business analyst

sales engineer

data scientist

planning engineer

project engineer

data engineer

SWATX

<div>SWATX is seeking a skilled and experienced Data Engineer with minimum 3 years of experience to join our team. In this role, you will be responsible for building and maintaining our data infrastructure and architecture, ensuring the availability, reliability, and scalability of our data solutions. You will work closely with cross-functional teams to design and implement data pipelines, develop data models, and optimize data storage and retrieval processes. If you have a strong background in data engineering and a passion for transforming raw data into valuable insights, we would love to hear from you.
Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and architectures.
</li><li>Collect, process, and analyze large datasets from various sources to support business intelligence and analytics.
</li><li>Implement data integration solutions to ensure seamless data flow between systems and databases.
</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
</li><li>Ensure data quality and integrity by performing regular data cleansing and validation.
</li><li>Optimize and tune database performance to handle large volumes of data efficiently.
</li><li>Develop and enforce data security and privacy policies to protect sensitive information.
</li><li>Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise.
</li><li>Create and maintain comprehensive documentation of data processes, pipelines, and architectures.
</li><li>Stay updated with emerging technologies and industry best practices in data
</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Proven experience as a Data Engineer or in a similar role.
</li><li>Strong proficiency in SQL and experience with relational databases (e.g., MSSQL, Oracle, MySQL, PostgreSQL).
</li><li>Experience with BI technologies (e.g. Microsoft Power BI, Oracle BI, or similar).
</li><li>Preferable experience with big data technologies (e.g., Hadoop, Spark, Kafka).
</li><li>Proficiency in machine learning programming languages such as Python, R.
</li><li>Experience with Enterprise Data warehouse and Data Lake.
</li><li>Experience with ETL tools and processes (e.g. SSIS, ODI, Talend).
</li><li>Knowledge of data modeling, data architecture, and data governance principles.
</li><li>Strong problem-solving skills and attention to detail.
</li><li>Excellent communication skills, both verbal and written, in English and Arabic</li></ul>
Preferable Certificates:<ul><li>Microsoft Certified: Azure Data Engineer Associate
</li><li>Microsoft Certified: Power BI Associate
</li><li>Cloudera Certified Professional (CCP): Data Engineer
</li><li>Certified Data Management Professional (CDMP)</li></ul></div>

Data Engineer

Innovative Solutions

<div><h3 class="jobSectionHeader">About Innovative Solutions</h3>
Innovative Solutions (IS) is a leading cybersecurity company in the GCC since 2003, now expanding into the broader digital world of opportunities. As we transcend beyond cybersecurity&rsquo;s legacy of risk, fear, and loss, we are re-imagining our role as a digital partner focused on opportunity, optimism, and gain. 
 
We are seeking a highly skilled AI &amp; Data Engineer to pioneer the design and development of an exciting and futuristic Agentic AI solution.
<h3 class="jobSectionHeader">Key Responsibilities</h3><ul><li>Design, develop, and deploy AI/ML models to support Threat Detection, Fraud Detection, and Event Classification.</li><li>Build, train, and fine-tune Agentic AI models that can autonomously handle triage and analysis workflows.</li><li>Develop scalable data pipelines for ingesting, preprocessing, and enriching structured and unstructured security data.</li><li>Implement explainable AI techniques for transparent detection and decision-making.</li><li>Collaborate with experts, and data scientists to enhance detection accuracy.</li><li>Continuously improve model performance through feedback loops, data augmentation, and retraining.</li></ul><h3 class="jobSectionHeader">
Preferred Experience</h3><ul><li>Prior development of AI models for Threat Detection or Fraud Detection.</li><li>Experience with cybersecurity data sources (network logs, endpoint telemetry, identity logs, threat intel).</li><li>Exposure to agentic AI concepts (autonomous task handling, decision chaining, tool use).</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>Opportunity to pioneer AI-driven Cybersecurity solutions &amp; automation in the GCC region.</li><li>Work on cutting-edge Agentic AI technology shaping the future of cybersecurity.</li><li>Collaborative, future-oriented, and innovation-driven culture.</li><li>Attractive salary and benefits package.</li></ul>
Requirements<h3 class="jobSectionHeader">
Qualifications &amp; Requirements</h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>2&ndash;3 years of experience in AI/ML development, ideally in cybersecurity, fraud detection, or anomaly detection.</li><li>Proven track record in AI model development for classification, detection, or predictive analytics.</li><li>Strong programming skills in Python, TensorFlow, PyTorch, Scikit-learn, or equivalent frameworks.</li><li>Experience with NLP, anomaly detection, reinforcement learning, or multi-agent systems is a plus.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI deployment.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul></div>

AI & Data Engineer

TAWANTECH

<div>
 
 
 Job Purpose:
 
 
 
