246 Nosql Database jobs in Saudi Arabia

Overview

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.

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.

• Adaptability in a fast-moving environment
• Proactive problem-solving mindset
• Strong analytical and data-driven decision-making skills
• Meticulous attention to detail
• Commitment to delivering exceptional value to clients
• True passion and pride in the work we deliver

• Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
• Technical Customizations: Deploy technical customizations to pre-packaged software solutions.
• Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
• Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
• Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
• Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
• 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.

• Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.
• Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
• Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
• KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
• 2+ years of experience in data engineering or a related role.
• Proven experience in data engineering or a related role.
• Proficiency in data pipeline development, including ETL processes.
• Strong programming skills in languages such as Python, C#, or Java.
• Experience in extracting applicable data from databases using SQL.
• Experience in cloud computing platforms (AWS/GCP/Azure).
• Experience with BI tools like Power BI, Tableau, or similar platforms.
• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a cross-functional team environment.
• Knowledge of data governance and security best practices is a plus.
• Excellent verbal and written communication skills.
• Excellent data visualization and communication skills.
• Experience with Power Platform Development applications.
• Experience with custom SharePoint applications and workflows.

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.

• 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.
• 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.
• Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
• 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.
• Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.

Overview

Master Works is looking for a seasoned Data Engineer with over 5 years of experience to design and implement scalable data solutions that drive business insights. The ideal candidate will take ownership of our data architecture while collaborating closely with data scientists, analysts, and other stakeholders to deliver high-quality data products.

• Design, develop, and maintain robust data pipelines and architectures to support data collection, analysis, and reporting needs.
• Implement ETL processes to efficiently extract, transform, and load data from various sources into data storage solutions.
• Optimize existing data systems for performance and scalability, addressing any bottlenecks in processing and storage.
• Ensure data integrity and quality by implementing rigorous testing and monitoring practices.
• Document data architecture, data flow, and pipeline processes to ensure clarity and facilitate maintenance.
• Stay current with industry trends and advancements in data technologies and frameworks.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of proven experience as a Data Engineer or in a related role.
• Strong programming skills in languages such as Python, Java, or Scala.
• Extensive experience with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL technologies (e.g., MongoDB, Cassandra).
• Proficiency in building and optimizing ETL pipelines and utilizing big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving skills and ability to work collaboratively in a dynamic team environment.

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.

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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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.

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.

Job Title:
Data Engineer – Government Project (Riyadh)

Type:
Long-Term Contract |
Duration:
18 Months (6 months execution + 12 months support)

Location:
Riyadh, Saudi Arabia (
On-site preferred, locals highly preferred
)

Role Overview:

We are seeking an experienced
Data Engineer
to support a large-scale
government project
in Riyadh. The role involves designing and maintaining data pipelines, integrating diverse data sources, and ensuring high data quality and availability for analytics and BI teams. You will collaborate with architects and developers to enhance system performance and ensure compliance with strict government standards.

Responsibilities:

• Develop and manage scalable
  ETL pipelines
  and workflows
• Integrate and process data from multiple sources with accuracy and timeliness
• Deliver clean, reliable data to support analytics, reporting, and BI initiatives
• Optimize performance and usability of data systems in collaboration with cross-functional teams

Qualifications:

• Bachelor's in
  Data Engineering, Computer Science, or related field
• 5+ years
  of data engineering experience
• Strong expertise in
  SQL, Python/Scala
  , and
  ETL frameworks
  (Airflow, Talend, Glue)
• Hands-on with
  big data tools
  (Spark, Hadoop, Kafka)

Preferred:

• Experience in
  government or high-compliance projects
• Knowledge of
  Arabic language/translation workflows
• Cloud certifications
  (AWS, Azure, GCP)

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.