Data engineer Jobs in Riyadh

Join Our Team as a Senior Data Engineer!
At AiElements, we are dedicated to providing reliable AI solutions and are currently seeking a Senior Data Engineer with strong Informatica IDMC and Governance experience. This role is pivotal in ensuring data quality and management across our projects.

About the Role:
The Senior Data Engineer will lead the design and implementation of data governance frameworks tailored specifically to the regulatory landscapes in Saudi Arabia. Your expertise in Informatica Intelligent Data Management Cloud (IDMC) will be crucial in managing data governance, cataloging, and quality.

Key Responsibilities:

• Design and implement enterprise Data Governance frameworks for KSA.
• Engage with stakeholders to identify business use cases.
• Implement data governance policies and privacy rules.
• Utilize Informatica IDMC for managing data quality processes.
• Collaborate with data stewards to ensure data is secure and discoverable.
• Develop documentation for data flows, governance processes, and transformation logic.
• Support change management initiatives.
• Perform data profiling and cleansing to ensure quality initiatives are met.

Required Qualifications:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in data engineering or ETL development using Informatica.
• Knowledge of the PDPL and other data privacy regulations.
• Familiarity with hybrid data environments.
• Strong SQL skills.

This project is temporary, expected to last for 3 months with a possibility of extension up to 6 months. If you possess the required skills and experience, we encourage you to apply!

Join E-Solutions as a Data Engineer!
We are seeking a dedicated Data Engineer to be part of our long-term project in Riyadh, Saudi Arabia. As a global leader in IT services and consulting, E-Solutions is committed to connecting technology with talent and delivering transformative solutions to a diverse range of clients.

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.
• Collaborate with architects and development teams to enhance performance and data usability.

Minimum Qualifications:

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

Preferred Qualifications:

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

Join Supertech Group as a Data Engineer!
Are you passionate about transforming lives through technology? At *******, Saudi Arabia's leading event ticketing and experience booking platform, we're looking for a talented Data Engineer to enhance our data infrastructure as we serve some of the largest mega events in the Kingdom, achieving over 2 billion in sales.

Key Responsibilities:

• Data Integration and ETL Development: Create and implement data integration pipelines to extract, transform, and load data from various sources into a centralized platform.
• Data Infrastructure Management: Ensure the reliability and security of data infrastructure, supporting the organization’s data and analytics needs.
• Data Governance: Collaborate with the governance team to establish data policies and maintain a metadata management system ensuring data integrity.

Requirements:

• 56 years of experience as a Data Engineer or in a related data-driven role.
• Proficient in designing ETL pipelines and managing data infrastructure.
• Strong programming skills in Python or Java, and SQL.
• Familiarity with cloud platforms like AWS or Google Cloud.

We encourage experienced Data Engineers who are eager to build innovative data solutions to apply for this exciting opportunity!

Join Our Team as a Data Engineer!

At flyadeal, we are looking for a dedicated Data Engineer to manage and maintain our database objects across the organization. This is an exciting opportunity to play a key role in our data engineering team, ensuring high-quality code and effective data analytics solutions.

Key Responsibilities:

• Manage SQL database objects and participate in database tasks such as coding and peer reviews.
• Collaborate closely with the development manager to align on internal processes.
• Manage database permissions and deploy scripts in multiple flyadeal stages.
• Guide the Data Engineering team in producing high-quality code.
• Develop strong working relationships with various business functions and decision-makers.
• Investigate and propose initiatives that have positive financial and operational impacts.
• Assist in shaping the next generation of our products.
• Participate in reaching an agreement on solutions for complex challenges.

Requirements:

• Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, or equivalent.
• Database administration certifications, AWS, and Azure Platform Certification.
• Minimum 1 year of working experience in Database Engineering with a focus on data analytics and reporting.
• Experience with Non-Relational Databases (Document DB, Graph DB, etc.) is a plus.
• Strong knowledge in RDBMS, Web, Client/Server, and OLAP skills.
• Deep technical knowledge in engineering and agile practices.
• Proficiency in cloud architecture and data management.

We invite you to be a part of our dynamic team at flyadeal where your expertise will be valued and transformational.

Join Tabby as a Data Engineer!
At Tabby, we are on a mission to create financial freedom for shoppers around the world through innovative payment solutions. As a Data Engineer in our Data Services Team, you will play a crucial role in developing our internal solutions, such as a Feature Store, and will also handle operational tasks.

