568 Data Engineering jobs in Saudi Arabia

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Job Description

Design, build, and manage scalable data pipelines to collect, transform, and store data from various internal and external sources.

Responsibilities

• Design, build, and manage scalable data pipelines to collect, transform, and store data from various internal and external sources.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Ensure data integrity, accuracy, and availability across all systems and platforms.
• Optimize data infrastructure for performance, reliability, and cost-efficiency.
• Develop and maintain processes using modern data tools and platforms.
• Implement data governance, security, and privacy best practices in compliance with regulatory requirements.
• Monitor, troubleshoot, and improve data workflows and performance issues.
• Document data architecture, data flows, and technical processes.
• Support the development of data models and analytical datasets for reporting and AI/ML use cases.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 2–5 years of experience in data engineering, data warehousing, or similar roles.
• Strong problem-solving and communication skills.
• Analytical Thinking
• Leadership
• Teamwork and Time Management

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services

Notes

We’re not including extraneous notices or platform-specific prompts in this refined description. This focuses on the role, responsibilities, qualifications, and standard job details.

Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

• Minimum 10 years of proven experience in data management within the banking sector
• Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
• Proficiency in implementing data governance policies, developing data processing and storage solutions
• Must be fluent in Arabic and English

• Bachelor’s degree in computer science, IT, or equivalent

• Winner of Entrepreneur 360 Award (2019)
• IAOP Award; Ranked in the top 100 internationally
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
• Named one of the top ten fastest-growing businesses in Houston in 2016
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017

Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

• Minimum 10 years of proven experience in data management within the banking sector
• Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
• Proficiency in implementing data governance policies, developing data processing and storage solutions
• Must be fluent in Arabic and English

• Bachelor’s degree in computer science, IT, or equivalent

• Winner of Entrepreneur 360 Award (2019)
• IAOP Award; Ranked in the top 100 internationally
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
• Named one of the top ten fastest-growing businesses in Houston in 2016
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017

Overview

Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the Job requirements below. Your immediate application will enable us to place you successfully.

• 8+ years of experience in data engineering with at least 2–3 years in a managerial or lead capacity


• Strong experience with SQL, Python/Scala, and data architecture patterns in financial systems


• Hands-on experience with data platforms such as Hadoop, Spark, Snowflake, Redshift, or BigQuery


• Experience with banking core systems (e.g., Temenos, Finacle, FIS) and financial data integration is a strong advantage


• Familiarity with financial regulations and reporting standards (e.g., BCBS 239, MiFID II, GDPR)

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field


• Certified Data Management Professional (CDMP)


• AWS/GCP/Azure Data Engineer Certifications

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

• Winner of Entrepreneur 360 Award (2019).


• IAOP Award; Ranked in top 100 internationally.


• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest growing companies of America.


• Named one of the top ten fastest growing businesses in Houston in 2016.


• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

Job Purpose :

• The Manager of Data Engineering & Storage will help lead the design, development, and optimization of data pipelines, integration strategies, and storage infrastructure to support the Insurance Authority's data-driven objectives. The role ensures that data is ingested, processed, and stored securely and efficiently to serve analytical, operational, and regulatory needs.

Key Responsibilities and Activities

Operations Management:

Implement the policies, regulations, procedures, and controls so that all relevant procedural/ legislative requirements are met while delivering high-quality and cost-effective results.

Data Engineering & Storage :

Data Pipeline & Storage Development

• Design and optimize scalable data pipelines for real-time and batch processing.
• Ensure seamless data ingestion, transformation, and delivery from internal and external sources.
• Enhance automation and monitoring capabilities to reduce disruptions and optimize performance.
• Support regulatory data processing requirements and business analytics workflows.

Data Integration and Sharing

• Develop and implement data integration strategies for unifying data across systems and departments.
• Standardize data interoperability through APIs and common formats.
• Manage secure data-sharing processes within IA and with external stakeholders.
• Monitor integration workflows to ensure high performance and compliance.

Data Operations Management

• Oversee daily operations of data systems ensuring high availability and reliability.
• Monitor and report on Insurance Data Hub usage and performance.
• Define and manage access controls, backup, and disaster recovery for the Data Hub.
• Identify and resolve operational issues within data services to minimize service interruptions.
• Drive automation and process standardization to improve efficiency.

