What Jobs are available for Analytics Engineer in Malaysia?

Business Intelligence Analyst
Job ID

Posted
23-Oct-2025
Service line
Corporate Segment
Role type
Full-time
Areas of Interest
Data & Analytics
Location(s)
Kuala Lumpur - Wilayah Persekutuan Kuala Lumpur - Malaysia
**Location:**
+ CBRE KL BSO, Bangsar South
**About the Role:**
We are seeking a highly driven and experienced Business Analyst to join our high-performing team. In this pivotal role, you will be instrumental in driving operational efficiency and providing data-driven insights through your expertise in data analytics and process improvement.
**What You'll Do:**
Data Analysis & Reporting:
+ Gather, cleanse, transform, and analyse complex datasets from diverse sources.
+ Design, develop, and maintain the dashboard.
+ Collaborate with business users to understand their reporting needs
+ Identify key metrics, patterns, and actionable insights within the data.
Process Improvement & Continuous Improvement:
+ Identify opportunities to optimize and standardize the current business processes.
+ Apply process improvement methodologies (e.g., ESSA) and a continuous improvement mindset.
+ Develop, propose, and implement process improvement initiatives.
Stakeholder Engagement:
+ Partner with stakeholders across different departments to understand their needs and challenges.
+ Communicate analytical findings and process improvement recommendations.
+ Facilitate workshops and discussions to gather requirements and drive alignment.
**What You'll Need:**
Education & Experience:
+ Bachelor's degree in business administration, Finance, Economics, Data Science, or a related quantitative field (Master's degree is a plus).
+ Min. 2 years of experience in an analytical role
+ Proven ability to identify, lead, and implement successful process improvement initiatives.
Technical Skills:
+ Proficiency in data analysis and visualization tools (e.g., Power Bi, Tableau).
+ Advanced working knowledge of Microsoft Excel, PowerPoint, and Smartsheet.
+ Experience in developing solutions using VBA is a plus.
+ Familiarity with data integration tools (e.g., Alteryx, Savant) is advantageous.
Soft Skills:
+ Process improvement or continuous improvement mindset.
+ Excellent communication (written and verbal) skills.
+ Strong analytical and problem-solving skills.
+ Strong attention to detail.
+ Ability to manage multiple priorities.
**Why CBRE**
When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.
**Applicant AI Use Disclosure**
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

**Analytics Consultant**
Join a team where your work makes a real impact on the business - and where your analytical and technical skills will grow alongside pioneering technology. In this role, you'll gain hands-on experience, contribute to high-impact projects, and help drive innovation through data-driven solutions, automation, and process improvements.
**What You'll Do**
As a key member of our team, you will:
+ Collaborate with cross-functional teams to translate business needs into clear, actionable data requirements.
+ Turn ambiguous requests into measurable insights with a strong focus on accuracy and clarity.
+ Analyze and recommend improvements to data setup and maintenance processes to drive efficiency.
+ Tackle strategic business challenges by delivering actionable insights through data analysis, using a range of technologies and analytical methods.
+ Design, develop, and implement custom automation solutions to optimize reports and processes.
+ Leverage intelligent automation tools including (but not limited to) Power BI, Power Query, Power Automate, Power Apps, and Power Virtual Agents.
+ Partner with process owners to map, validate, and refine business processes.
+ Conduct end-to-end validations to ensure data integrity and business alignment.
+ Apply design standards and performance best practices to enhance dashboard usability and clarity.
+ Resolve data conflicts by providing domain expertise and determining appropriate values.
+ Integrate data from multiple sources to deliver accurate and meaningful outputs.
+ Create user guides, documentation, and training materials to support adoption and long-term sustainability.
+ Lead and contribute to both regional and global projects.
**Who You Are**
You are a forward-thinking, curious, and solutions-oriented professional with a passion for data analytics and continuous improvement. You enjoy solving complex problems, collaborating with others, and finding smarter ways to work through innovation and automation.
**Required Qualifications:**
+ Bachelor's degree in Business, Economics, Math, Engineering, Analytics, or equivalent work experience. An advanced degree is a plus.
+ Minimum 2 years of advanced reporting or programming experience with SQL or Snowflake.
