88 Data Engineer jobs in Saudi Arabia

1. Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
2. Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
3. Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
4. Optimize data storage and access strategies for improved performance and efficiency.
5. Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
6. Create comprehensive documentation for data workflows and system architecture.

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.

1. Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
2. Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
3. Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
4. Optimize data storage and access strategies for improved performance and efficiency.
5. Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
6. Create comprehensive documentation for data workflows and system architecture.

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for , webook.com is Saudi's #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Key Responsibilities:

• Data Integration and ETL Development
• Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform
• Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability
• Optimize data transformation workflows to improve performance and scalability
• Data Infrastructure and Platform Management:
• Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements
• Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning
• Data Governance and Metadata Management:
• Collaborate with the data governance team to establish data policies, standards, and procedures
• Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability
• Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data
  
  

• 5-6 years of experience as a Data Engineer or a related role in a data-driven organization
• Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services
• Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb)
• Expertise in data modeling, data quality management, and metadata management
• Proficient in programming languages such as Python, or Java, and experience with SQL
• Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices
• Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams
• Strong communication and presentation skills to effectively translate technical concepts to business stakeholders
  
  

• Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc)
• Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives
• Project management experience and the ability to lead data integration and infrastructure initiatives
• If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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Riyadh, Riyadh, Saudi Arabia 22 hours ago

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Data Engineer

Responsibilities:

1. Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services) and SSRS (Microsoft Reporting Services).
2. Debug, monitor, and troubleshoot BI solutions.
3. Create and deploy reports.
4. Write relational and multidimensional database queries.
5. Modify databases and products according to client needs.
6. Create functional requirements and reports on databases.
7. Design and develop database architectures.
8. Use and implement Data Warehouse tools and concepts.
9. Create development standards that comply with enterprise architecture guidelines.
10. Extract data from multiple structured and unstructured data sources.
11. Develop robust and presentable big data visualizations.
12. Require 3+ years of experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
13. Experience in using data visualization tools (Power BI, Tableau, AWS QuickSight, etc.).
14. Require 3+ years of experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS, with the ability to analyze and debug SQL queries.
15. Require 3+ years of experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
16. Bachelor’s degree in MIS, Computer Science, or a related field, or an equivalent combination of education and experience.

Note: The job description was missing information about whether the position is still active or expired. Assuming it is active unless indicated otherwise.

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This is a remote position.

The Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and infrastructure to support analytics, business intelligence, and data science initiatives. This includes integrating various data sources, ensuring data quality, and implementing ETL processes. The ideal candidate should have a solid foundation in programming, databases, and cloud-based solutions, with a strong willingness to learn and adapt in a fast-paced environment.

• Design, build, and maintain efficient and reliable data pipelines using SQL, Python, and cloud-based technologies.
• Support the integration of multiple data sources into centralized storage and analytics systems.
• Perform data cleansing, transformation, and validation to ensure data accuracy and reliability.
• Collaborate with data scientists, analysts, and other engineers to ensure data availability for analytics and modeling.
• Monitor and optimize existing ETL processes to improve performance and scalability.
• Assist in implementing data models to support reporting, dashboards, and predictive analytics.
• Apply software engineering best practices in code development, version control, and testing.
• Research and learn new data tools and techniques to enhance existing processes.
• Maintain clear, concise, and up-to-date technical documentation for data workflows.
• Troubleshoot and resolve data-related issues promptly and effectively.

• Proficient in Python for scripting, automation, and data processing.
• Solid understanding of SQL and relational database concepts.
• Familiarity with ETL tools (e.g., Airflow, Alteryx, or similar).
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing.
• Understanding of data modeling concepts and best practices.
• Knowledge of data visualization tools is a plus (e.g., Tableau, Power BI, or similar).
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team-oriented, multicultural environment.
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• Eagerness to learn, adapt, and grow within a data-focused role.

• Entry level

• Full-time

• IT Services and IT Consulting

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1. Design, build, and maintain data pipelines that transform and load disparate data sources into unified data sets for analysis.
2. Collaborate with data scientists and analysts to deliver reliable data solutions tailored to their needs.
3. Ensure data quality and integrity by implementing data validation and cleansing techniques.
4. Optimize performance of data storage and processes to enhance overall system efficiency.
5. Create detailed documentation of data pipelines, data processing techniques, and data models.
6. Stay current with industry best practices and emerging technologies in data engineering.

• Bachelor's degree in Computer Science, Data Science, or a related discipline.
• 3+ years of experience as a Data Engineer or in a similar role.
• Proficient in programming languages such as Python or Java and experience with ETL tools.
• Strong knowledge of SQL and experience with relational and NoSQL databases.
• Familiarity with cloud services and big data technologies (AWS, Azure, Hadoop).
• Excellent problem-solving skills and ability to work effectively in a team environment.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

This job is active and accepting applications.

