data analyst

data scientist

backend engineer

data & ml engineer1

data & ml engineers

data engineer

AJEX

<div>
 
 
 
 Job Summary:
 
 
 
 
 
 
 
 
 
 
 
 We are seeking a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics and business intelligence initiatives. You will work closely with stakeholders to ensure data is clean, reliable, and accessible. This role requires a strong understanding of data warehousing principles, ETL processes and data modeling.
 
 
 The ideal candidate will be a critical thinker, an excellent problem-solver, and possess strong communication skills to collaborate effectively with various business stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
 </li>
 <li>
 Design and optimize scalable, secure data architectures (e.g., data lakes, data warehouses, real-time streaming systems).
 </li>
 <li>
 Ensure data quality, integrity, and security across all systems.
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance and reliability.
 </li>
 <li>
 Implement data governance best practices and ensure compliance with relevant data privacy regulations (e.g., GDPR, local laws).
 </li>
 <li>
 Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
 </li>
 <li>
 Partners with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
 </li>
 <li>
 Translate business requirements into technical specifications and data models.
 </li>
 <li>
 Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
 </li>
 <li>
 Maintain documentation for data systems and processes.
 </li>
 <li>
 Contribute to the development of CI/CD pipelines for data infrastructure.
 </li>
 <li>
 Evaluate and integrate new tools and technologies to improve data engineering capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 :
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science or equivalent.
 </li>
 <li>
 Should have minimum 6+ years as Data Engineer.
 </li>
 <li>
 Strong proficiency in SQL and programming languages such as Python and Java.
 </li>
 <li>
 Must Needed Skills: Java, Data Modeling, ETL.
 </li>
 <li>
 Strong SQL skills with experience in MySQL, Mongo DB etc.
 </li>
 <li>
 Good to have: Experience dealing with other Business Intelligence Tools
 </li>
 <li>
 Ability to work independently and collaboratively within a team environment
 </li>
 <li>
 Experience in logistics, supply chain, or e-commerce domains is a plus.
 </li>
 </ul>
 
 
</div>

Data Engineer

Foodics

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You&rsquo;ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.
What Will You Do&#10067;<ul>
<li>Design and implement scalable ETL/ELT pipelines using cloud-native tools.</li>
<li>Define and enforce data contracts with domain squads and internal consumers.</li>
<li>Collaborate with ML Engineers on feature engineering and model-ready datasets.</li>
<li>Build monitoring, alerting, and observability into the data infrastructure.</li>
<li>Ensure data security, lineage, and compliance with internal standards.</li>
<li>Contribute to onboarding toolkits and reusable data components.</li>
</ul>What Are We Looking For&#10067;<ul>
<li>5+ years of experience in data engineering, with a track record in scalable pipelines.</li>
<li>Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).</li>
<li>Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).</li>
<li>Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)</li>
<li>Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with time travel, schema evolution, and transactional guarantees.</li>
<li>Experience building fault-tolerant, testable, and maintainable pipelines in production environments.</li>
<li>Proven ability to work in cross-functional teams, collaborating with ML Engineers, Analysts, and Product Managers.</li>
<li>Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred).</li>
<li>Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.</li>
</ul>Who Will Excel&#10067;<ul><li>
Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).</li></ul>
What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

Senior Data Engineer

Tarmeez Capital | ترميز المالية

<div>
 
 About The Role
 
 
 
 We are looking for a Data Engineer 0-1 years of experience, with knowledge or experience in data pipelines, scalable systems, and maintaining data infrastructure. In this role you&rsquo;ll be designing data pipelines, integrating with external and internal data sources, developing data products, deploying AI use-cases and maintaining them.
 