+ At least 1 year of hands-on experience with Tableau and/or Power BI, with strong knowledge of data optimization, visual design, and dashboard development.
+ Proficiency in MS Excel.
+ Strong technical aptitude to understand system issues, data sources, and touchpoints.
+ Problem-solving mindset with a solution-driven approach.
+ Excellent communication skills with the ability to adapt your message to different audiences (team members, stakeholders, and senior leadership).
+ Comfortable testing and piloting new technologies and evaluating their fit for the broader team.
**Preferred Qualifications:**
+ Experience in Supply Chain, Procurement, or Customer Operations environments.
+ Led or contributed significantly to at least one large-scale project.
+ End-to-end experience implementing automation solutions using intelligent automation tools (e.g., Robocorp RPA, OCR, AI, ML, APIs, SQL, Python).
+ Strength in key competencies such as:
+ Managing Ambiguity
+ Nimble Learning
+ Collaboration
+ Effective Communication
**Why Emerson**
At Emerson, we believe in creating a workplace where every employee feels valued, included, and empowered. Diversity of thought, background, and experience fuels innovation - and we're committed to building a culture of collaboration, continuous learning, and shared success.
We support our employees both professionally and personally, offering:
+ Competitive benefits and comprehensive medical coverage
+ Flexible work schedules and a strong emphasis on work-life balance
+ Career development opportunities and resources
+ Global employee resource groups and volunteering initiatives
+ A culture that prioritizes equity, inclusion, and positive social impact
+ We are united by our values and driven by our purpose to leave the world a better place.
**Requisition ID** :
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

**Position:**
Business Intelligence Analyst
**Job Description:**
**What we're looking for:**
+ Overall 10 years of experience in Industry including 6+Years of experience as developer using Databricks/Spark Ecosystems.
+ Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL.
+ Good understanding of Spark Architecture with Databricks, Structured Streaming. Setting Microsoft Azure with Databricks, Databricks Workspace for Business Analytics, Manage Clusters In Databricks, Managing the Machine Learning Lifecycle
+ Hands on experience Data extraction (extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user - defined functions, join optimizations) and Production (optimize and automate Extract, Transform and Load)
**TECHNICAL SKILLS**
+ Spark Data Frame API
+ Python for Data Science
+ Spark Programming
+ SQL for Data Analysis
+ Simplify Data analysis With Python
+ Manage Clusters Databricks
+ Databrick Administration
+ Data Extraction and Transformation and Load
+ Implementing Partitioning and Programming with MapReduce
+ Setting up Azure Databricks Account
+ Linux Command
**What you'll be doing:**
+ Experience in developing Spark applications using Spark-SQL in **Databricks** for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data to uncover insights into the customer usage patterns.
+ Extract Transform and Load data from sources Systems to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Data ingestion to one or more Azure **services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW)** and processing the data in **Azure Databricks**
+ Develop Spark applications using pyspark and spark SQL for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the data uncover insight into the customer usage patterns
+ Hands on experience on developing SQL Scripts for automation
+ **R** esponsible for estimating the cluster size, monitoring, and troubleshooting of the Spark databricks cluster
+ Ability to apply the spark **DataFrame API** to complete Data manipulation within spark session
+ Good understanding of Spark Architecture including spark core, **spark SQL** , DataFrame, Spark streaming, Driver Node, Worker Node, Stages, Executors and Tasks, Deployment modes, the Execution hierarchy, fault tolerance, and collection
+ Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
+ Contribute to the growth of the Microsoft Azure practice by helping with solutioning for prospects
+ Problem-solving skills along with good interpersonal & communication skills
+ Self-starter who can pick up any other relevant Azure Services in the Analytics space
**What We Are Looking For**
+ Bachelor's Degree in IT relevance field
+ Minimum of 6-8 years of related experience;
+ Excellent verbal and written communication and negotiations skills.
+ Ability to build good relationship with internally with cross function teams.
+ Proactive and strategic mindset
+ Resilience, energetic and positive attitude
**What's In It For You**
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That's why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.
+ Medical Insurance
+ Life Insurance
+ Year-end bonus
+ Performance Bonus
+ 5-Day Work Week
+ Growth Opportunities
+ And more!