Data Architecture and Modelling

• Design and maintain scalable data architectures aligned with IA's data strategy.
• Build and evolve data models to support current and future data requirements.
• Collaborate with internal teams to align data models with business and analytical needs.
• Coordinate with the Data Quality & Monitoring team to enforce standards and ensure data integrity.

Storage Infrastructure Management

• Manage structured and unstructured data storage systems for optimal performance and reliability.
• Collaborate with IT Infrastructure & Operations for hybrid (cloud and on-premises) storage solutions.
• Implement and regularly test backup, rollback, and recovery mechanisms.
• Support Business Continuity by aligning data storage with disaster recovery strategies.

Security & Compliance Integration

• Enforce data security protocols in coordination with Cybersecurity teams.
• Ensure compliance with internal data governance and external regulatory requirements.
• Acquire and manage compliance-related data for monitoring regulatory adherence.
• Collaborate with Insight Generation & Decision Support teams to evaluate and improve compliance outcomes.
• Perform other activities as and when required.

Qualifications and Requirements

Knowledge and Experience :

• 8+ years or more of relevant experience in data engineering, integration, and infrastructure management or any relevant field.
• Previous experience in in data pipeline tools (e.g., Apache Airflow, Talend), storage platforms (e.g., Hadoop, cloud data lakes), and integration technologies (e.g., APIs, ETL frameworks).
• Strong understanding of data governance, security, and regulatory compliance.
• Experience working with hybrid environments (cloud and on-premises).
• Familiarity with disaster recovery, data privacy standards, and metadata management.

Education and Certifications:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Relevant certification is preferred

Job Title

Sr. Engineer, Data Engineering

Section Head, Digitalization Infrastructure

Business Improvement

Operational Excellence

NA

M10

Job Family: Data Engineering

Sub Family: -

Engineer

-

The Sr. Engineer, Data Engineering applies strong expertise in developing, maintaining, and testing robust data infrastructures specifically for its operations. This role is critical for transforming raw operational data into a clean, accessible, and easily analyzable format, and for architecting scalable data solutions that empower data scientists and business stakeholders to derive insights and drive digitalization initiatives within the unit.

Data Architecture Development & Maintenance (Operational Focus):

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems, specifically tailored for the unique data requirements of operational units.
• Ensure the data architecture will robustly support the requirements of data scientists, key stakeholders, and the business objectives for digitalization.
• Develop and improve data set processes for data modeling, data mining, and production environments within the operational context.

Data Reliability, Efficiency & Quality:

• Implement and continuously improve methods to enhance data reliability, efficiency, and quality across all data pipelines.
• Assist with data-related technical issues and provide essential support for data infrastructure needs specific to operational units.

Data Tooling & Enablement:

• Create and optimize data tools for analytics and data scientist team members that assist them in building and optimizing products crucial for achieving business goals and digitalization targets.
• Drive the adoption of best practices in data engineering to support advanced analytics and AI/ML initiatives.

Collaboration & Integration:

• Collaborate closely with the Digitalization - Infrastructure team to ensure seamless integration of data solutions within the broader digital infrastructure.
• Work with data scientists and operational teams to understand data needs and deliver effective data solutions.

Minimum Qualifications:

BSc/MSc in Computer Science, Information Systems or related Technical Discipline

Minimum Experience:

5-7 years of experience in manufacturing industry

Skills:

Deep knowledge of SQL, “Big data” data pipelines, architectures, and data sets, Experience working in AI start-up environment or organizations with an agile culture, Background in programming in Python, Scala, C etc. is beneficial

Anchored in the bustling heart of Riyadh, Saudi Arabia, SMSIT leads the charge in digital innovation, partnering with clients across industries to transcend borders with our dynamic presence. As a leading provider of cutting-edge solutions, we specialize in Cloud Services, Data Solutions, Cyber Security, Modern Workplace and Digital transformation.

Our dedicated team of professionals is passionate about delivering transformative results for our clients, helping them thrive in today’s digital world. With a focus on collaboration, integrity, and continuous improvement, we empower our employees to unleash their full potential and make a meaningful impact.