 
 We are seeking a
 
 Saudi National AI Engineer
 
 to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and deep learning models to support business needs.
 </li>
 <li>
 Work with large datasets to perform data preprocessing, feature engineering, and model training.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
 </li>
 <li>
 Optimize AI/ML models for accuracy, performance, and scalability.
 </li>
 <li>
 Build APIs and integrate AI models into existing applications and systems.
 </li>
 <li>
 Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
 </li>
 <li>
 Document processes, models, and workflows for future reference and audits.
 </li>
 <li>
 Support AI governance, ethics, and compliance requirements.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Saudi National (mandatory).
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 3-5 years of experience in AI, machine learning, or data engineering.
 </li>
 <li>
 Strong programming skills in Python, R, or Java.
 </li>
 <li>
 Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
 </li>
 <li>
 Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
 </li>
 <li>
 Solid knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 
 Key Competencies:
 
 
 
 
 <ul>
 <li>
 Strong business and technical acumen.
 </li>
 <li>
 Ability to work in cross-functional teams.
 </li>
 <li>
 Commitment to continuous learning and innovation.
 </li>
 <li>
 High attention to detail and quality delivery.
 </li>
 </ul>
</div>

AI Engineer (Saudi National Only)

<div><h3 class="jobSectionHeader">Job Purpose:</h3>
We are seeking a Saudi National AI Engineer to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and deploy machine learning and deep learning models to support business needs.
</li><li>Work with large datasets to perform data preprocessing, feature engineering, and model training.
</li><li>Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
</li><li>Optimize AI/ML models for accuracy, performance, and scalability.
</li><li>Build APIs and integrate AI models into existing applications and systems.
</li><li>Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
</li><li>Document processes, models, and workflows for future reference and audits.
</li><li>Support AI governance, ethics, and compliance requirements.
</li></ul>Requirements<ul>
<li>Saudi National (mandatory).
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
</li><li>3&ndash;5 years of experience in AI, machine learning, or data engineering.
</li><li>Strong programming skills in Python, R, or Java.
</li><li>Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
</li><li>Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
</li><li>Solid knowledge of data structures, algorithms, and software engineering principles.
</li><li>Strong analytical, problem-solving, and communication skills.
</li></ul><h3 class="jobSectionHeader">Key Competencies:</h3><ul>
<li>Strong business and technical acumen.
</li><li>Ability to work in cross-functional teams.
</li><li>Commitment to continuous learning and innovation.
</li><li>High attention to detail and quality delivery.</li></ul></div>

MASTER-WORKS

<div><ul><li>Administer and maintain SSAS instances, including multidimensional and tabular models.</li>
<li>Optimize SSAS cube performance, including partitioning, aggregations, and processing schedules.</li>
<li>Implement and manage security roles and permissions within SSAS.</li>
<li>Troubleshoot and resolve issues related to SSAS processing, queries, and connectivity.</li>
<li>Work with data architects and analysts to design and deploy SSAS solutions.</li>
</ul>General Responsibilities:<ul>
<li>Monitor system health, performance, and availability of BI tools and services.</li>
<li>Perform regular backups, updates, and patches for BI tools and related systems.</li>
<li>Document processes, configurations, and best practices for BI administration.</li>
<li>Provide technical support and training to end-users and stakeholders.</li>
<li>Collaborate with cross-functional teams to ensure alignment between BI tools and business objectives.</li>
<li>Stay informed about industry trends and emerging technologies in BI and data analytics.</li>
<li>Building Analysis Services reporting models</li>
<li>Migrating Self-Service Reports From Oracle BI and Tableau To Power BI Self-service</li>
<li>Migrate Reports and Dashboards from oracle BI to Power BI.</li>
</ul>Requirements
Qualifications:
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related field.</li></ul>
Experience:<ul>
<li>5+ years of experience in administering and managing Power BI, SSIS, and SSAS.</li>
<li>Strong understanding of data warehousing, ETL processes, and BI concepts.</li>
<li>Experience with SQL Server, including T-SQL scripting and database administration.</li>
<li>Familiarity with data visualization best practices and tools.</li>
<li>Experience with cloud platforms (e.g., Azure, AWS) is a plus.</li>
</ul>Technical Skills:<ul>
<li>Proficiency in Power BI administration, including Power BI Service and Power BI Report Server.</li>
<li>Expertise in SSIS package development, deployment, and troubleshooting.</li>
<li>Strong knowledge of SSAS, including cube design, processing, and optimization.</li>
<li>Experience with data modeling, DAX, and MDX.</li>
<li>Knowledge of data gateways, dataflows, and Power Query.</li>
<li>Familiarity with PowerShell scripting for automation tasks.</li>
</ul>Soft Skills:<ul>
<li>Strong problem-solving and analytical skills.</li>
<li>Excellent communication and collaboration skills.</li>
<li>Ability to work independently and manage multiple priorities.</li>
<li>Attention to detail and a commitment to data accuracy and quality.</li>
</ul>Preferred Certifications:<ul>
<li>Microsoft Certified: Power BI Data Analyst Associate</li>
<li>Microsoft Certified: Azure Data Engineer Associate</li>
<li>Microsoft Certified: SQL Server Database Administration</li></ul></div>

SSAS (SQL Server Analysis Services) Administration Engineer

HPC Hamburg Port Consulting GmbH

<div>
 
 
 Become a part of HPC and shape the future with us!
 