**About Arrow**
Arrow Electronics, Inc. (NYSE: ARW), an award-winning Fortune 154 and one of Fortune Magazine's Most Admired Companies. Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of USD $27.9 billion, Arrow develops technology solutions that improve business and daily life. Our broad portfolio that spans the entire technology landscape helps customers create, make and manage forward-thinking products that make the benefits of technology accessible to as many people as possible. Learn more at .
Our strategic direction of guiding innovation forward is expressed as Five Years Out, a way of thinking about the tangible future to bridge the gap between what's possible and the practical technologies to make it happen. Learn more at .
For more job opportunities, please visit Malaysia (Jalan Sultan Ahmad Shah)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, Computer Vision and GenAI to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
+ Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
+ Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
+ Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases
**Qualifications**
REQUIRED:
+ Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
+ 0-2 years of experience in data analytics, data engineering, or machine learning.
+ Proficiency in SQL for data querying and manipulation.
+ Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
+ Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
+ Experience with model deployment in production (eg, Docker, Kubernetes, edge devices) for real-time or batch inference
PREFERRED:
+ Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
+ Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
+ Familiarity with version control tools such as Git.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Effective written and verbal communication.
+ Team collaboration and a proactive learning attitude.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email

**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work on design, development, and deployment of complex data systems and pipelines.
+ Collaborate with cross-functional teams to integrate data solutions into business processes.
+ Implement and optimize data processing frameworks and tools for large-scale data.
+ Ensure data quality, integrity, and security through advanced testing and validation techniques.
+ Develop strategies for data storage, retrieval, and scalability.
+ Create and maintain comprehensive documentation for data systems and processes.
+ Stay ahead of industry trends and emerging technologies to drive innovation.
**Qualifications**
**REQUIRED:**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ Relevant experience in data engineering or a similar role.
**PREFERRED:**
+ Proficiency in programming languages such as C#, Python, or JavaScript.
+ Understanding of big data technologies like Hadoop, Spark, and Kafka.
+ Strong expertise in SQL and database management systems.
+ Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
+ Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
**SKILLS:**
+ Excellent problem-solving skills and attention to detail.
+ Leadership, communication, and collaboration abilities.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email

**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
Join us to **lead data-driven transformation** , building **scalable data pipelines, advanced analytics ecosystems, and AI/ML workflows** . As a Staff Data & Analytics Engineer, you will **define technical strategy, mentor teams, and deliver actionable insights** that shape strategic business and sustainability initiatives.
**Key Responsibilities:**
+ Design and optimize **scalable ETL/ELT pipelines** for structured and unstructured data.
+ Build **analytics-ready datasets, BI dashboards** , and KPI reports (Power BI, Tableau).
+ Develop and manage **feature pipelines** for ML training, deployment, and monitoring (MLOps).
+ Implement **data quality, lineage, and governance frameworks** for reliability and compliance.
+ Containerize workloads using **Docker and Kubernetes** ; support **CI/CD automation** .
+ **Mentor junior** engineers and participate in **architecture reviews** and **strategic planning** .
+ Drive **architecture reviews and long-term data strategy** , ensuring alignment with business goals.
**Qualifications**
**Required** :
+ **8+ years** in data engineering/analytics, with **3+ years at staff or senior level** .
+ Expertise in **Python (pandas, PySpark)** , **SQL** , and big data technologies (Spark, Kafka).
+ Hands-on experience with **MLOps platforms** (MLflow, Kubeflow, SageMaker).
+ Strong cloud experience ( **AWS, GCP, or Azure** ) with containerization (Docker, Kubernetes).
+ Proven track record in **leading teams and delivering scalable analytics & AI solutions** .
**Preferred:**
+ Familiarity with **modern data stacks** (Delta Lake, Iceberg) and **real-time data pipelines** (Kafka, Kinesis, Flink).
+ **Data storytelling expertise** , including designing business KPIs and translating analytics into actionable insights.
+ Experience with **workflow orchestration** tools like Apache Airflow, Dagster, or Prefect.
+ Familiarity with **big data technologies** such as Spark, Kafka, or Flink.
+ Knowledge of **containerization best practices** and **CI/CD pipelines** (e.g., Jenkins, GitHub Actions).
+ Understanding of **data governance frameworks and compliance** (GDPR, CCPA).
