34 Data Engineer jobs in Riyadh

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.

Position Overview

Master Works is seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in data engineering best practices and big data technologies. This role involves designing, developing, and maintaining data pipelines, optimizing data processing performance, and collaborating with data scientists and analysts to ensure data quality and integrity.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain data pipelines using industry-standard tools and technologies.
• ETL Processes: Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
• Performance Optimization: Optimize data processing performance and scalability to handle large volumes of data efficiently.
• Data Quality: Collaborate with data scientists and analysts to ensure data quality, integrity, and accuracy.
• Technical Expertise: Utilize proficiency in SQL and programming languages such as Python to develop data solutions and address technical

Qualifications

• Experience: +3 years of experience with big data technologies such as Hadoop, Spark, and Hive.
• Data Modelling: Knowledge of data modelling and data warehousing concepts.
• Programming Skills: Proficiency in SQL and Python programming.
• Data Integration: Familiarity with data integration tools and techniques.

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.

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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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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Riyadh, Riyadh, Saudi Arabia 53 minutes ago

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4 weeks ago Be among the first 25 applicants

SWATX is seeking a skilled and experienced Data Engineer with minimum 3 years of experience to join our team. In this role, you will be responsible for building and maintaining our data infrastructure and architecture, ensuring the availability, reliability, and scalability of our data solutions. You will work closely with cross-functional teams to design and implement data pipelines, develop data models, and optimize data storage and retrieval processes. If you have a strong background in data engineering and a passion for transforming raw data into valuable insights, we would love to hear from you.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures
• Collect, process, and analyze large datasets from various sources to support business intelligence and analytics
• Implement data integration solutions to ensure seamless data flow between systems and databases
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions
• Ensure data quality and integrity by performing regular data cleansing and validation
• Optimize and tune database performance to handle large volumes of data efficiently
• Develop and enforce data security and privacy policies to protect sensitive information
• Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise
• Create and maintain comprehensive documentation of data processes, pipelines, and architectures
• Stay updated with emerging technologies and industry best practices in data
  
  

• Bachelor's degree in computer science, Information Technology, or a related field
• Proven experience as a Data Engineer or in a similar role
• Strong proficiency in SQL and experience with relational databases (e.g., MSSQL, Oracle, MySQL, PostgreSQL)
• Experience with BI technologies (e.g. Microsoft Power BI, Oracle BI, or similar)
• Preferable experience with big data technologies (e.g., Hadoop, Spark, Kafka)
• Proficiency in machine learning programming languages such as Python, R
• Experience with Enterprise Data warehouse and Data Lake
• Experience with ETL tools and processes (e.g. SSIS, ODI, Talend)
• Knowledge of data modeling, data architecture, and data governance principles
• Strong problem-solving skills and attention to detail
• Excellent communication skills, both verbal and written, in English and Arabic
  
  

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Power BI Associate
• Cloudera Certified Professional (CCP): Data Engineer
• Certified Data Management Professional (CDMP)

• Seniority level Mid-Senior level

• Employment type Contract

• Industries IT Services and IT Consulting

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Riyadh, Riyadh, Saudi Arabia 21 hours ago

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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.

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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