62 Data Engineer jobs in Riyadh

Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity.

By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.

With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change.

#Creative Tech for Better Change

Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.

The Data Engineer will be responsible for the following activities:

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization’s requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

• Programming Skills: Proficiency in programming languages such as Python, Java, Scala, or SQL is essential for data engineering roles. Data engineers should have experience in writing efficient and optimized code for data processing, transformation, and integration.
• Database Knowledge: Strong knowledge of relational databases (e.g., SQL) and experience with database management systems (DBMS) is crucial. Familiarity with data modeling, schema design, and query optimization is important for building efficient data storage and retrieval systems.
• Big Data Technologies: Understanding and experience with big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka is highly beneficial. Knowledge of distributed computing and parallel processing frameworks is valuable for handling large-scale data processing.
• ETL and Data Integration: Proficiency in Extract, Transform, Load (ETL) processes and experience with data integration tools like Apache NiFi, Talend, or Informatica is desirable. Knowledge of data transformation techniques and data quality principles is important for ensuring accurate and reliable data.
• Data Warehousing: Familiarity with data warehousing concepts and experience with popular data warehousing platforms like Amazon Redshift, Google BigQuery, or Snowflake is advantageous. Understanding dimensional modeling and experience in designing and optimizing data warehouses is beneficial.
• Cloud Platforms: Knowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is increasingly important. Experience in deploying data engineering solutions in the cloud and utilizing cloud-based data services is valuable.
• Data Pipelines and Workflow Tools: Experience with data pipeline and workflow management tools such as Apache Airflow, Luigi, or Apache Oozie is beneficial. Understanding how to design, schedule, and monitor data workflows is essential for efficient data processing.
• Problem-Solving and Analytical Skills: Data engineers should have strong problem-solving abilities and analytical thinking to identify data-related issues, troubleshoot problems, and optimize data processing workflows.
• Communication and Collaboration: Effective communication and collaboration skills are crucial for working with cross-functional teams, including data scientists, analysts, and business stakeholders. Data engineers should be able to translate technical concepts into clear and understandable terms.

Education and Experience

• Minimum Two years of related experience is highly preferred.
• Two certifications in GCP (within 3 months after joining).

Status: Full-Time

Duration: –

The Devoteam Group is committed to equal opportunities, promoting its employees on the basis of merit and actively fighting against all forms of discrimination. We believe that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities.

What you’ll be doing

If you like these keywords you’ll love this role:

#jira #workflows #projectmanagement #documentation #software

Do you have experience with Atlassian products such as Jira, Confluence or Bitbucket? We’re looking for an Alassian Consultant who loves to configure and optimize Atlassian tools for our clients. The end goal: ensure seamless collaboration experiences within and between the teams of our clients’ organizations. You’ll be part of our multidisciplinary Innovative Tech team, where DevOps, Agile, Cloud & Software Engineering experts all work together to create remarkable solutions based on cutting-edge technology.

In this role you work with your team on projects such as optimizing the Jira/Confluence environments of our clients so that the experience of end-users improves, supporting Atlassian cloud migrations, configuring new Bitbucket environments, and so on. Together, we empower leading enterprises & governments to bring positive change to the world with cutting-edge technology & digital strategies.

Create new solutions and see them through, from conception to production;

Turn requirements into simple and sophisticated technological systems;

Design, build, and maintain efficient, reusable, and reliable code;

Research new technologies to find new and efficient ways to solve day to day challenges;

Challenge the status quo and improve the team and product.

