Data engineer Jobs in Riyadh

Join NOZOM as a Data Engineer – Master & Reference Data!
We are seeking a highly qualified candidate to join our Riyadh team. NOZOM is committed to integrating local talents with global expertise, and as a Data Engineer, you'll play a critical role in shaping our data management initiatives.

Responsibilities:

• Design, implement, and maintain master and reference data models, workflows, and governance frameworks.
• Ensure data quality, consistency, and completeness across diverse sources.
• Integrate and manage data using tools such as Informatica MDM, Talend, and Qlik.
• Develop and optimize data pipelines and ETL processes.
• Collaborate with cross-functional teams to align data solutions with business objectives.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or Engineering.
• CIMP and CDMP certifications are mandatory.
• Strong programming skills in Python, Java, SQL, and Scala.
• Experience with relational and NoSQL databases like MySQL, MongoDB, and Hadoop.
• Proficiency with data integration tools such as Apache Kafka, Talend, and Informatica.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).
• Fluency in both Arabic and English (Arabic is mandatory).

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.

About Mozn
Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. We aim to realize Vision 2030 while supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. We are the trusted AI technology partner for numerous government organizations and large corporations, and we are excited to scale our company to provide innovative AI-powered products and solutions both locally and globally.

About The Role
We are looking for a skilled Data Engineer to join our team and contribute to the development of Mozn's Text-to-SQL product, Talk to Your Data. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our AI-driven SQL generation system. Collaboration with machine learning engineers, software developers, and product managers is essential to ensure seamless data integration, effective query execution, and system scalability.

What You'll Do

• Develop and maintain scalable data pipelines and ETL processes for model training and inference.
• Optimize SQL query generation by designing database schemas and indexing strategies.
• Collaborate with ML engineers to preprocess and structure datasets.
• Generate realistic SQL queries and natural language questions to improve model accuracy.
• Monitor and enhance data pipeline performance.
• Ensure data quality by implementing validation mechanisms.
• Support real-time and batch query execution.
• Stay updated with best practices in data engineering.

Qualifications

• 35 years of experience in data engineering or database administration.
• Strong SQL skills and proficiency in Python.
• Experience with relational databases and cloud-based data warehouses.
• Familiarity with ETL tools.
• Excellent problem-solving skills and ability to collaborate.

Nice-to-Have

• Understanding of Text-to-SQL models.
• Experience with LLMs and NLP systems.

Benefits
You will enjoy competitive compensation, top-tier health insurance, and a dynamic workplace focused on innovation and results.

Join Accenture Middle East as a Data Engineer Consultant!
As part of our innovative team, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. This role demands ownership of critical engineering components, from data pipelines to ETL flows, while ensuring data quality and yielding robust insights.

Key Responsibilities:

• Design and maintain end-to-end data pipelines and ETL/ELT workflows for large datasets.
• Implement validation and monitoring mechanisms to ensure data integrity.
• Develop high-performance data solutions to enhance operational efficiency.
• Collaborate with product teams, data scientists, and business stakeholders.
• Guide technical decisions as a subject matter expert.
• Monitor pipeline performance and troubleshoot issues.

Required Skills & Qualifications:

• 68 years of experience in data engineering with ETL and data pipeline expertise.
• Proficiency in SQL, Python, and data frameworks/tools (*, Airflow, Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Ability to design scalable and efficient data architectures.
• Strong decision-making capabilities in collaborative environments.

Why Join Us?

• Transparent and fast-paced career progression focused on your strengths.
• Work alongside experts solving significant industry challenges.
• Flexible work arrangements and competitive rewards.

Next Steps:
If this sounds like the ideal role, click to apply now and take your career to the next level with Accenture Middle East!

Join Quant as a Data Engineer!
In an age of Big Data, our goal is to empower organizations in decision-making through data and science. As a Data Engineer, you will be essential in developing, maintaining, and optimizing data pipelines and infrastructure to support our analytics and data science initiatives.

Key Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines using SQL, Python, and cloud technologies.
• Support integration of multiple data sources into centralized systems.
• Perform data cleansing, transformation, and validation for data accuracy.
• Collaborate with data teams to ensure data availability.
• Monitor and improve existing ETL processes.
• Implement data models for reporting and analytics.
• Apply software engineering best practices.
• Maintain up-to-date technical documentation for data workflows.

Requirements:

• Proficient in Python for scripting and automation.
• Solid understanding of SQL and relational databases.
• Familiarity with ETL tools (*, Airflow, Alteryx).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling and visualization tools.
• Strong problem-solving skills and detail-oriented.
• Ability to collaborate in a multicultural environment.
• Bachelor’s degree in Computer Science or related field.
• Eagerness to learn and grow in a data-focused role.

Join Quant as a Data Engineer!
Are you passionate about data and eager to make an impact? At Quant, we are looking for a dedicated Data Engineer to develop and maintain efficient data pipelines and infrastructure supporting our analytics and business intelligence initiatives.

