104 Data Integration jobs in Saudi Arabia

Overview

Company Overview

Elia Grid International (EGI) is a global consultancy company specialized in tackling complex power system challenges. Our multidisciplinary team of experts offers strategic, technical and regulatory advice in all fields related to large power system integration, as well as a range of specialist solutions. We are an international company with offices in Brussels, Berlin, Abu-Dhabi, Riyadh, Kuala Lumpur and Calgary, and we have been successfully delivering projects in over countries worldwide.

Role Summary

We are seeking a highly skilled CIM (Common Information Model) Data Modelling & Data Integration Expert with deep experience in the Electric Utility industry. The ideal candidate will have a strong foundation in IEC CIM standards, data architecture, and system integration, along with proven knowledge of Asset Management processes and practices. You will play a key role in enabling interoperability between enterprise systems (GIS, APM, EAM, ADMS, SCADA, etc.) by defining and managing data models and integration frameworks, aligned with the utility’s asset management and digital transformation strategy.

• Develop and maintain CIM-based data models for transmission, distribution, and generation asset domains using standards such as IEC , IEC , and IEC .
• Lead data integration initiatives between systems such as GIS, EAM (Maximo / SAP), APM platforms, ADMS, SCADA, and data lakes using CIM-based or other semantic data models.
• Design and implement semantic mappings and canonical models to ensure consistent and accurate data exchange between systems.
• Collaborate with asset management teams to understand current and future asset lifecycle management requirements, and ensure data models support use cases such as condition-based maintenance, AHI, risk-based planning, and outage analysis.
• Define and maintain data dictionaries, mapping specifications, and data lineage documentation for enterprise asset data.
• Support ETL / ELT processes, APIs, and real-time data exchange mechanisms as needed for integrating structured and unstructured asset data.
• Advise on data governance, data quality, and master data management practices to ensure asset data integrity across the utility.
• Lead or support workshops with business and IT stakeholders to define requirements and align on CIM data model adaptations / extensions.
• Stay up to date with evolving CIM standards, industry practices, and contribute to internal knowledge sharing.

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Information Systems, or related field.
• years of experience in the Electric Utility sector, with at least years working with CIM standards and data modeling.
• Proven experience in Asset Management processes and systems, such as IBM Maximo, SAP EAM, or similar.
• Hands-on experience integrating systems like GIS (ESRI, Smallworld), APM (IBM, GE, ABB), ADMS, SCADA, and / or data warehouses.
• Strong understanding of power system models, network topology, and asset hierarchies.
• Knowledge of integration frameworks such as ESBs, middleware, or APIs (, MuleSoft, Dell Boomi, Azure Integration Services).
• Familiarity with data governance practices, metadata management, and data quality standards.

Join EGI for more than a job—embrace a career filled with growth and learning opportunities in an exciting, professional international setting. We offer a competitive salary package and comprehensive benefits.

Location

Riyadh

Application Process

Interested candidates should submit their CV in English.

Company Overview

Elia Grid International (EGI) is a global consultancy company specialized in tackling complex power system challenges. Our multidisciplinary team of experts offers strategic, technical and regulatory advice in all fields related to large power system integration, as well as a range of specialist solutions. We are an international company with offices in Brussels, Berlin, Abu-Dhabi, Riyadh, Kuala Lumpur and Calgary, and we have been successfully delivering projects in over 20 countries worldwide.

Role Summary

We are seeking a highly skilled CIM (Common Information Model) Data Modelling & Data Integration Expert with deep experience in the Electric Utility industry. The ideal candidate will have a strong foundation in IEC CIM standards, data architecture, and system integration, along with proven knowledge of Asset Management processes and practices. You will play a key role in enabling interoperability between enterprise systems (GIS, APM, EAM, ADMS, SCADA, etc.) by defining and managing data models and integration frameworks, aligned with the utility’s asset management and digital transformation strategy.