 
 
 
 
 
 As a
 
 Data Scientist (m/f/d)
 
 , you will develop impactful AI and machine learning solutions for our port and logistics processes. From RAG pipelines to lakehouse architectures and MLOps on Azure: with us, you&rsquo;ll work in an environment where modern technologies meet real-world impact. You won&rsquo;t just be building prototypes &ndash; you&rsquo;ll be creating production-grade systems that drive daily port and logistics operations.
 
 
 
 
 
 
 Are you looking for a fresh perspective with plenty of responsibility and creative freedom?
 
 
 
 
 Then apply now!
 
 
 
 
 
 
 
 What you can expect:
 
 
 <ul>
 <li>
 You develop AI and machine learning solutions for the future of port and logistics processes &ndash; from accurate predictions (e.g., arrival times, throughput times, maintenance) and optimization models to LLM-based applications using RAG or multi-agent setups
 </li>
 <li>
 You build models, design pipelines, ensure smooth integration into the lakehouse, and manage operations with modern MLOps methods
 </li>
 <li>
 You collaborate closely with Data Governance, IT Security (KRITIS), Enterprise Architecture, Cloud/Infrastructure teams, and BI to bring innovative solutions into the organization securely and sustainably
 </li>
 <li>
 You make results tangible with BI tools, define KPIs, and support colleagues through workshops and knowledge sharing
 </li>
 <li>
 Throughout, you keep data protection, compliance, and the AI Act in mind &ndash; ensuring our solutions are not only smart but also trustworthy
 </li>
 </ul>
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Several years of experience in data science/machine learning &ndash; from modeling to production deployment
 </li>
 <li>
 Strong knowledge of Python and the common ML stack
 </li>
 <li>
 Hands-on experience with MLOps (MLflow, CI/CD, containers/Kubernetes) and cloud environments (ideally Azure)
 </li>
 <li>
 Initial practical experience with LLM applications (RAG, embeddings, prompting) or strong motivation to quickly build expertise in this field
 </li>
 <li>
 Ideally, experience in data governance and security (e.g., GDPR, AI Act)
 </li>
 <li>
 You communicate effectively and have excellent English skills
 </li>
 </ul>
 
 
 
 
 
 Are you interested, but don't fulfil all the requirements? Let's have a conversation!
 
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Work from home and in our new office in Riyadh
 </li>
 <li>
 A competitive salary and exciting career paths
 </li>
 <li>
 Flexible working and a good work-life balance: flextime, mobile working and 30 days of vacation
 </li>
 <li>
 An open feedback culture: regular feedback sessions and talks
 </li>
 <li>
 A wide range of internal and external training courses, training and workshops
 </li>
 <li>
 Together into the future: Permanent employment and a company pension scheme
 </li>
 </ul>
 
 
 
 
 
 
 
 As an international logistics company with its roots in Hamburg, HHLA stands for cosmopolitanism and tolerance. We are convinced of the advantages of different perspectives, experiences and competences. Our aim is to create a working environment in which humanity, mutual respect and appreciation are the basis for the actions of all employees.
 
 
 
 
 
 If you would like to shape the future of HPC together with us, we look forward to receiving your detailed application - preferably online via our application form.
 
 
 
 
 
 
 
 
 
 Your contact
 
 
 
 
 
 
 HPC Hamburg Port Consulting GmbH
 
 
 HR Management
 
 
 Daria Petersen
 
</div>

Data Scientist (m/w/d) Riyadh, Saudi-Arabien

EjadTech - إيجاد التقنية

<div>
 
 To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Collect, clean, and prepare data from various internal and external sources.
 
 
 Design and build predictive models using Machine Learning and AI techniques.
 
 
 Apply advanced statistical analysis to discover hidden patterns and relationships.
 
 
 Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
 
 
 Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
 
 
 Monitor, validate, and continuously improve model performance.
 
 
 Present findings and provide actionable recommendations to senior management.
 
 
 Stay up to date with the latest trends in data science and emerging technologies.
 
 
 
 
 
 
 Qualifications:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
 
 
 Proficiency in programming languages (Python, R, SQL).
 
 
 Knowledge of Big Data tools (Hadoop, Spark) is a plus.
 
 
 Strong skills in data visualization and reporting.
 
 
 Excellent analytical thinking and problem-solving abilities.
 
 
 Strong communication skills and ability to work in a team environment.
 
 
 
 
 
 
 Core Skills:
 
 
 
 Statistical Data Analysis
 
 
 Machine Learning &amp; Artificial Intelligence
 
 
 Business Intelligence (BI) Dashboards
 
 
 Database Management (SQL/NoSQL)
 
 
 Data Interpretation &amp; Storytelling for Non-Technical Stakeholders
 
</div>

Data Scientist

Explore 1098+ Data engineer in Riyadh this October. Find roles across top companies and apply now to boost your career.

1098 data engineer jobs IN Riyadh

Data Engineer

AI & Data Engineer

AI Engineer (Saudi National Only)

AI Engineer (Saudi National Only)

SSAS (SQL Server Analysis Services) Administration Engineer

Data Scientist (m/w/d) Riyadh, Saudi-Arabien

Data Scientist