72 Big Data jobs in Saudi Arabia

Job Title: Data Warehouse and Big Data Specialist

Location: Jeddah

Job Type: Full-Time

Years of Experience Required: 3 to 5 years

Key Responsibilities:

• Design and implement data pipelines from various sources using ETL tools and big data technologies.
• Develop data storage and processing models that ensure high performance, scalability, and data integrity.
• Cleanse, transform, and validate large datasets to ensure accuracy and usability for analysis and reporting.
• Collaborate with technical and business teams to understand data requirements and translate them into effective solutions.
• Monitor system performance and identify opportunities to optimize data workflows and infrastructure.

Required Skills:

• Hands-on experience with big data tools such as Apache Hadoop , Spark , NiFi , or Kafka .
• Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field
• Strong proficiency in SQL and working with relational databases like Oracle or PostgreSQL .
• Proficient in programming languages such as Python or Scala for data processing.
• Excellent analytical and problem-solving skills with the ability to deliver efficient data solutions.

4 weeks ago Be among the first 25 applicants

Data Warehouse Design and Implementation: They design, build, and maintain data warehouses and data lakes, optimizing them for analytical queries and reporting. This includes selecting appropriate architectures (e.g., Kimball, Inmon), ETL (Extract, Transform, Load) processes, and data modeling techniques.

Big Data Platform Management: They manage and administer big data platforms like Hadoop, Spark, and Hive, ensuring they are scalable, reliable, and secure. This involves cluster management, resource allocation, and performance tuning.

Data Integration: They integrate data from various sources (structured and unstructured, internal and external) into the data warehouse or data lake, ensuring data quality and consistency.

Performance Optimization: They optimize the performance of big data systems and data warehouses for complex analytical queries, using techniques like indexing, partitioning, and query optimization.

Data Governance and Security: They implement data governance policies and security measures to protect sensitive data within the data warehouse and big data environment. This includes access control, data masking, and compliance with regulations like GDPR.

Data Modeling for Analytics: They design data models optimized for analytical queries, enabling business users to easily access and analyze data.

Tool Selection and Evaluation: They evaluate and recommend appropriate big data and data warehousing tools and technologies, staying abreast of the latest advancements in the field.

Collaboration: They work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide support for data-driven initiatives.

Requirements

• A bachelor's degree in computer science, information technology, or a related field is typically required
• Min 8 years experience
• Expert in big Data
• Expert in data warehouse

• Seniority level Mid-Senior level

• Employment type Contract

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

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Riyadh, Riyadh, Saudi Arabia 21 hours ago

Riyadh, Riyadh, Saudi Arabia SAR180,000.00-SAR240,000.00 1 month ago

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Direct message the job poster from Alibaba Cloud

Responsibilities

• Market Insights & Competitive Strategy

- Analyze market trends, opportunities, and challenges to produce actionable insights reports.

- Conduct competitor research and develop differentiated strategies to enhance market positioning.

• Opportunity Identification & Customer Engagement

- Lead customer interactions, uncovering real needs and driving business opportunities.

- Build trust and influence customer's decision-making

• Solution Design & Implementation

- Craft tailored cloud solutions and strategies (e.g., product selection, POC, RFP) to secure contracts and grow market share.

- Scale solutions across industries, managing risks and ensuring successful project delivery.

• Knowledge Sharing & Team Empowerment

- Develop best practices, architecture templates, and case studies for specific domains.

- Train and mentor sales teams and partners, enhancing their technical expertise.

- Identify product improvements and defects, driving innovation and enhancing competitiveness.

- Collaborate on new product launches and major feature development.

Qualifications

- 5+ years in cloud sales or pre-sales roles.

- 2+ years in technical development (e.g., infrastructure, software, SRE).

- Proven experience in cloud architecture design and POC testing.

- Strong understanding of Alibaba Cloud’s core technologies, products, and competitive edge.

- Experience with Azure or AWS is a plus (Public Cloud Division).

- Excellent communication skills and ability to work cross-functionally.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT System Custom Software Development

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Riyadh, Riyadh, Saudi Arabia 22 hours ago

Riyadh, Riyadh, Saudi Arabia 22 hours ago

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Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.

Key Responsibilities:

1. Collect, clean, and analyze data from various sources to identify trends and patterns.
2. Develop and implement analytical models to evaluate business performance.
3. Create comprehensive reports and dashboards that summarize findings and insights for stakeholders.
4. Work closely with teams to determine data needs and provide analytical solutions.
5. Use statistical methods to derive insights and predict future trends.
6. Ensure the accuracy and integrity of data through rigorous validation and quality checks.
7. Communicate analytical results effectively to both technical and non-technical audiences.