Key Responsibilities:

• Develop Features store and other future data services.
• Develop EL/ELT/ETL pipelines.
• Integrate new tools for data processing and data storage.

Skills, Knowledge & Expertise:

• 35 years of experience as Data Engineer, ML Engineer, Backend Engineer.
• Experience in developing high-load and scalable data processing and storage systems.
• Good knowledge and background in event driving systems and streaming pipelines.
• Proficiency in Python and SQL along with best practices.
• Familiarity with tech stack including Airflow, Debezium, BigQuery/Clickhouse, PostgreSQL/CockroachDB, Docker, GitLab (CI/CD), GCP.
• Experience with REST API/GRPC API/Message brokers & Queues.

Bonus Skills:

• Golang development experience.
• Experience in modern systems of data storage: Relational, MPP, NoSQL.
• Experience on Google Cloud Platform.

Job Benefits:

• Relocation support for a smooth transition.
• Remote work flexibility.
• Choice of countries for registration (Armenia, Georgia, Serbia, Portugal, Spain).
• Tax compensation in Armenia and Georgia.
• Family relocation support.
• Coverage for flights, accommodation, and legal paperwork for new employees.
• Participation in the employee stock options program.
• Health insurance.

Join us to make your mark and grow in an inclusive and high-performing workplace!

Join Our Mission
At Calo, we are dedicated to making healthy living easier through innovative technology. As a Senior Data Engineer, you will be an integral part of our platform team, responsible for improving our data infrastructure and ensuring our products remain at the forefront of the tech industry.

Role Overview
In this role, you will design, build, and enhance the infrastructure for data processing. Your work will support various departments and contribute to our data initiatives. You'll also be documenting all models and solutions to ensure a smooth workflow.

Main Responsibilities

• Design, build, and improve the infrastructure for ingesting, storing, and transforming data.
• Design, build, and enhance dimensional models for our Data Warehouse and BI solutions.
• Collaborate with different departments to support their data initiatives.
• Document new and existing models, solutions, and implementations.

Qualifications

• 5+ years of hands-on professional experience in data engineering-related roles.
• Proven experience in building and maintaining data platforms from scratch.
• Familiarity with AWS services such as Redshift, Glue, Lambda, S3, Kinesis, and Athena.
• Experience with BI solutions.
• Advanced skills in Python and SQL.
• Experience with AI is an advantage.

Ideal Candidate Personality
We are looking for a strong communicator with a pleasant personality who can lead with empathy and patience.

Join Our Team as a Data Engineer!
We are looking for an experienced Data Engineer to design, build, and maintain data pipelines, ensuring a seamless data flow for analysis. In this role, you will work closely with data scientists and analysts, providing reliable data solutions tailored to their unique needs.

Key Responsibilities:

• Design and implement data pipelines that integrate various data sources into cohesive datasets.
• Collaborate with team members to tailor data solutions effectively.
• Implement data validation and cleansing techniques to ensure data quality and integrity.
• Optimize the performance of data storage and processes.
• Document data pipelines, processing techniques, and data models in detail.
• Stay updated on industry best practices and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• At least 3 years of experience as a Data Engineer or in a similar position.
• Proficient in programming languages such as Python or Java.
• Strong SQL skills and experience with both relational and NoSQL databases.
• Familiarity with cloud services and big data technologies (AWS, Azure, Hadoop).
• Excellent problem-solving abilities and teamwork skills.

Join Our Team as a Data Engineer
We are seeking a skilled and detail-oriented Data Engineer to become part of our exceptional team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
• Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
• Ensure data quality, integrity, and security across all systems.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
• Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
• Collaborate with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
• Translate business requirements into technical specifications and data models.
• Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
• Maintain documentation for data systems and processes.
• Contribute to the development of CI/CD pipelines for data infrastructure.
• Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements:

• Bachelor’s or master’s degree in computer science or equivalent.
• Minimum of 6+ years of experience as a Data Engineer.
• Strong proficiency in SQL and programming languages such as Python and Java.
• Must have: Java, Data Modeling, ETL.
• Strong SQL skills with experience in MySQL, Mongo DB, etc.
• Experience dealing with other Business Intelligence Tools is a plus.
• Ability to work independently and collaboratively within a team environment.
• Experience in logistics, supply chain, or e-commerce domains is a plus.