 
 Key Responsibility
 
 
 <ul>
 <li>
 Design and implement efficient ETL/ELT pipelines, with proper monitoring and alerts.
 </li>
 <li>
 Develop a data warehouse system that stores a cleaned version of various data sources from internal and external systems.
 </li>
 <li>
 Maintain data infrastructure in terms of governance, roles, and managing the cloud credit budget.
 </li>
 <li>
 Develop data quality checks to ensure the data quality and integrity is properly maintained for Data and AI use-cases.
 </li>
 <li>
 Develop scalable applications to serve data products to end-users, both for internal and external use-cases.
 </li>
 <li>
 Optimize and support team members in terms of pipeline development and dashboard deployment.
 </li>
 <li>
 Benchmark tools and specs of services to optimize cost and increase efficiency when deploying data infrastructure.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Saudi National
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Fresh Grad or up to 1 year of experience in Data engineering, Software Engineering, or related fields.
 </li>
 <li>
 Good knowledge of Computer Science principles and fundamentals.
 </li>
 <li>
 Understanding of ETL/ELT pipelines development and best practices.
 </li>
 <li>
 Experience with Data Visualization tools.
 </li>
 <li>
 Experience or Knowledge of Database design and managing Data Warehouse systems.
 </li>
 <li>
 Experience with SQL and Python (or other programming languages).
 </li>
 <li>
 Strong knowledge in Backend development and managing deployments.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Developed an application in the past and designed its data models.
 </li>
 <li>
 Familiarity with Snowflake, Databricks, or similar data platforms.
 </li>
 <li>
 Experience with CDC tools and replicating from production databases.
 </li>
 <li>
 Worked on streaming use-cases using Apache Kafka or equivalent.
 </li>
 <li>
 Setup monitoring and alerts for both data pipelines and applications.
 </li>
 </ul>
</div>

Data Engineer -(Fresh Grad)- (Saudi National)

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Valleysoft | Center of Excellence is on the lookout for a skilled Data &amp; ML Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing data solutions and machine learning models that enable our clients to derive actionable insights from their data.
The ideal candidate will have a strong background in data engineering and machine learning, with experience in creating robust data pipelines and deploying machine learning models in production. You should be comfortable working collaboratively in a fast-paced environment and possess a passion for leveraging data to solve complex problems. If you are ready to take your career to the next level, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, develop, and maintain scalable data processing pipelines and workflows for data ingestion and transformation.</li>
<li>Collaborate with cross-functional teams to gather data requirements and implement ETL processes.</li>
<li>Develop, train, and optimize machine learning models based on business needs and available data.</li>
<li>Ensure data quality, consistency, and accessibility throughout data life cycles.</li>
<li>Monitor and troubleshoot data pipelines and machine learning models to optimize performance.</li>
<li>Stay abreast of industry trends, tools, and technologies relevant to data engineering and machine learning.</li>
<li>Document processes and provide training on data engineering and machine learning practices.</li>
<li>Integrate machine learning solutions into existing applications and systems.</li>
</ul>
Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience as a Data Engineer or Machine Learning Engineer.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms, data pipelines, and data processing frameworks.</li>
<li>Relevant experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).</li>
<li>5 years of relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and collaboration skills, with the ability to work in a team-oriented environment.</li>
<li>Experience with containerization tools (e.g., Docker) and orchestration systems (e.g., Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and privacy regulations is desirable.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering principles and machine learning workflows.</li>
<li>Ability to design and implement efficient data pipelines and machine learning solutions.</li>
<li>Excellent analytical and problem-solving capabilities.</li></ul></div>

Data & ML Engineer1

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/16/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>1-3 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>Job Summary: 
We are seeking a motivated Saudi National Data Analytics Engineer with 2&ndash;3 years of experience in data analysis, transformation, and reporting. The ideal candidate will play a key role in collecting, cleaning, and preparing data for business insights, supporting analytics and reporting needs across the organization. This role is ideal for candidates who have a passion for data, strong technical skills, and a desire to grow in analytics and data engineering. 
Key Responsibilities:<ul><li> 
Collect, clean, and process data from multiple sources to ensure data accuracy and reliability.</li><li> 
Design and develop data pipelines and workflows to automate data ingestion and transformation.</li><li> 
Support the development of dashboards and reports using Power BI or similar visualization tools.</li><li> 
Collaborate with business teams to understand analytical requirements and translate them into data solutions.</li><li> 
Work closely with IT and BI teams to optimize data storage, models, and queries.</li><li> 
Assist in maintaining and improving data warehouses or data lakes.</li><li> 
Ensure compliance with data governance, security, and quality standards.</li><li> 
Troubleshoot data issues and support regular updates or refreshes of analytical datasets.</li><li> 
Document data processes, workflows, and technical specifications.</li><li> 
Stay current with emerging data engineering and analytics tools and best practices.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3>
Skills Required:<ul><li> 
2&ndash;3 years of experience in data analytics or data engineering.</li><li> 
Proficiency in SQL and data querying.</li><li> 
Hands-on experience with Power BI, Excel, or similar BI tools.</li><li> 
Understanding of ETL concepts and data integration.</li><li> 
Familiarity with Python or R for data analysis is an advantage.</li><li> 
Knowledge of data modeling, data warehousing, and database concepts.</li><li> 
Strong analytical and problem-solving skills.</li><li> 
Excellent attention to detail and data accuracy.</li><li> 
Good communication and teamwork skills.</li><li> 
Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or a related field.</li></ul></div></div></div>

Data Analytics Engineer (Saudi National)

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;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 &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
 You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;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&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion
 
 
 AWS is looking for Data Center Engineers/Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. You will be part of the Data Center Operations (DCO) team, overseeing the operation and maintenance of the IT infrastructure and hardware for data centers in AWS Cloud regions. You will become the primary resolver for your support team, and gain troubleshooting skills on different hardware and software cases.
 
