planning engineer

business analyst

project engineer

sales engineer

data architect

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

Tyde Digital

<div>
 Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.
 
 
 At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations:-
 
 people, processes, technology, and data
 
 . Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
 
 
 As a Data Engineer, you'll play a pivotal role in designing, managing, and optimizing data infrastructure. You'll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.
 
 
 
 Who We're Looking For
 
 
 
 Tyde Digital is home to
 
 problem-solvers, innovators, and strategic thinkers.
 
 If you're passionate about business transformation, thrive in a collaborative setting, and are driven by results, you'll fit right in.
 
 
 
 Non Negotiable traits:
 
 
 
 <ul>
 <li>
 Adaptability in a fast-moving environment
 </li>
 <li>
 Proactive problem-solving mindset
 </li>
 <li>
 Strong analytical and data-driven decision-making skills
 </li>
 <li>
 Meticulous attention to detail
 </li>
 <li>
 Commitment to delivering exceptional value to clients
 </li>
 <li>
 True passion and pride in the work we deliver
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
 </li>
 <li>
 Technical Customizations: Deploy technical customizations to pre-packaged software solutions.
 </li>
 <li>
 Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
 </li>
 <li>
 Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
 </li>
 <li>
 Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
 </li>
 <li>
 Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
 </li>
 <li>
 Solution Development: Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges
 
 
 </li>
 </ul>
 
 Involvement In
 
 
 
 <ul>
 <li>
 Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.
 </li>
 <li>
 Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
 </li>
 <li>
 Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
 </li>
 <li>
 KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
 </li>
 <li>
 2+ years of experience in data engineering or a related role.
 </li>
 <li>
 Proven experience in data engineering or a related role.
 </li>
 <li>
 Proficiency in data pipeline development, including ETL processes.
 </li>
 <li>
 Strong programming skills in languages such as Python, C#, or Java.
 </li>
 <li>
 Experience in extracting applicable data from databases using SQL.
 </li>
 <li>
 Experience in cloud computing platforms (AWS/GCP/Azure).
 </li>
 <li>
 Experience with BI tools like Power BI, Tableau, or similar platforms.
 </li>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a cross-functional team environment.
 </li>
 <li>
 Knowledge of data governance and security best practices is a plus.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent data visualization and communication skills.
 </li>
 <li>
 Experience with Power Platform Development applications.
 </li>
 <li>
 Experience with custom SharePoint applications and workflows.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We are in a critical phase of growth, which brings incredible opportunities but also unique challenges. Our projects span multiple geographies, often requiring travel and periods of time abroad to ensure seamless delivery and deep client engagement. At the same time, our biggest project isn't just client-facing it's also internal. We are constantly refining and improving our own systems and processes to ensure that as we scale, we remain agile and effective.
 
 
 The pace is fast, and so adaptability is key. However, the rewards of joining at this early stage are immense your work will have a direct impact on the company's future, and you'll be in a position to shape the culture, operations, and strategic direction of a business that's on a rapid growth trajectory.
 
 
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Client-First Philosophy: We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics just honest, results-driven solutions.
 </li>
 <li>
 Technology Agnostic Excellence: We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
 </li>
 <li>
 Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
 </li>
 <li>
 Sustainable Client Growth: Our solutions aren't just about solving today's challenges they're about setting the foundation for tomorrow's innovation and success.
 </li>
 <li>
 Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders
 </li>
 </ul>
</div>

<div>Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.
At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations:- people, processes, technology, and data. Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
As a Data Engineer, you&rsquo;ll play a pivotal role in designing, managing, and optimizing data infrastructure. You&rsquo;ll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.
Who We&rsquo;re Looking For
Tyde Digital is home to problem-solvers, innovators, and strategic thinkers. If you&rsquo;re passionate about business transformation, thrive in a collaborative setting, and are driven by results, you&rsquo;ll fit right in. 
Non Negotiable traits:<ul>
<li>Adaptability in a fast-moving environment</li>
<li>Proactive problem-solving mindset</li>
<li>Strong analytical and data-driven decision-making skills</li>
<li>Meticulous attention to detail</li>
<li>Commitment to delivering exceptional value to clients</li>
<li>True passion and pride in the work we deliver</li>
</ul>Key Responsibilities<ul><li>
Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.</li><li>
Technical Customizations: Deploy technical customizations to pre-packaged software solutions.</li><li>
Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.</li></ul><ul>
<li>Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.</li>
<li>Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.</li>
<li>Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.</li>
<li>Solution Development: Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges.</li></ul> 
Involvement In<ul><li>
Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.</li><li>
Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.</li><li>
Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.</li><li>
KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.</li></ul>
Requirements<ul><li>
Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.</li><li>
2+ years of experience in data engineering or a related role.</li><li>
Proven experience in data engineering or a related role.</li><li>
Proficiency in data pipeline development, including ETL processes.</li><li>
Strong programming skills in languages such as Python, C#, or Java.</li><li>
Experience in extracting applicable data from databases using SQL.</li><li>
Experience in cloud computing platforms (AWS/GCP/Azure).</li><li>
Experience with BI tools like Power BI, Tableau, or similar platforms.</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Ability to work collaboratively in a cross-functional team environment.</li><li>
Knowledge of data governance and security best practices is a plus.</li><li>
Excellent verbal and written communication skills.</li><li>
Excellent data visualization and communication skills.</li><li>
Experience with Power Platform Development applications.</li><li>
Experience with custom SharePoint applications and workflows.</li></ul>
Benefits
We are in a critical phase of growth, which brings incredible opportunities but also unique challenges. Our projects span multiple geographies, often requiring travel and periods of time abroad to ensure seamless delivery and deep client engagement. At the same time, our biggest project isn&rsquo;t just client-facing it&rsquo;s also internal. We are constantly refining and improving our own systems and processes to ensure that as we scale, we remain agile and effective. 
The pace is fast, and so adaptability is key. However, the rewards of joining at this early stage are immense your work will have a direct impact on the company&rsquo;s future, and you&rsquo;ll be in a position to shape the culture, operations, and strategic direction of a business that&rsquo;s on a rapid growth trajectory.
Why Join Us<ul><li>
Client-First Philosophy: We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics just honest, results-driven solutions.</li><li>
Technology Agnostic Excellence: We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.</li><li>
Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.</li><li>
Sustainable Client Growth: Our solutions aren&rsquo;t just about solving today&rsquo;s challenges they&rsquo;re about setting the foundation for tomorrow&rsquo;s innovation and success.</li><li>
Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.</li></ul></div>