Key Responsibilities:

• Design, build, and maintain reliable data pipelines using SQL, Python, and cloud technologies.
• Integrate multiple data sources into centralized analytics systems.
• Perform data cleansing and validation to ensure accuracy.
• Collaborate with data scientists and analysts to ensure data availability for modeling.
• Monitor and optimize ETL processes for better performance and scalability.
• Assist in implementing data models for reporting and predictive analytics.
• Apply software engineering best practices in development and testing.
• Stay updated with new data tools and techniques.
• Document data workflows clearly and concisely.
• Troubleshoot and resolve data-related issues effectively.

Requirements:

• Proficient in Python for data processing.
• Strong understanding of SQL and relational databases.
• Familiar with ETL tools (Airflow, Alteryx, etc.).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling concepts.
• Knowledge of data visualization tools is a plus.
• Strong problem-solving skills and attention to detail.
• Team player in a multicultural environment.
• Bachelor’s degree in Computer Science or a related field.
• Eager to learn and grow in a data-focused role.

Join AiElements as a Senior Data Engineer (Informatica EDC)
We are seeking a highly skilled and experienced Senior Data Engineer (Informatica EDC) to support our team. This role is key to enhancing the organization’s data governance and management capabilities by implementing, operating, and optimizing Informatica Enterprise Data Catalog (EDC) and related tools in line with NDMO standards.

Key Responsibilities:

• EDC Implementation & Operation:
  • Lead the technical renewal, deployment, and administration of Informatica EDC.
  • Connect and maintain integrations with a wide range of internal data sources.
  • Deploy and configure the solution in an on-premise environment ensuring high availability and scalability.
  • Monitor system performance and optimize resource allocation.
• Data Governance & Compliance:
  • Manage and maintain metadata cataloging across enterprise systems.
  • Enforce NDMO-aligned data protection, governance, and cybersecurity policies within the EDC environment.
  • Collaborate with data privacy teams to configure and integrate Informatica Data Privacy features.
• System Integration & Documentation:
  • Integrate EDC with other Informatica tools including Axon, IDQ, and PowerCenter.
  • Develop comprehensive technical documentation: solution design, operating manuals, and user guides.
  • Implement user access control and authentication via LDAP/Active Directory, and manage role-based access.
• Support & Enablement:
  • Provide ongoing maintenance and technical support for the EDC platform throughout the project lifecycle.
  • Participate in awareness and enablement campaigns to drive adoption across departments.

Required Qualifications & Experience:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 5 years of experience in data engineering, with at least 3 focused on data cataloging and governance.
• Proven expertise in Informatica Enterprise Data Catalog (EDC).
• Hands-on experience with Axon, IDQ, and PowerCenter.
• Strong understanding of relational and non-relational databases (SQL, NoSQL, Hadoop).
• Proficient in handling structured and semi-structured data (CSV, JSON, XML).

Preferred Skills:

• Experience in deploying and managing on-premise enterprise data solutions.
• Familiarity with NDMO data governance frameworks.
• Strong technical documentation and communication skills.
• Ability to work independently and collaboratively within cross-functional teams.

Join Our Team as a Senior Data Engineer!
At Salla E-Commerce Platform, we are on the lookout for a highly skilled Senior Data Engineer who possesses a deep expertise in ClickHouse and streaming data. If you are passionate about building scalable real-time analytics solutions, this role is for you!

Key Responsibilities:

• Design, implement, maintain, and document highly scalable data pipelines for real-time and batch processing.
• Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
• Develop and maintain solutions for streaming and serverless data processing.
• Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
• Ensure data quality, reliability, and performance across the platform.
• Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
• Mentor junior engineers and contribute to the continuous improvement of engineering practices.

Requirements:

• 5+ years of experience in data engineering or related fields.
• Strong expertise in ClickHouse including schema design, job optimization, and cluster management.
• Proven experience in real-time data processing using tools like Apache Kafka and Apache Spark Streaming.
• Deep understanding of Distributed systems with a focus on scalability and resilience.
• Proficiency in programming languages like Python or Java.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with Docker and Kubernetes.

Preferred Qualifications:

• Experience in the e-commerce industry or similar high-traffic environments.
• Knowledge of ETL/ELT tools like Airflow or dbt.
• Familiarity with monitoring tools like Prometheus or Grafana.

Job Summary: We are seeking a Senior Data Engineer (IDMC) with strong Governance experience in enterprise data sourcing and data management projects, and a deep expertise in implementing Informatica Intelligent Data Management Cloud (IDMC) capabilities—especially in Data Governance, Cataloging, and Data Quality. The ideal candidate will work on designing and developing data governance, quality, and optimizing data pipelines that support data integration and transformation across hybrid environments.

Key Responsibilities:

• Lead the design and implementation of enterprise Data Governance frameworks.
• Identify and prioritize business use cases by engaging with stakeholders across multiple sectors.
• Implement data governance policies, controls, and privacy rules.
• Utilize Informatica IDMC to manage metadata, data lineage, and data quality processes.
• Work closely with data stewards and architects to ensure data is discoverable and secure.
• Troubleshoot and optimize workflows for performance.
• Develop documentation for data assets and governance processes.
• Support change management to promote a data governance culture.

Required Qualifications:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of hands-on experience in data engineering or ETL development using Informatica.
• Strong knowledge of Informatica IDMC.

Preferred Skills:

• Exposure to Informatica IDMC, Axon, and MDM tools.
• Experience in banking or regulated sectors within Saudi Arabia.