156 Nosql Database jobs in Saudi Arabia

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.

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:

• Designing and implementing ETL processes to move and transform data from various sources.
• Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
• Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
• Ensuring data quality and integrity throughout the data lifecycle.
• Optimizing data storage and retrieval processes for performance and scalability.
• Documenting data flows, transformations, and any changes to data architecture.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a Data Engineer or similar role.
• Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong attention to detail and ability to ensure data accuracy and consistency.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.

This is more than just an engineering role—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—both personally and professionally.

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, known for its 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, and Kafu Games, the largest esports tournament platform in MENA.

Key Responsibilities :

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.
2. Design and develop complex ETL processes to ensure data quality, consistency, and reliability.
3. Optimize data transformation workflows for performance and scalability.
4. Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs.
5. Ensure the reliability, security, and availability of data infrastructure through monitoring, troubleshooting, and disaster recovery planning.
6. Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures.
7. Develop and maintain metadata management systems for data lineage, provenance, and traceability.
8. Implement data quality control measures and validation processes to maintain data integrity.

Requirements

• 5-6 years of experience as a Data Engineer or in a related role within a data-driven organization.
• Proficient in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services.
• Strong experience managing data infrastructure, including data lakes, warehouses, and real-time streaming platforms (e.g., Elasticsearch, Google BigQuery, MongoDB).
• Expertise in data modeling, data quality, and metadata management.
• Proficient in Python, Java, and SQL.
• Familiar with cloud platforms such as AWS and Google Cloud, and DevOps practices.
• Excellent problem-solving skills and ability to collaborate across teams.
• Strong communication skills to translate technical concepts to business stakeholders.

Preferred Qualifications :

• Experience with data visualization and BI tools like Tableau or Qlik.
• Knowledge of machine learning and AI applications in data initiatives.
• Project management experience, especially leading data initiatives.
• If you are a seasoned Data Engineer passionate about building scalable data solutions, we encourage you to apply for this exciting opportunity.

Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis.

Responsibilities:

• Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources
• Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time
• Implement data quality checks and validation procedures to maintain data integrity
• Optimize data pipelines for performance and scalability, ensuring efficient data processing
• Monitor data flow and resolve any issues related to data processing or quality
• Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team
• Stay updated on best practices and advancements in data engineering, Talend, and related technologies
  
  

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer, with a strong focus on Talend
• Expertise in ETL design and implementation using Talend data integration tools
• Solid understanding of database management systems, SQL, and data warehousing concepts
• Experience with data modeling and database design best practices
• Strong analytical and problem-solving skills, with attention to detail
• Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus
• Excellent communication skills for collaborating with cross-functional teams and stakeholders
• A self-starter with the ability to work independently as well as part of a team
• Knowledge of data governance and data security practices
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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Get notified about new Data Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

Riyadh, Riyadh, Saudi Arabia SAR12,000.00-SAR17,000.00 1 month ago

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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 :

• Designing and implementing ETL processes to move and transform data from various sources.
• Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
• Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
• Ensuring data quality and integrity throughout the data lifecycle.
• Optimizing data storage and retrieval processes for performance and scalability.
• Documenting data flows, transformations, and any changes to data architecture.

Requirements

Benefits

Why Join Us?

This is more than just an engineering role—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—both personally and professionally.

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:

• Designing and implementing ETL processes to move and transform data from various sources.
• Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
• Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
• Ensuring data quality and integrity throughout the data lifecycle.
• Optimizing data storage and retrieval processes for performance and scalability.
• Documenting data flows, transformations, and any changes to data architecture.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a Data Engineer or similar role.
• Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong attention to detail and ability to ensure data accuracy and consistency.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.

This is more than just an engineering role—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—both personally and professionally.

About us :

Artefact is a data service provider specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are experiencing rapid growth.

Our data-driven solutions are designed to meet our clients' specific needs with a business-centric approach and tangible results. Our services are built upon deep AI expertise, serving over 1000 clients worldwide.

We have 1000 employees across 20 offices focused on accelerating digital transformation. Our assets include state-of-the-art data technologies, agile AI methodologies, and cohesive teams of business consultants, data analysts, data scientists, data engineers, and digital experts, all committed to delivering value.

About the role :

As a Data Engineer at Artefact, you will have opportunities to innovate, build, train, and collaborate with a team of consultants, data scientists, creatives, and engineers to identify business needs and develop solutions. You will work in a collaborative environment that values knowledge sharing, coaching, and cross-departmental cooperation.

Your technical skills :

• Programming in Python, including building, testing, and deploying code into production
• SQL skills with experience in relational/columnar databases (e.g., BigQuery, SQL Server, Postgres)
• Experience with Git and version control
• Willingness to learn and solve complex problems
• Exposure to cloud providers (GCP, Azure, AWS) is desirable
• Experience with agile development and CI/CD processes is a plus

Your mindset :

• Curious and innovative, always seeking solutions for clients
• Knowledge sharing is important; participate in seminars, training, and certifications
• Entrepreneurial mindset, bringing new ideas and solutions
• Ability to manage the entire project lifecycle, including infrastructure, data collection, machine learning, APIs, front-end, testing, and deployment
• Strong communication skills to explain technical concepts to non-technical stakeholders
• Independent in managing tasks and timelines

Why you should join us

• Revolutionize marketing with us
• Daily new challenges and learning opportunities
• Vibrant and diverse company culture (see Artefact.com or Instagram @ArtefactUK)
• Be part of a driven entrepreneurial team committed to industry impact

Join to apply for the Data Engineer role at Accenture Middle East

Join to apply for the Data Engineer role at Accenture Middle East

Accenture Technology:

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at

Accenture Technology:

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at Overview:

As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components—from data pipelines to ETL flows—maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.

Key Responsibilities:

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Business Consulting and Services

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3 weeks ago Be among the first 25 applicants

• 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
  
  

• 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

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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Get notified about new Data Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

Riyadh, Riyadh, Saudi Arabia 53 minutes ago

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