• Work closely with clients and internal teams to identify and prioritize business needs, translating them into clear, feasible solutions using low-code platforms, particularly OutSystems;
• Collaborate in the project planning and delivery by contributing to timeline definition, scope management, resource allocation, risk identification, and progress reporting;
• Drive the requirements gathering and analysis process, ensuring alignment between business stakeholders and development teams;
• Create and maintain clear, detailed user stories, continuously refining the project backlog and ensuring that acceptance criteria are well understood and achievable;
• Actively participate in Agile ceremonies such as daily stand-ups, sprint planning, and sprint reviews, negotiating priorities, deadlines, and scope changes with clients;
• Support on functional demos with stakeholders, feedback collection and analysis to contribute to continuous product improvement;
• Ensure the implementation of best practices in functional analysis, with a strong focus on delivery quality, team collaboration, and expectation alignment;
• Functional testing and validation processes in test environments, ensuring the quality and readiness of the delivered solutions.
• Translate business needs to technical specifications
• Design, build, and maintain charts, dashboards, and KPIs
• Design & build BI test cases
• Facilitate the UAT workshops with the with business
• Play key roles in building RSD (Report Specs Document) and KPI cards
• Participate heavily in designing & building BI user guides and awareness sessions
• Conduct unit testing and troubleshooting
• Story-telling using data visualization
• Communicate with data warehousing and BI storage tools (e.g. OLAP cubes) to get the data for the visualizations
• Evaluate and improve existing BI systems
• Develop and execute SQL database queries and conduct analyses
• Work with different data format; structured, semi-structured, and geospatial
• Data cleansing and normalization when needed
• Perform descriptive, diagnostic, and predictive analysis on the data

Responsibilities

• Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets.
• Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data.
• Develop and design best practices of CDC and SCD for existing systems to maintain data consistency
• Participates in evaluation and deployment of big data tools, relevant to the development.
• Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization.
• Optimize and tune data systems for performance and reliability.
• Develop and implement data models and schemas to support business intelligence and analytics needs.
• Monitor and troubleshoot data pipelines to ensure smooth and efficient operation.
• Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure.
• Document data engineering architectures and follow best practices.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience as a Data Engineer, Data Architect, Big Data Administrator or similar role.
• Strong programming skills in Python.
• Experience with UNIX system administration using command line.
• Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka
• Proficiency in SQL and experience with relational databases.
• Knowledge of data modeling, ETL processes, and data warehousing solutions.
• Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
• Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO.
• Experience in enhancing the performance of big data applications, including optimizing system operations.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong communication skills and the ability to explain complex technical concepts to non-technical audiences.

One of our Client is hiring for the position of Data Engineer in Riyadh

Job Title:Data Engineer

Location: Riyadh

Key Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows

• Integrate multiple data sources, ensuring accuracy and timeliness

• Support analytics and business intelligence teams with clean, optimized data

• Work closely with architects and dev teams to enhance performance and data usability

Minimum Qualifications:

• Bachelors degree in Data Engineering, Computer Science, or related field

• 5+ years of hands-on data engineering experience

• Strong command of ETL frameworks (e.g., Airflow, Talend, Glue)

• Experience with big data tools (e.g., Spark, Hadoop, Kafka)

• Advanced skills in SQL, Python, or Scala

Preferred:

• Prior experience in government or high-compliance environments

• Familiarity with Arabic language or translation workflows

• Cloud certifications (AWS, Azure, GCP)

Overview

Join to apply for the Data Engineer role at Compunet Connections .

Location: Riyadh, Saudi Arabia (On-site preferred). Long-Term Contract. Local to Riyadh.

• Build and maintain scalable data pipelines and ETL workflows
• Integrate multiple data sources, ensuring accuracy and timeliness
• Support analytics and business intelligence teams with clean, optimized data
• Work closely with architects and dev teams to enhance performance and data usability

• Government Project – Riyadh based
• Duration: 18 Months (6 months execution + 12 months support)
• Location: Riyadh, Saudi Arabia (On-site preferred)
• Long-Term Contract
• Local to Riyadh

• Bachelor’s degree in Data Engineering, Computer Science, or related field
• 5+ years of hands-on data engineering experience
• Strong command of ETL frameworks (e.g., Airflow, Talend, Glue)
• Experience with big data tools (e.g., Spark, Hadoop, Kafka)
• Advanced skills in SQL, Python, or Scala

• Prior experience in government or high-compliance environments
• Familiarity with Arabic language or translation workflows
• Cloud certifications (AWS, Azure, GCP)

• Mid-Senior level

• Contract

• Information Technology

• IT Services and IT Consulting

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 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.

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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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.

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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