 
 You will be able to troubleshoot and solve most infrastructure issues and engage other appropriate solutions groups on more complex problems to drive solutions.
 
 
 Key job responsibilities
 
 
 SAFETY
 
 
 <ul>
 <li>
 Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. Own the safety initiatives and projects to foster a strong safety culture.
 
 
 </li>
 </ul>
 DATA CENTER OPERATIONS (DCO)
 
 
 
 This Position Involves
 
 
 
 <ul>
 <li>
 Diagnosing hardware and network problems followed by physical repairs
 </li>
 <li>
 Troubleshooting events within internal Service Level Agreements (SLAs)
 </li>
 <li>
 Performing root cause analysis of equipment failures
 </li>
 <li>
 Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)
 
 
 </li>
 </ul>
 
 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
 Why AWS?
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;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&rsquo;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 &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;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&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Saudi National
 </li>
 <li>
 1+ years of computer networking experience, 1+ years of Linux operating systems experience
 </li>
 <li>
 Bachelor's degree in Information Technology, Computer Science, or a related field
 </li>
 <li>
 Experience in computer networking, experience working with Linux operating systems
 </li>
 <li>
 Can lift and rack equipment up to 40 pounds, experience with computer hardware troubleshooting and repair
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Can work in cramped spaces or in elevated locations while adhering to health &amp; safety guidelines
 </li>
 <li>
 Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
 </li>
 <li>
 Experience managing work and priorities through a ticketing system
 </li>
 <li>
 Experience with cabling infrastructure best practices and methodologies
 </li>
 <li>
 Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)
 
 
 </li>
 </ul>
 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Data Services Saudi Arabia Limited One Person Company
 
 
 Job ID: A3112606
</div>

Data Center Engineer/Technician (Saudi National Only), Data Center Operations, AWS

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;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 &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;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&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion 
 
AWS is looking for Data Center Engineers/Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. You will be part of the Data Center Operations (DCO) team, overseeing the operation and maintenance of the IT infrastructure and hardware for data centers in AWS Cloud regions. You will become the primary resolver for your support team, and gain troubleshooting skills on different hardware and software cases.
 
 
You will be able to troubleshoot and solve most infrastructure issues and engage other appropriate solutions groups on more complex problems to drive solutions. 
 
Key job responsibilities 
SAFETY 
<ul><li>Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. Own the safety initiatives and projects to foster a strong safety culture.</li></ul> 
DATA CENTER OPERATIONS (DCO) 
 
This position involves:
 
<ul><li>Diagnosing hardware and network problems followed by physical repairs</li><li>Troubleshooting events within internal Service Level Agreements (SLAs)</li><li>Performing root cause analysis of equipment failures</li><li>Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)</li></ul> 
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;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&rsquo;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 &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;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&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Saudi National</li><li>1+ years of computer networking experience, 1+ years of Linux operating systems experience</li><li>Bachelor's degree in Information Technology, Computer Science, or a related field</li><li>Experience in computer networking, experience working with Linux operating systems</li><li>Can lift and rack equipment up to 40 pounds, experience with computer hardware troubleshooting and repair</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Can work in cramped spaces or in elevated locations while adhering to health &amp; safety guidelines</li><li>Experience dealing effectively with customers during problem resolution and operating efficiently under pressure</li><li>Experience managing work and priorities through a ticketing system</li><li>Experience with cabling infrastructure best practices and methodologies</li><li>Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)</li></ul> 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Explore 922+ Data engineer in Riyadh this November. Find roles across top companies and apply now to boost your career.

922 data engineer jobs IN Riyadh

Data Engineer

Senior Data Engineer

Data Engineer -(Fresh Grad)- (Saudi National)

Data & ML Engineer1

Data Analytics Engineer (Saudi National)

Data Center Engineer/Technician (Saudi National Only), Data Center Operations, AWS

Data Center Engineer/Technician (Saudi National Only), Data Center Operations, AWS