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senior/staff analytics engineer Jobs in Jeddah

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data engineer (saudi-based only) Jobs in Jeddah

data engineer (saudi-based only)

data scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

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>

Data Engineer (Saudi-based only)

Salla

<div>
 We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You'll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand.
 
 
 This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact.
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
 </li>
 <li>
 Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
 </li>
 <li>
 Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
 </li>
 <li>
 Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
 </li>
 <li>
 Monitor data quality, validate results, and support initiatives for data integrity and normalization.
 </li>
 <li>
 Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
 </li>
 <li>
 Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
 </li>
 <li>
 Support testing, troubleshooting, and improvements of reporting systems and pipelines.
 </li>
 <li>
 Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
 </li>
 <li>
 Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
 </li>
 <li>
 Identify and recommend process improvements and opportunities for better data-driven decision-making
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline).
 </li>
 <li>
 0-2 years of experience in data analysis or a related field (internships or academic projects count).
 </li>
 <li>
 Strong proficiency in SQL for querying and analyzing data.
 </li>
 <li>
 Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase).
 </li>
 <li>
 Good understanding of data cleaning techniques and basic statistical concepts.
 </li>
 <li>
 Strong analytical skills with high attention to detail and accuracy.
 </li>
 <li>
 Ability to communicate findings clearly through reports, dashboards, and presentations.
 </li>
 <li>
 Eagerness to learn and willingness to dive deep into data validation
 </li>
 </ul>
</div>

Data Analyst

SALLA

<div>We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You&rsquo;ll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand.
This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact.<h3 class="jobSectionHeader">
Responsibilities:
</h3><ul><li>Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
</li><li>Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
</li><li>Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
</li><li>Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
</li><li>Monitor data quality, validate results, and support initiatives for data integrity and normalization.
</li><li>Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
</li><li>Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
</li><li>Support testing, troubleshooting, and improvements of reporting systems and pipelines.
</li><li>Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
</li><li>Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
</li><li>Identify and recommend process improvements and opportunities for better data-driven decision-making.</li></ul> 
Requirements<ul>
<li>Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline).
</li><li>0&ndash;2 years of experience in data analysis or a related field (internships or academic projects count).
</li><li>Strong proficiency in SQL for querying and analyzing data.
</li><li>Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase).
</li><li>Good understanding of data cleaning techniques and basic statistical concepts.
</li><li>Strong analytical skills with high attention to detail and accuracy.
</li><li>Ability to communicate findings clearly through reports, dashboards, and presentations.
</li><li>Eagerness to learn and willingness to dive deep into data validation.</li></ul></div>

<div>The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.
Requirements
<ul><li>Design and optimize machine learning algorithms for specific applications.
</li><li>Manage and preprocess large datasets to extract relevant features for training AI models.</li>
<li>Train machine learning models and evaluate their performance through testing.</li>
<li>Use programming languages (e.g., Python, Java) for AI development.</li>
<li>Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.</li>
<li>Analyze complex problems and propose innovative AI solutions to address business challenges.</li>
<li>Stay updated on the latest advancements in AI and integrate new technologies into existing systems.</li>
<li>Ensure AI applications comply with ethical standards and legal regulations.</li>
<li>Prepare comprehensive documentation for algorithms, models, and processes.</li>
<li>Engage in ongoing learning to stay abreast of emerging technologies and industry trends.</li>
<li>Assist in deploying AI models into production environments, ensuring scalability and efficiency.</li></ul></div>

AI Engineer (Saudi Only)

<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

Explore 136+ Data scientist in Jeddah this September. Find roles across top companies and apply now to boost your career.

136 data scientist jobs IN Jeddah

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Data Engineer (Saudi-based only)

Data Analyst

Data Analyst

AI Engineer (Saudi Only)

Senior/Staff Analytics Engineer