If you are looking to join a dynamic team and be part of shaping the future of technology, we invite you to explore our current career opportunities and join us on our journey of innovation and growth.

We are looking for an experienced Cloud Security Engineer to lead our efforts in designing, implementing, and maintaining robust security measures for our cloud-based solutions.

The ideal candidate will have a deep understanding of cloud security best practices, compliance requirements, and threat landscape. As a key member of our team, you will play a crucial role in safeguarding our clients’ data, infrastructure, and applications in the cloud.

• Design, implement, and maintain security controls and configurations for cloud environments, including AWS, Azure, or Google Cloud Platform.
• Conduct security assessments, vulnerability scans, and penetration tests to identify and mitigate security risks in cloud infrastructure and applications.
• Develop and implement security policies, standards, and procedures to ensure compliance with industry regulations and best practices.
• Monitor cloud environments for security incidents and respond to security alerts in a timely manner.
• Implement and manage identity and access management (IAM) policies, roles, and permissions in cloud environments.
• Collaborate with development and operations teams to integrate security into the software development lifecycle (SDLC) and DevOps processes.
• Evaluate and recommend security tools and technologies to enhance the security posture of cloud environments.
• Provide security guidance and training to internal teams and clients on cloud security best practices and procedures.

• Bachelor’s degree in computer science, Information Security, or related field. Master’s degree preferred.
• Proven experience as a Cloud Security Engineer, Cloud Security Architect, or similar role, with at least 10 years of experience in cloud security.
• In-depth knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with cloud security frameworks and standards such as CIS, NIST, SOC 2, and GDPR.
• Experience with security assessment tools and techniques, including vulnerability scanners, penetration testing tools, and security information and event management (SIEM) systems.
• Strong understanding of network security, encryption, identity and access management (IAM), and data protection mechanisms in cloud environments.
• Certifications such as Certified Cloud Security Professional (CCSP), AWS Certified Security – Specialty, or Azure Security Engineer Associate are a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Anchored in the bustling heart of Riyadh, Saudi Arabia, SMSIT leads the charge in digital innovation, partnering with clients across industries to transcend borders with our dynamic presence. As a leading provider of cutting-edge solutions, we specialize in Cloud Services, Data Solutions, Cyber Security, Modern Workplace and Digital transformation.

Our dedicated team of professionals is passionate about delivering transformative results for our clients, helping them thrive in today’s digital world. With a focus on collaboration, integrity, and continuous improvement, we empower our employees to unleash their full potential and make a meaningful impact.

If you are looking to join a dynamic team and be part of shaping the future of technology, we invite you to explore our current career opportunities and join us on our journey of innovation and growth.

We are looking for an experienced Cloud Security Engineer to lead our efforts in designing, implementing, and maintaining robust security measures for our cloud-based solutions.

The ideal candidate will have a deep understanding of cloud security best practices, compliance requirements, and threat landscape. As a key member of our team, you will play a crucial role in safeguarding our clients’ data, infrastructure, and applications in the cloud.

• Design, implement, and maintain security controls and configurations for cloud environments, including AWS, Azure, or Google Cloud Platform.
• Conduct security assessments, vulnerability scans, and penetration tests to identify and mitigate security risks in cloud infrastructure and applications.
• Develop and implement security policies, standards, and procedures to ensure compliance with industry regulations and best practices.
• Monitor cloud environments for security incidents and respond to security alerts in a timely manner.
• Implement and manage identity and access management (IAM) policies, roles, and permissions in cloud environments.
• Collaborate with development and operations teams to integrate security into the software development lifecycle (SDLC) and DevOps processes.
• Evaluate and recommend security tools and technologies to enhance the security posture of cloud environments.
• Provide security guidance and training to internal teams and clients on cloud security best practices and procedures.