Key Responsibilities

• Develop and maintain CIM-based data models for transmission, distribution, and generation asset domains using standards such as IEC 61970, IEC 61968, and IEC 62325.
• Lead data integration initiatives between systems such as GIS, EAM (Maximo/SAP), APM platforms, ADMS, SCADA, and data lakes using CIM-based or other semantic data models.
• Design and implement semantic mappings and canonical models to ensure consistent and accurate data exchange between systems.
• Collaborate with asset management teams to understand current and future asset lifecycle management requirements, and ensure data models support use cases such as condition-based maintenance, AHI, risk-based planning, and outage analysis.
• Define and maintain data dictionaries, mapping specifications, and data lineage documentation for enterprise asset data.
• Support ETL/ELT processes, APIs, and real-time data exchange mechanisms as needed for integrating structured and unstructured asset data.
• Advise on data governance, data quality, and master data management practices to ensure asset data integrity across the utility.
• Lead or support workshops with business and IT stakeholders to define requirements and align on CIM data model adaptations/extensions.
• Stay up to date with evolving CIM standards, industry practices, and contribute to internal knowledge sharing.

Candidate Profile

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Information Systems, or related field.
• 5+ years of experience in the Electric Utility sector, with at least 3 years working with CIM standards and data modeling.
• Proven experience in Asset Management processes and systems, such as IBM Maximo, SAP EAM, or similar.
• Hands-on experience integrating systems like GIS (ESRI, Smallworld), APM (IBM, GE, ABB), ADMS, SCADA, and/or data warehouses.
• Strong understanding of power system models, network topology, and asset hierarchies.
• Knowledge of integration frameworks such as ESBs, middleware, or APIs (e.g., MuleSoft, Dell Boomi, Azure Integration Services).
• Familiarity with data governance practices, metadata management, and data quality standards.

We Offer

Join EGI for more than a job—embrace a career filled with growth and learning opportunities in an exciting, professional international setting. We offer a competitive salary package and comprehensive benefits.

Location

Riyadh

Application Process

Interested candidates should submit their CV in English.

Overview

Data Engineering Specialist role at Takamol Holding.

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.

• 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

• Entry level

• Full-time

• Engineering and Information Technology

• Business Consulting and Services

Join to apply for the Data Engineering Specialist role at Takamol Holding

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.

Overview

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.

• 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

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

Job Description:

• Assist in data engineering tasks, including data processing, transformation, and integration.
• Contribute to data pipeline development and maintenance activities.
• Collaborate with team members on data-related projects to meet data requirements.
• Support data quality assurance efforts and adhere to data standards.
• Use data engineering tools and techniques to complete assigned tasks.
• Learn from more experienced team members and seek opportunities for skill development.
• Stay informed about emerging data engineering technologies and industry best practices.
• Develop a strong foundation in data engineering fundamentals.

• Bachelor's degree in a relevant field or equivalent combination of education and experience
• Typically, 1+ years of relevant work experience
• Proficiencies in data engineering tools and technologies
• A continuous learner that stays abreast with industry knowledge and technology

• Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plus

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. Weu2019re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.More information on employment scams is available here.

Overview

Analyst II Data Engineering role at DXC Technology.

Join to apply for the Analyst II Data Engineering role at DXC Technology .

Get AI-powered advice on this job and more exclusive features.

• Assist in data engineering tasks, including data processing, transformation, and integration
• Contribute to data pipeline development and maintenance activities
• Collaborate with team members on data-related projects to meet data requirements
• Support data quality assurance efforts and adhere to data standards
• Use data engineering tools and techniques to complete assigned tasks
• Learn from more experienced team members and seek opportunities for skill development
• Stay informed about emerging data engineering technologies and industry best practices
• Develop a strong foundation in data engineering fundamentals

• Bachelor’s degree in a relevant field or equivalent combination of education and experience
• Typically, 1+ years of relevant work experience
• Proficiencies in data engineering tools and technologies
• A continuous learner that stays abreast with industry knowledge and technology

• Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plus

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

• Entry level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Referrals increase your chances of interviewing at DXC Technology by 2x

Sign in to set job alerts for “Engineering Analyst” roles.

Riyadh, Riyadh, Saudi Arabia 48 minutes ago

Senior Associate - Reporting & Analytics

Riyadh, Riyadh, Saudi Arabia SAR12,000.00-SAR17,000.00 1 month ago

External Reporting and Urgent Requests Lead/senior

Senior Data Analytics Development Specialist

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.