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

We are seeking a skilled Data Engineer to join our team supporting one of the world’s largest payment systems. In this role, you will be responsible for developing data marts and data pipelines that power critical reporting services.

What You’ll Do And What You’ll Need

Your Responsibilities

• Develop and maintain data pipelines using Hadoop, PySpark, and Airflow to ensure efficient and reliable data processing.
• Design and build data marts that support reporting and analytics needs for our payment system clients.
• Collaborate with stakeholders to understand data requirements and deliver anonymized datasets to banks and other clients upon request.
• Write advanced SQL queries for data analysis, supporting both internal and client-driven analytical needs.
• (Optional) Participate in data visualization and dashboarding tasks using Tableau, analyzing and presenting data insights as needed.

Required

• Strong experience with SQL and Python .
• Hands-on experience with Hadoop, PySpark, and Airflow.
• Ability to analyze and process large-scale datasets.
• Good communication skills and the ability to translate business requirements into technical solutions.
• Readiness to business trip to UAE, Saudi Arabia if needed.
• Proficiency in English.
• Experience working with enterprise customers in Fintech
• Experience with Tableau or similar data visualization tools.
• Proficiency in Arabic

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Data Engineer

Responsibilities:

1. Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services) and SSRS (Microsoft Reporting Services).
2. Debug, monitor, and troubleshoot BI solutions.
3. Create and deploy reports.
4. Write relational and multidimensional database queries.
5. Modify databases and products according to client needs.
6. Create functional requirements and generate reports on databases.
7. Design and develop database architectures.
8. Use and implement Data Warehouse tools and concepts.
9. Create development standards that comply with enterprise architecture guidelines.
10. Extract data from multiple structured and unstructured data sources.
11. Develop robust and presentable big data visualizations.
12. Have 3+ years' experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
13. Experience in using data visualization tools like Power BI, Tableau, AWS QuickSight, etc.
14. Have 3+ years' experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS, with the ability to write, analyze, and debug SQL queries.
15. Possess 3+ years' experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
16. Require 3+ years' experience with SQL Server.
17. Bachelor’s degree in MIS, Computer Science, or a related field, or equivalent experience.

Job Description

Denodo is always looking for technical, passionate people to join our Customer Success team. We want a professional who will travel, consult, develop, train and troubleshoot to enhance our clients’ journey around Data Virtualization.

Your mission : to help people realize their full potential through accelerated adoption and productive use of Denodo solutions.

In this role, you will successfully employ a combination of high technical expertise and client management skills to conduct on-site and off-site consulting, product implementation, and solutions development in either short or long-term engagements. You will be a critical point of contact for getting things done among Denodo, partners, and client teams.

Job Responsibilities & Duties

• Obtain and maintain strong knowledge of the Denodo Platform, be able to deliver a superb technical pitch, including overview of our key and advanced features and benefits, service offerings, differentiation, and competitive positioning.
• Constantly learn new things and maintain an overview of modern technologies.
• Address technical questions concerning customization, integration, enterprise architecture, and general feature/functionality of our product.
• Build and/or lead the development of custom deployments based on client requirements.
• Provide timely, prioritized, and complete customer feedback to Product Management, Sales, Support, and Development regarding client business cases, requirements, and issues.
• Train and engage clients in the product architecture, configuration, and use of the Denodo Platform.
• Promote knowledge sharing and best practices while managing deliverables and client expectations.
• Manage client expectations, establish credibility at all levels within the client organization, and build problem-solving partnerships with clients, partners, and colleagues.
• Provide technical consulting, training, and support.
• Develop white papers, presentations, training materials, or documentation on related topics.

Desired Skills & Experience

• BS or higher degree in Computer Science or a related field, or equivalent experience in a similar role.
• Several years of demonstrated experience as a Data Engineer or in a similar role, preferably in data management or analytics software industry.
• Solid understanding of SQL and good grasp of relational and analytical database management theory and practice.
• Experience in Java software development, especially in web and database fields.
• Good knowledge of JDBC, XML, and Web Services APIs.
• Excellent verbal and written communication skills to interact with technical and business counterparts.
• Fluent / Native in Arabic and English.
• Active listener.
• Strong analytical and problem-solving abilities.
• Curiosity and eagerness to learn new things.
• Creativity and ability to propose innovative solutions.
• Team player with a positive attitude.

Non-Mandatory Skills (Nice to have)

• Experience with GIT or other version control systems.
• Experience with Big Data and/or NoSQL environments like Hadoop, MongoDB, etc.
• Experience with caching technologies such as JCS.
• Experience with Windows & Linux (and UNIX) server environments.
• Experience in business software implementation and integration projects (e.g., ETL/Data Warehouse architectures, CEP, BPM).
• Experience integrating with packaged applications (e.g., relational databases, SAP, Siebel, Oracle Financials, BI tools).
• Industry experience supporting mission-critical software components.
• Experience attending customer meetings and writing technical documentation.
• Foreign language skills are a plus.