Join us at Master-Works and leverage data analytics to make meaningful contributions that enhance our clients' success and drive our business forward.

Minimum Requirements:

1. Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field.
2. 2+ years of experience in data analysis or analytics.
3. Proficient in SQL and data visualization tools such as Tableau or Power BI.
4. Strong understanding of statistical analysis and experience with data modeling.
5. Excellent analytical and problem-solving skills.
6. Strong communication skills, with the ability to explain complex data concepts to diverse audiences.
7. A detail-oriented professional with a passion for data-driven decision making.

Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.

Key Responsibilities:

1. Collect, clean, and analyze data from various sources to identify trends and patterns.
2. Develop and implement analytical models to evaluate business performance.
3. Create comprehensive reports and dashboards that summarize findings and insights for stakeholders.
4. Work closely with teams to determine data needs and provide analytical solutions.
5. Use statistical methods to derive insights and predict future trends.
6. Ensure the accuracy and integrity of data through rigorous validation and quality checks.
7. Communicate analytical results effectively to both technical and non-technical audiences.

Join us at Master-Works and leverage data analytics to make meaningful contributions that enhance our clients' success and drive our business forward.

Minimum Requirements:

1. Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field.
2. 2+ years of experience in data analysis or analytics.
3. Proficient in SQL and data visualization tools such as Tableau or Power BI.
4. Strong understanding of statistical analysis and experience with data modeling.
5. Excellent analytical and problem-solving skills.
6. Strong communication skills, with the ability to explain complex data concepts to diverse audiences.
7. A detail-oriented professional with a passion for data-driven decision making.

Position: Data Analytics Specialist

We are seeking a Data Analytics Specialist to join our Digital Engineering Solutions Division under the Process & Control Systems Department.

The Process and Control Systems Department provides services in process engineering, automation, new energy, and digitalization within Aramco.

As a Data Analytics Engineer, your role will be to lead innovation and define how the business creates value through data assets and analytics. You will identify and solve strategic and tactical business problems to improve operational efficiency.

1. Identify and develop advanced analytics use cases to resolve complex challenges, optimize processes, enhance revenue, and improve safety and environmental sustainability.
2. Drive ideas from conception to production using best practices in Machine Learning Operations (MLOps) and Development Operations (DevOps).
3. Develop and optimize ML models and pipelines, ensuring their deployment, monitoring, and scaling.
4. Explore diverse data sources to improve predictive modeling and business strategies.
5. Assess AI tools and methods for data analysis to enhance decision-making.
6. Implement predictive modeling techniques to optimize production and operational efficiencies.
7. Document processes according to standards to support development and deployment.
8. Collaborate with IT, engineering, and business teams to drive data-driven solutions.
9. Contribute to technical task forces on incidents and domain-specific problems using AI/ML techniques.
10. Publish research papers and present findings at conferences to advance industry knowledge.
11. Promote a culture of continuous learning and innovation.
12. Provide leadership and mentorship to junior team members.

1. Bachelor’s degree in Data Science, Computer Science, Engineering, or related field; an advanced degree is highly preferred.
2. 20 years of experience in Data Science, NLP, Computer Vision, or ML projects.
3. Expertise in MLOps, DevOps, AIOps, DataOps, and related frameworks.
4. Experience in data preprocessing, wrangling, and collection.
5. Proficiency in Python, R, SQL, SAS, Scala, and cloud platforms like Azure and Google Cloud.
6. Experience with visualization tools and UI tools like Power BI.
7. Knowledge of IT architecture and model deployment in on-prem environments.
8. Understanding of CI/CD pipelines, containerization, and automation frameworks.
9. Research publication experience or contributions to industry knowledge.

Start Date: 07/10/2025

End Date: 12/31/2025

Our employees are supported by investment in capital and technology, working on world-scale projects. We emphasize talent development through extensive training and workforce development programs.

In this role, you will have the opportunity to work closely with one of our esteemed clients. This client is a global leader in the Diversified Portfolio, known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Job Title: Data Analytics Specialist

Job Description:

1. Analyses and revises information and data initiatives including database structure, ETL processes, and external data interfaces.
2. Design and Development of ETL processes based on the requirements.
3. Excellent experience in using Informatica, PowerCenter and Microsoft SSIS ETL tools.
4. Develop Program Units (such as Stored Procedures, Packages) required for the ETL process.
5. Exceptional knowledge of using Microsoft Office products especially Word, Excel, Outlook, Access, PowerPoint.
6. Interact with the other departments to understand and identify data needs and requirements and work with other members of the IT organization to deliver ETL solution to address those needs.
7. Provide third-level support for production Data Integration environment.
8. Monitor performance of all Data Integration systems; provide ongoing performance tuning, review logs, clean temp files and all other administrative issues required to ensure applications and databases are performing efficiently.
9. Must possess excellent organizational skills, be detail oriented with an ability to meet critical deadlines.
10. Excellent communication (oral/written) skills with respect to team members, peers, and staff at all levels of the organization.
11. Has ability to work both independently and as part of a team.

