63 Data Integration jobs in Saudi Arabia

This job requires relocation to Saudi Arabia for 12 months.

We are seeking a Data Integration Expert to architect and implement scalable, secure, and robust data platform solutions to support machine learning (ML), business intelligence (BI), and customer value management (CVM) analytics. This role requires deep expertise in data ingestion, ETL pipelines, and on-premise data platforms like Cloudera or Teradata .

• Define and implement scalable architecture for data platforms with a focus on AI and analytics enablement .
• Ensure the platform supports end-to-end ML pipelines , BI dashboards , and CVM analytics .
• Design and maintain reference models for data ingestion, transformation, processing, and access.
• Integrate security, governance , and compliance frameworks (including PDPL and other local regulatory standards).
• Work closely with data scientists, analysts , and IT infrastructure teams to align architecture with business goals.
• Manage and optimize ETL pipelines and ensure data quality, lineage, and metadata management .
• Provide hands-on leadership in setting up, maintaining, and evolving on-premise platforms such as Cloudera or Teradata.

• 6–8 years of experience in building ETL pipelines , data integration , and data platform management .
• Strong understanding of on-premise data ecosystems , preferably Cloudera (Hadoop) or Teradata .
• Proficiency in data ingestion frameworks , data lakes , and batch + real-time data processing .
• Experience in data governance, compliance , and security standards , especially PDPL or similar data privacy laws.
• Strong knowledge of SQL, Spark, Hive , and scripting languages (e.g., Python, Bash).
• Ability to collaborate across cross-functional teams and work independently in a fast-paced environment.

• Experience working in telecom or large-scale enterprise data environments .
• Familiarity with Kafka, NiFi , and data orchestration tools like Airflow .
• Knowledge of DevOps practices , CI/CD pipelines , and containerization (Docker/Kubernetes) is a plus.

MDM and Data Integration expert - Hybrid Project - Saudi Arabia - 12 months (expenses paid)

MDM ENGINEER (Healthcare) Type: Full-time, 1-year contract (This is a remote position with mandatory business trips to Saudi Arabia)

Are you passionate about Master Data Management (MDM) and its role in transforming healthcare? Join our innovative team to build cutting-edge solutions that redefine the future of health data. We are looking for a MDM Engineer who thrives on solving complex problems, loves working with data, and is eager to make a real-world impact in the healthcare domain.

1. Understanding of MDM processes
2. Collaborate with cross-functional teams to integrate data from various sources, ensuring consistency and accuracy.
3. Optimize MDM processes to improve data quality, governance, and security.
4. Ensure compliance with healthcare regulations (e.g., HIPAA, GDPR) for sensitive data management.
5. Troubleshoot and resolve data integration and performance issues.
6. Monitor and improve MDM systems to meet business and technical needs.
7. Design, develop, and maintain scalable MDM solutions tailored to healthcare applications.

1. Must skill: 3+ years of hands-on experience with MDM tools (e.g., Informatica MDM, Reltio, Profisee, IBM InfoSphere).
2. Must skill: Strong understanding of data modeling, data integration, and ETL processes.
3. Experience working with healthcare data (e.g., FHIR, HL7, EHR systems).
4. Scripting languages: Python, SQL
5. Solid knowledge of data governance and compliance in healthcare.
6. Familiarity with cloud platforms and data pipelines.
7. Excellent problem-solving skills and attention to detail.
8. Strong communication and teamwork skills.
9. English - Upper intermediate, Arabic - Advanced.
10. Flexible for travel to Saudi Arabia.

1. Competitive salary rate depending on your experience and skills
2. Challenging tasks and ability to improve professional knowledge and skills.
3. A team where your feedback is appreciated
4. Covered vacation of 24 working days and 5 days of sick leaves
5. Business trips to Saudi Arabia
6. Regular performance reviews
7. Opportunities for professional development, including partial or full coverage of educational courses and training programs (approved by HR department)

1. Impact: Your work will directly contribute to improving healthcare systems and saving lives.
2. Innovation: Be part of a team that pushes the boundaries of data management in healthcare.
3. Connection: Join a company where collaboration and teamwork are key.

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

• 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

• 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 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

• 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

• 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 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.

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

Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you'll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra)
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google's BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses
  
  

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery)
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
• Degree in Computer Science, IT, or similar field; a Master's is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google’s BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation.
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Degree in Computer Science, IT, or similar field; a Master’s is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus

Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods

• Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
• Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
• Building distributed systems and data stores
• Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
• Configuration of Google Cloud Platform services
• Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
• Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
• Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
• Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
• Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
• Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
• Solid knowledge of Google’s BigQuery for effective data processing
• Proposing and implementing repetitive tasks automation.
• Providing support for development teams in deployment-related topics.
• Modernizing data lakes and data warehouses

• 3 - 6 of years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
• Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
• Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Degree in Computer Science, IT, or similar field; a Master’s is a plus.
• Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus