129 Data Engineer jobs in Saudi Arabia

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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Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.

Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.

Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.

Optimize data storage and access strategies for improved performance and efficiency.

Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.

Create comprehensive documentation for data workflows and system architecture.

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

• Mid-Senior level

• Full-time

• Other

• IT Services and IT Consulting

This job is active and still accepting applications.

Data Engineer

Responsibilities:

• Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services), SSRS (Microsoft Reporting Services).
• Debug, monitor, and troubleshoot BI solutions.
• Create and deploy reports.
• Write relational and multidimensional database queries.
• Modify databases and products according to client needs.
• Create functional requirements.
• Create reports on databases.
• Design and develop database architectures.
• Use and implement Data Warehouse tools and concepts.
• Create development standards that comply with enterprise architecture guidelines.
• Extract data from multiple structured and unstructured data sources.
• Develop robust and presentable big data visualizations.

Requirements:

• 3+ years' experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
• Experience in using data visualization tools (Power BI, Tableau, AWS QuickSight, etc.).
• 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.
• 3+ years' experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
• Bachelor's degree in MIS, Computer Science, or a related field, or an equivalent combination of education and experience.

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.

• 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.

Preferred Qualifications:

• 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.

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.

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.

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's 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 for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes 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.

1. 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, flat files) into a centralized data platform. Design and develop complex ETL processes to ensure data quality, consistency, and reliability. Optimize workflows for performance and scalability.
2. Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs. Ensure data infrastructure's reliability, security, and availability through monitoring, troubleshooting, and disaster recovery planning.
3. Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures. Develop and maintain metadata management systems for data lineage, provenance, and traceability. Implement data quality control and validation processes to maintain data integrity.

1. 5-6 years of experience as a Data Engineer or in a related role within a data-driven organization.
2. Proficiency in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services.
3. Experience managing data infrastructure such as data lakes, data warehouses, and real-time streaming platforms (e.g., Elastic, Google BigQuery, Mongodb).
4. Expertise in data modeling, data quality, and metadata management.
5. Proficiency in programming languages like Python or Java, and SQL.
6. Familiarity with cloud platforms (AWS, Google Cloud) and DevOps practices.
7. Strong problem-solving skills and ability to collaborate across teams.
8. Excellent communication and presentation skills to translate technical concepts to business stakeholders.

1. Knowledge of data visualization and BI tools (e.g., Tableau, Qlik).
2. Understanding of machine learning and AI applications in data initiatives.
3. Project management experience and leadership in data projects.

If you are a seasoned Data Engineer passionate about building scalable and robust data solutions, we encourage you to apply for this exciting opportunity.

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.