About the Role
The role of a Data Engineer at Talina involves managing and optimizing data systems through technical expertise in SQL, Python, and data modeling. This position requires handling ETL processes to ensure data accuracy and efficiency. Problem-solving and collaboration are essential soft skills, complemented by meticulous attention to detail and effective time management. This position thrives in a culture of ownership, where taking initiative and accountability are valued.

Responsibilities

• Develop and optimize SQL queries for data retrieval and manipulation.
• Utilize Python programming to automate data processes and create data pipelines.
• Design and implement data models to effectively organize and structure data.
• Implement ETL processes for extracting, transforming, and loading data into the data warehouse.
• Apply problem-solving skills to identify and resolve data-related issues effectively.
• Collaborate with team members to develop and implement data solutions.
• Demonstrate attention to detail in data analysis and data processing tasks.
• Manage time effectively to meet project deadlines and deliver high-quality work.
• Take ownership of data projects and initiatives to drive success.

Requirements

• Previous experience as a Data Engineer.
• Strong proficiency in SQL for database querying and manipulation.
• Proficiency in Python for developing data pipelines and automation.
• Experience in data modeling to design efficient, scalable databases.
• Knowledge of ETL processes for data extraction, transformation, and loading.
• Strong problem-solving skills to tackle engineering challenges.
• Ability to collaborate with cross-functional teams.
• Attention to detail ensuring accuracy and reliability of solutions.
• Excellent time management skills for prioritizing tasks.
• Demonstrated ownership mindset in driving projects to completion.

Join Ampstek as a Data Engineer (Arabic-Speaking)
We're seeking a talented Data Engineer based in Riyadh, who is fluent in Arabic. As a key member of our team, you will play a crucial role in building and maintaining scalable data pipelines and ETL workflows to support our analytics and business intelligence efforts.

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 development teams to enhance performance and data usability.

Minimum Qualifications:

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

Preferred Qualifications:

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

Join us at Ampstek, where you can contribute to innovative projects and develop your career in a dynamic work environment.

Join Lucidya as a Data Engineer!
This is a crucial role in building and maintaining our data infrastructure. You will design, develop, and manage scalable data pipelines to support our analytics and machine learning teams. Your goal is to ensure data accessibility, reliability, and organization to meet our growing analytical needs.

Key Responsibilities:

• Design and implement ETL processes for data movement and transformation.
• Build and maintain the data infrastructure for storage, processing, and analysis.
• Collaborate with data analysts and scientists to understand data needs.
• Ensure data quality and integrity throughout its lifecycle.
• Optimize storage and retrieval processes for performance.
• Document data flows and architecture changes.

Requirements:

• Bachelor's degree in Computer Science, IT, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong SQL knowledge and experience with database technologies (*, PostgreSQL, MySQL).
• Proficient in programming languages (Python, Java, Scala).
• Experience with ETL tools (*, Apache Airflow, Talend).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Knowledge of big data technologies (Hadoop, Spark) is a plus.
• Excellent communication and collaboration skills.

Why Join Us?
More than just an engineering role, you will shape the infrastructure and technical future of Lucidya. We offer Employee Stock Option Plans (ESOP) and performance-based bonuses, allowing you to have ownership in the company's success. Join our fast-growing team and take part in leading, innovating, and personal and professional growth.

Join Highbrow Technology Inc as a Data Engineer!
We are looking for a skilled Data Engineer to become part of our team in Riyadh, Saudi Arabia. This role will involve working on exciting data engineering projects for a duration of 18 months (6 months execution + 12 months support).

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 development teams to enhance performance and data usability.

Minimum Qualifications:

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

Preferred Qualifications:

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

If you are interested, please share your profile!

Join AJEX as a Data Engineer!
We are seeking a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
• Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
• Ensure data quality, integrity, and security across all systems.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
• Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
• Partner with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
• Translate business requirements into technical specifications and data models.
• Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
• Maintain documentation for data systems and processes.
• Contribute to the development of CI/CD pipelines for data infrastructure.
• Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements:

• Bachelor’s or master’s degree in computer science or equivalent.
• Minimum 6+ years as a Data Engineer.
• Strong proficiency in SQL and programming languages such as Python and Java.
• Must Needed Skills: Java, Data Modeling, ETL.
• Strong SQL skills with experience in MySQL, Mongo DB etc.
• Experience dealing with other Business Intelligence Tools is a plus.
• Ability to work independently and collaboratively within a team environment.
• Experience in logistics, supply chain, or e-commerce domains is 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 challenges.

Requirements

• 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.