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

Lucidya | لوسيديا

<div>
 The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
 
 
 The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Designing and implementing ETL processes to move and transform data from various sources
 </li>
 <li>
 Building and maintaining the data infrastructure necessary for data storage, processing, and analysis
 </li>
 <li>
 Collaborating with data analysts and data scientists to understand their data needs and provide relevant support
 </li>
 <li>
 Ensuring data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Optimizing data storage and retrieval processes for performance and scalability
 </li>
 <li>
 Documenting data flows, transformations, and any changes to data architecture
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience in a Data Engineer or similar role
 </li>
 <li>
 Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL)
 </li>
 <li>
 Proficient in programming languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar)
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services
 </li>
 <li>
 Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus
 </li>
 <li>
 Strong attention to detail and ability to ensure data accuracy and consistency
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively with cross-functional teams
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role&mdash;it's an opportunity to
 
 shape the infrastructure and technical future of Lucidya
 
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 
 
 We offer
 
 Employee Stock Option Plans (ESOP)
 
 to give you ownership in the company's success, along with
 
 performance-based bonuses
 
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

Data Engineer (Saudi-based only)

Lucidya

<div>The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:<ul>
<li>Designing and implementing ETL processes to move and transform data from various sources.</li>
<li>Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.</li>
<li>Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.</li>
<li>Ensuring data quality and integrity throughout the data lifecycle.</li>
<li>Optimizing data storage and retrieval processes for performance and scalability.</li>
<li>Documenting data flows, transformations, and any changes to data architecture.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience in a Data Engineer or similar role.</li>
<li>Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).</li>
<li>Proficient in programming languages such as Python, Java, or Scala.</li>
<li>Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).</li>
<li>Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.</li>
<li>Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.</li>
<li>Strong attention to detail and ability to ensure data accuracy and consistency.</li>
<li>Excellent communication skills and ability to work collaboratively with cross-functional teams.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role&mdash;it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

Salla

<div>
 The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.
 
 
 As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
 </li>
 <li>
 Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
 </li>
 <li>
 Establish and enforce data governance, testing, documentation, and quality standards across the stack.
 </li>
 <li>
 Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
 </li>
 <li>
 Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
 </li>
 <li>
 Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
 </li>
 <li>
 Mentor junior engineers and contribute to the maturity of Salla's data organization.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 5 years of experience in analytics engineering or a related field
 </li>
 <li>
 Advanced SQL and strong expertise with dbt (modeling, testing, documentation)
 </li>
 <li>
 Hands-on experience with modern data platforms (Databricks, BigQuery, or Snowflake).
 </li>
 <li>
 Solid understanding of dimensional modeling, semantic layers, and governed data products.
 </li>
 <li>
 Experience with workflow orchestration (Airflow or similar).
 </li>
 <li>
 Experience with cloud-based data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse
 </li>
 <li>
 Familiarity with analytics visualization tools (e.g., Tableau, Looker)
 </li>
 <li>
 Excellent problem-solving skills and a data-driven mindset
 </li>
 <li>
 Strong communication skills and the ability to work collaboratively in a team environment
 </li>
 <li>
 Experience in e-commerce, SaaS, or fintech is highly preferred
 </li>
 <li>
 Fluency in Arabic is preferred but not mandatory
 </li>
 <li>
 Previous experience in the GCC market is an advantage.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Comprehensive Training &amp; Development programs
 </li>
 <li>
 Performance-based Bonus incentives
 </li>
 <li>
 Flexible Work From Home options
 </li>
 </ul>
</div>

Senior/Staff Analytics Engineer

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1640 data engineer jobs IN Saudi Arabia

Data Engineer

Data Engineer

Data Engineer

AI & Data Engineer

Data Engineer (Saudi-based only)

Data Engineer (Saudi-based only)

Senior/Staff Analytics Engineer