+ Prior experience in **sustainability or ESG** data analytics is a plus.
**Skills:**
+ **SQL** - Advanced querying and optimization.
+ **Python** - Data libraries like pandas, NumPy, and PySpark.
+ **ETL/ELT Concepts** - Scalable pipeline design and orchestration.
+ **Data Visualization** - Power BI, Spotfire, Tableau.
+ **Cloud Fundamentals** - AWS, GCP, or Azure basics.
+ **Data Engineering & Analytics** - Data modeling, pipeline optimization, and quality frameworks.
+ **MLOps Awareness** - Understanding ML pipelines and model deployment tools.
+ **Collaboration & Communication** - Work cross-functionally with teams.
+ **Analytical Thinking & Troubleshooting** - Diagnose and resolve data issues effectively.
**Additional Information**
**Why Join Us?**
You'll shape the **future of data and AI strategy** within an organization committed to **innovation and sustainability** . This is an opportunity to **lead impactful, enterprise-scale data initiatives** and influence how the company leverages **data-driven intelligence** to drive growth and efficiency.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Infrastructure Operations (Data Center) Team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost.
We are looking for a Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center engineering operations to the next level. The DCEO Engineer is responsible for engineering operations including risk management and mitigation, planning, implementation of corrective and preventative maintenance for critical infrastructure and vendor management within our AWS Data Center environment. They are responsible for day-to-day operational excellence, maintenance of the critical infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility.
Key job responsibilities
The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
- Act as the site point of contact for internal and external stakeholders involving communication and relationship management.
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and support major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA's as required.
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Assist in establishment of performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Work with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Establish documentation relevant to technical support of business & facility operations.
- Support, implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues
A day in the life
- Troubleshoot facility and rack-level events within internal Service Level Agreements (SLA).
- Perform rack installs, rack decommissioning, and facility management.
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud
Basic Qualifications
- - 1+ year(s) of relevant work experience in electrical, mechanical, HVAC or fire systems experience in a data center or critical space facility
- - Basic understanding of concepts and interaction of Service Management systems (Problem and Change).
- - Ability to participate in a 24 x 7 rotating shift roster.
Preferred Qualifications
- - Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- - Basic understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- - Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Infrastructure Operations (Data Center) Team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost.
We are looking for a Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center engineering operations to the next level. The DCEO Engineer is responsible for engineering operations including risk management and mitigation, planning, implementation of corrective and preventative maintenance for critical infrastructure and vendor management within our AWS Data Center environment. They are responsible for day-to-day operational excellence, maintenance of the critical infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility.
Key job responsibilities
The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
- Act as the site point of contact for internal and external stakeholders involving communication and relationship management.
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and support major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA's as required.
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Assist in establishment of performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Work with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Establish documentation relevant to technical support of business & facility operations.
- Support, implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues
A day in the life
- Troubleshoot facility and rack-level events within internal Service Level Agreements (SLA).
- Perform rack installs, rack decommissioning, and facility management.
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility
- Familiar with the concepts and interaction of Service Management systems (Problem and Change).
Preferred Qualifications
- Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Infrastructure Operations (Data Center) Team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost.
We are looking for a Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center engineering operations to the next level. The DCEO Engineer is responsible for engineering operations including risk management and mitigation, planning, implementation of corrective and preventative maintenance for critical infrastructure and vendor management within our AWS Data Center environment. They are responsible for day-to-day operational excellence, maintenance of the critical infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility.
Key job responsibilities
The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
- Act as the site point of contact for internal and external stakeholders involving communication and relationship management.
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and support major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA's as required.
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Assist in establishment of performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Work with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Establish documentation relevant to technical support of business & facility operations.
- Support, implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues
A day in the life
- Troubleshoot facility and rack-level events within internal Service Level Agreements (SLA).
- Perform rack installs, rack decommissioning, and facility management.
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud
Basic Qualifications
- 3+ year(s) of relevant work experience in electrical, mechanical, HVAC or fire systems experience in a data center or critical space facility
- Basic understanding of concepts and interaction of Service Management systems (Problem and Change).
- Ability to participate in a 24 x 7 rotating shift roster.
Preferred Qualifications
- Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Basic understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.