97 Data Engineering jobs in Saudi Arabia

Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.
Must-Have:

• 8+ years of experience in data engineering with at least 2–3 years in a managerial or lead capacity
• Strong experience with SQL, Python/Scala, and data architecture patterns in financial systems
• Hands-on experience with data platforms such as Hadoop, Spark, Snowflake, Redshift, or BigQuery
• Experience with banking core systems (e.g., Temenos, Finacle, FIS) and financial data integration is a strong advantage
• Familiarity with financial regulations and reporting standards (e.g., BCBS 239, MiFID II, GDPR)

Nice to Have:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
• Certified Data Management Professional (CDMP)
• AWS/GCP/Azure Data Engineer Certifications

About Us:
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgments from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017.

Our Seven Pillars:
We rely on seven core values: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation. #J-18808-Ljbffr

Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must-Have:

• Minimum 10 years of proven experience in data management within the banking sector
• Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
• Proficiency in implementing data governance policies, developing data processing and storage solutions
• Must be fluent in Arabic and English

Nice-to-Have:

• Bachelor’s degree in computer science, IT, or equivalent

About Us:
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified by the National Minority Supplier Development Council. Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019)
• IAOP Award; Ranked in the top 100 internationally
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
• Named one of the top ten fastest-growing businesses in Houston in 2016
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017

Our Seven Pillars:
We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship.
Through strict adherence to these core values, we have achieved success beyond all documented forecasts and expectations. #J-18808-Ljbffr

Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.
Must-Have:

• 8+ years of experience in data engineering with at least 2–3 years in a managerial or lead capacity
• Strong experience with SQL, Python/Scala, and data architecture patterns in financial systems
• Hands-on experience with data platforms such as Hadoop, Spark, Snowflake, Redshift, or BigQuery
• Experience with banking core systems (e.g., Temenos, Finacle, FIS) and financial data integration is a strong advantage
• Familiarity with financial regulations and reporting standards (e.g., BCBS 239, MiFID II, GDPR)

Nice to Have:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
• Certified Data Management Professional (CDMP)
• AWS/GCP/Azure Data Engineer Certifications

About Us:
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions. We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council. Acknowledgments from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017.

Our Seven Pillars:
We rely on seven core values: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation. #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features.

Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you'll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra)
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google's BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses
  
  

Requirements

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery)
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
• Degree in Computer Science, IT, or similar field; a Master's is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google’s BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation.
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Degree in Computer Science, IT, or similar field; a Master’s is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus

#J-18808-Ljbffr

Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google’s BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation.
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Degree in Computer Science, IT, or similar field; a Master’s is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus

#J-18808-Ljbffr

Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline preferred
- Relevant work experience in Data Center or another mission-critical environment, with understanding of mission critical systems (Data Centers, Hospitals, Power plants, military facilities, etc.).
- Experience of people management, managing people managers.
- In depth knowledge of critical facility (electrical and mechanical) equipment such as generators, chillers, cooling towers, air handling units, UPS and DRUPS, electrical sub distribution systems, fire detection and suppression systems, cable reticulation system
- Experience managing vendor relationships

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 Regional Data Centre Engineering Manager, will be responsible for data center engineering operations across three Amazon Data Center availability zones, managing a team of facilities managers and engineers responsible for the 100% availability of mechanical and electrical services, including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.

Key job responsibilities
- Management and leadership of DCEO Engineering Team
- Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance
- Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
- Manage relationship with third party providers and their facility staff
- Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc
- Data Center capacity planning and reporting
- May assist in the design and build out of new facilities
- May assist in projects to increase current Facility efficiency
- Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency
- Deliver quality service and ensure all customer demands are met
- Procurement for DCEO related expenditure
- Responsible for asset and inventory management

About the team
Diverse Experiences

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.

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.

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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Riyadh, SAU
-

Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline preferred
- Relevant work experience in Data Center or another mission-critical environment, with understanding of mission critical systems (Data Centers, Hospitals, Power plants, military facilities, etc.).
- Experience of people management
- In depth knowledge of critical facility (electrical and mechanical) equipment such as generators, chillers, cooling towers, air handling units, UPS and DRUPS, electrical sub distribution systems, fire detection and suppression systems, cable reticulation system
- Experience managing vendor relationships

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.

As Data Center Facility Manager, you will be responsible for engineering operations and maintenance across the Amazon availability zone. You will lead a team of engineers responsible for the 100% availability of mechanical and electrical services, including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metrics reporting.

Key job responsibilities
- Oversees the build out of Facility-specific infrastructure in existing locations.
- Responsible for the onsite management of shift technicians, senior shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with AWS practices and procedures.
- Has primary responsibility for engineering systems availability
- Conducts financial analysis and contributes to financial decisions.
- Managing and developing teams of engineers, providing both technical and leadership expertise and ensuring highest levels of performance.
- Negotiates and rolls out contracts and defines and audits SLAs.
- Will conduct Project Management for multiple sites.
- Draws from a deep group or department level understanding to make business decisions.
- Uses business knowledge to set priorities and develop project plans.
- Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
- Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment

About the team

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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

Riyadh, SAU
- Experience working in a Data Centers
- Master's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline preferred

Data Center Engineering Operations Chief Engineer, DCEO

Job ID: 3004832 | Amazon Data Services Malaysia Sdn. Bhd.

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 DCEO Chief Engineer has direct responsibility for data center engineering operations across data center sites in Malaysia and will provide support to peers in other AWS locations as and when required.

This role requires that you are able to maintain a strong degree of influence over technical operations for a number of data center facilities, foster strong working relationships with vendors, and provide senior-level technical guidance to less-experienced operators. As well as ensuring the smooth flow of day-to-day technical operations, you will also contribute significantly to our planned growth in the regions, for new site builds and expansions of existing sites.

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 primary 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 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.
• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
• Lead and 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.
• Lead establishment of documentation relevant to technical support of business & facility operations.
• Lead, drive & implement projects to increase current facility capacity, efficiency, sustainability & reliability.
• Assist in recruiting efforts.
• Support operating partners in the resolution of any infrastructure engineering issues

A day in the life
• Lead, 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.
• The candidate may require to be on-call, or work on shift. Shift 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 preferred 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

BASIC QUALIFICATIONS

- 8+ 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).
- Experience in review and establishment of critical facilities operational documentation including but not limited to Method of Procedure (MOP), Standard Operating Procedure (SOP), Emergency Operating Procedure (EOP), Sequence of Operations (SOO), workflow, checklist etc

PREFERRED QUALIFICATIONS

- Willing to be in oncall rotation, or work on up to 12 hours work shift.
- Bachelor’s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Deep 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.
- Registered with Energy Commission (Suruhanjaya Tenaga) as Chargeman, electrical competent person or equivalent

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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