• Bachelor’s degree in computer science, Information Security, or related field. Master’s degree preferred.
• Proven experience as a Cloud Security Engineer, Cloud Security Architect, or similar role, with at least 10 years of experience in cloud security.
• In-depth knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with cloud security frameworks and standards such as CIS, NIST, SOC 2, and GDPR.
• Experience with security assessment tools and techniques, including vulnerability scanners, penetration testing tools, and security information and event management (SIEM) systems.
• Strong understanding of network security, encryption, identity and access management (IAM), and data protection mechanisms in cloud environments.
• Certifications such as Certified Cloud Security Professional (CCSP), AWS Certified Security – Specialty, or Azure Security Engineer Associate are a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

HUMAIN is seeking a Data Center Engineering Architect to lead the master planning, scalability, and architectural design of AI-enabled data centre facilities, ensuring resilient, sustainable, and future-ready infrastructure optimized for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. The role integrates advanced design practices to deliver facilities capable of supporting GPU/TPU clusters, low-latency interconnects, modular expansions, and advanced cooling systems, enabling the organization to remain at the forefront of AI data infrastructure delivery.

• People Management

• Manage the achievement of objectives by setting individual objectives, managing performance, developing staff, and providing formal and informal feedback to maximize overall performance and engagement.
• Manage and guide multidisciplinary design teams by providing architectural leadership and technical oversight, ensuring that all contributors remain aligned with the organization’s vision for AI-ready infrastructure.
• Mentor junior architects and engineers to develop expertise in AI data centre design, cultivating a culture of continuous learning, innovation, and technical excellence.

• Project Governance and Methodology

• Establish and maintain architectural design frameworks, governance models, and best practices tailored to the requirements of AI and HPC workloads, ensuring designs are scalable, modular, and compliant with international standards.
• Ensure that architectural processes integrate risk management, regulatory compliance, and sustainability objectives while enabling rapid delivery of large-scale AI Data Centre projects.

• Design Execution Oversight

• Lead the development of conceptual and detailed designs for multi-building AI campuses, ensuring that facilities integrate critical systems such as GPU/TPU clusters, advanced cooling solutions, and resilient power networks.
• Validate design deliverables against organizational priorities for resilience, efficiency, sustainability, and scalability to ensure operational excellence in AI infrastructure.
• Oversee the integration of architectural, mechanical, electrical, and IT systems to deliver cohesive and future-ready facilities.

• Reporting

• Develop comprehensive reporting frameworks that provide visibility into architectural progress, risks, and opportunities, with a focus on AI infrastructure readiness and scalability.
• Deliver detailed updates and actionable insights to senior management and stakeholders, supporting data-driven decision-making across the organization.

• Quality Assurance

• Implement and enforce robust QA/QC processes to ensure that architectural deliverables meet the highest standards of quality, resilience, and compliance.
• Conduct structured design reviews and benchmarking exercises, ensuring alignment with global best practices for AI and hyperscale data centre facilities.

• Safety, Quality & Environment

• Integrate environmental responsibility and safety compliance into every design stage, embedding green building standards such as LEED and BREEAM into all architectural projects.
• Balance the performance density of AI workloads with carbon efficiency, water stewardship, and long-term sustainability objectives.
• Research emerging innovations in AI data centre design, including modular construction, liquid cooling, and digital twin simulation, and incorporate them into design processes.
• Drive continuous improvement of systems, tools, and workflows to enhance scalability, cost efficiency, and sustainability across architectural projects.
• Ensure that all architectural workflows align with corporate governance frameworks, risk management standards, and international codes, reducing compliance risk and ensuring operational integrity.

• MIS & Reports

• Prepare timely and accurate reports, blueprints, and technical documents to support AI infrastructure deployment, serving as a critical input for decision-making and stakeholder communication.

• Related Assignments

• Perform other related duties or assignments as directed to support business objectives.

• Bachelor’s degree in architecture, Civil/Structural, or Mechanical/Electrical Engineering (Master’s preferred).
• 12+ years of experience in data centre or critical facility design, with at least 5 years in a leadership role.
• Proven experience designing facilities optimized for AI, HPC, or hyperscale cloud computing workloads.
• Deep expertise in Data Centre Master Planning, critical infrastructure design, and AI-capable system integration.
• Strong understanding of liquid cooling, chip-to-chiller integration, and high-density power distribution.
• Familiarity with sustainability frameworks (LEED, BREEAM) and AI-related regulatory standards.
• Skilled in digital tools such as BIM, Revit, and AI-driven design optimization platforms.

• Mid-Senior level

• Full-time

• Technology, Information and Internet and Engineering Services

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