Qualifications:

Bachelor's Degree required in Computer Science or equivalent (a combination of education and experience will be considered). High level interpersonal skills and communication skills both written and oral.

Experience:

1. A minimum of 10 years hands-on experience working with database and ETL technologies and architectures; including both logical and physical designs, data mart creation, ETL tools, loaders and development and reporting tools is preferable. This experience should include influencing global data architecture directions and defining major data architecture related technology standards.
2. A minimum of 10 years experience with implementation of ETL processes using Informatica PowerCenter and Microsoft SSIS tools.
3. A minimum of 7 years experience writing Oracle & SQL Server stored procedures and packages.
4. A minimum of 7 years hands-on experience in various data definition and modelling projects and demonstrated capabilities in carrying best practices and common objects/components to other projects is required.

Skills:

1. Strong expertise in Data Integration and ETL methodologies and concepts.
2. Strong expertise in Informatica and Microsoft SSIS ETL tools.
3. Strong expertise in database design and database development.
4. Experience in real time/near real time data integration.
5. Experience with development processes and production release management; application and database tuning and interdependencies on operating system configuration is highly desired.
6. Must possess excellent organizational skills, be detail oriented with an ability to meet critical deadlines.
7. Exceptional knowledge of using Microsoft Office products especially Word, Excel, Outlook, Access, PowerPoint.

Dautom is a prominent name across the globe in IT consulting services. With a relentless commitment to innovation and excellence, we empower businesses to bolster their IT teams with top-tier talent. Our greatest asset is our talented team of IT professionals. Our journey towards becoming an employer of choice has been built on a foundation of trust, respect, and unwavering support for our employees' growth and well-being. We take pride in being a great place to work, and we invite you to explore what sets us apart in the world of technology and corporate culture.

Informatica, Objects, Database Design, PowerPoint, Stored Procedures, Interfaces, Consulting, Data Analytics, Components, Architecture, Interpersonal Skills, Analytics, Writing, Integration, Databases, Oracle, Computer Science, Education, SQL, Microsoft Office, Design, Communication, Science, Management.

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a ’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Position description

We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Duties and Responsibilities

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly .
• 20 years of overall experience, with hands-on experience in Data Science, Natural Processing (NLP), Computer Vision, and/or ML projects in the industry.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.

Job Post Duration

Job posting start date: 07/10/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

SWATX is seeking a highly skilled Data Analytics Solutions Architect to join our innovative team. In this pivotal role, you will design and implement robust analytics solutions that enable effective data-driven decision-making across the organization. You will work closely with stakeholders to understand their analytics needs, architect complex data systems, and guide the implementation of advanced analytics frameworks that deliver actionable insights and drive business growth.

Responsibilities:

• Design and develop scalable data architecture and frameworks that support analytics initiatives
• Collaborate with business units to translate their requirements into technical solutions
• Provide technical leadership in the deployment of analytics platforms and tools
• Ensure data integrity, quality, and security across analytics systems
• Mentor and guide data analysts and other technical staff on best practices in analytics and data science
• Stay abreast of industry trends and emerging technologies to enhance analytics capabilities
• Develop and maintain documentation of architecture designs, processes, and analytics best practices
  
  

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field
• Proven experience as a Data Architect or Solutions Architect with a focus on data analytics
• Strong experience in data modeling, ETL processes, and data warehousing concepts
• Proficiency in analytics tools such as Tableau, Power BI, or similar platforms
• Deep understanding of SQL and database management systems
• Experience with programming languages like Python or R for data processing and analysis
• Excellent analytical and problem-solving skills, with a strong attention to detail
• Strong communication skills to effectively collaborate with both technical and non-technical stakeholders
• Ability to lead projects and mentor team members in best practices
  
  

• Master's degree in a relevant field
• Experience in deploying analytics solutions in cloud environments (e.g., AWS, Azure)
• Relevant certifications in data architecture or data analytics (e.g., Microsoft Certified: Azure Solutions Architect)

• Seniority level Not Applicable

• Employment type Contract

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

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Riyadh, Riyadh, Saudi Arabia 23 hours ago

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