees.

Application Process

Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here .

For more information about business solicitation and recruiting scams, please click here .

We thank you for your interest in ExxonMobil.

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Equal Opportunity Employer
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.

Winner of Malaysia's 100 Leading Graduate Employers Award in the Energy/Oil and Gas/Utilities category

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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