وظائف مهندس بيانات في السعودية

Join Huxley as a Senior Data Engineer in Dhahran, Saudi Arabia!
We are seeking a talented Senior Data Engineer for an initial 6-month contract. This role requires a strong understanding of data engineering principles, particularly in AI and machine learning environments.

Responsibilities:

• Understand machine learning model requirements for data preparation and feature engineering.
• Implement data pipelines and workflows using tools like Apache Airflow, Luigi, or similar technologies.
• Design and implement data architectures to support high-performance data processing.
• Collaborate closely with data scientists and software developers.
• Explore new tools and technologies to enhance data infrastructure.

Skills/Experience Required:

• Bachelor's degree in Computer Science, Data Science, or a related field with an emphasis on data engineering.
• Proven experience in data engineering within AI/ML environments.
• Proficiency in Python, with knowledge of other relevant programming languages.
• Experience with big data processing frameworks.
• Strong background in AI technologies.

If you meet these qualifications, we would love to hear from you!

About the Job
We are looking for a Mid Level Junior Data Engineer with solid fundamentals and hands-on experience in building and supporting data pipelines. This role is suitable for someone who has moved beyond entry level and can be relied on for execution, while still growing under the guidance of senior engineers.

Key Responsibilities:

• Build and maintain ETL/ELT data pipelines under defined architectures.
• Ingest data from databases, APIs, and flat files.
• Develop and maintain data warehouse tables and basic dimensional models.
• Write and optimize SQL queries for analytics and reporting.
• Implement data validation and quality checks.
• Monitor pipelines, troubleshoot issues, and resolve common failures.
• Support batch and scheduled data processing jobs.
• Document data pipelines, schemas, and data flows.
• Collaborate with Data Analysts, Integration, and Business teams.

Required Skills & Experience:

• 2–4 years of hands-on experience in Data Engineering or related roles.
• Strong SQL skills (joins, aggregations, subqueries).
• Good working knowledge of Python.
• Practical experience with ETL/ELT tools (Airflow, NiFi, or similar).
• Understanding of data warehousing and dimensional modeling basics.
• Experience supporting production data pipelines.

Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Data Engineer

We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing and implementing highly available Business Intelligence solutions, as well as Big Data and Integration systems using a variety of technologies.

Responsibilities:

• Design and implement Business Intelligence solutions, Big Data and Integration systems using SSIS and SSRS.
• Debug, monitor, and troubleshoot BI solutions.
• Create and deploy reports.
• Write relational and multidimensional database queries.
• Modify databases and products according to client needs.
• Create functional requirements.
• Design and develop database architectures.
• Use and implement Data Warehouse tools and concepts.
• Create development standards that comply with enterprise architecture guidelines.
• Extract data from multiple structured and unstructured data sources.
• Develop robust and presentable big data visualizations.

Requirements:

• 3+ years' experience with ETL tools such as DTS, SSIS (SSIS Preferred) and SSAS.
• Experience in using data visualization tools (Power-BI, Tableau, AWS Quick Sight, etc.).
• 3+ years' experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS.
• 3+ years’ experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
• Bachelor’s degree in MIS, Computer Science, or related field, or equivalent combination of education and experience.

Join Norconsult Telematics as a Data Visualization & Automation Engineer!
We are seeking a skilled engineer to deliver high-quality data visualizations, well-structured reports, and automated reporting solutions to enhance operational and strategic decision-making.

Position Objectives:
- Transform complex datasets into intuitive dashboards.
- Design and automate recurring and executive reports.
- Improve data accuracy and ensure timely availability of insights to stakeholders.

Key Responsibilities:

• Design, develop, and maintain Power BI, Tableau, and web-based dashboards to provide actionable insights.
• Automate standard and executive reporting processes to increase efficiency and accuracy.
• Collaborate with stakeholders to understand reporting requirements and translate them into effective dashboards.
• Apply UX principles to ensure dashboards are user-friendly and visually compelling.
• Utilize ETL processes and data integration techniques for data preparation.
• Develop scripts or workflows using Python for data manipulation and advanced analytics.
• Incorporate advanced analytics to enhance reporting capabilities.
• Continuously monitor, validate, and improve the quality and performance of dashboards.
• Document reporting processes and data sources for maintainability.

General Duties:
- Report daily to the Senior Manager on performance management and operational metrics.
- Ensure performance management requirements are met during the handover from network delivery to operations.
- Contribute to meetings and workshops on performance management and reporting.
- Maintain accuracy and consistency of data in reports and dashboards.
- Collaborate with stakeholders to align reporting with operational goals.

Qualifications:
- Bachelor's degree in computer science, telecommunications, or engineering.
- 5 years of professional experience in performance management and reporting design.
- Strong experience with Power BI and report automation.
- Proficient in Python and ETL processes.
- Excellent analytical and communication skills.

Join HALA as a Senior Data Engineer!
HALA is a leading fintech player in the MENAP region, focusing on redefining financial services for SMEs. We empower businesses with innovative financial tools and solutions. As a Senior Data Engineer, you will be at the forefront of our data infrastructure, contributing to cutting-edge analytics and real-time intelligence.

Role Overview: We are looking for a highly skilled Senior Data Engineer who will design, build, and optimize large-scale data infrastructure. Your responsibilities will include:

• Architecting and maintaining real-time data pipelines using Apache Kafka and other technologies.
• Implementing efficient change data capture (CDC) pipelines.
• Developing and automating ETL/ELT workflows.
• Administering and optimizing large-scale Oracle databases for analytical workloads.
• Ensuring compliance with data governance and security standards.
• Partnering with analytics teams to understand business requirements.

What We Offer:
HALA offers a diverse culture with competitive compensation packages and growth opportunities. We emphasize personal development through regular training and mentorship. Work in an innovative environment that values autonomy and responsibility.

If you're ready to make an impact with us, we encourage you to apply now!

Join Halian as a Data Engineer!
We are a global technology and digital solutions organization focused on delivering large-scale data, cloud, and AI-powered transformation services. We are currently seeking a skilled Data Engineer to support a major Generative AI initiative through robust data architecture and high-performance pipelines.

Responsibilities:

• Build and maintain data lakes, warehouses, and feature stores optimized for AI and GenAI workloads.
• Design and implement scalable data pipelines, ETL workflows, and real-time processing systems.
• Develop data models and ensure efficient data preparation for machine learning and feature engineering.
• Collaborate with data scientists, ML engineers, and software teams to understand data requirements and deliver aligned solutions.
• Utilize programming languages and big data frameworks for large-scale data processing and infrastructure.
• Maintain high-quality data architecture to support performance, scalability, and evolving AI product needs.

Qualifications And Skills:

• Proven data engineering experience, preferably in AI/ML or GenAI environments.
• Strong proficiency in Python and familiarity with Scala or Java.
• Knowledge of SQL, NoSQL databases, data modeling, and data warehousing practices.
• Experience with data pipeline tools, big data ecosystems, and MLOps practices.
• Strong problem-solving skills and collaborative mindset.
• Bachelor’s degree in computer science, data science, IT, or a related field focused on data engineering or big data systems.

Why Halian? With nearly 30 years of expertise across the Middle East, Europe, and the US, Halian is dedicated to shaping the future of Workforce Management and Managed Services. We are committed to diversity, equity, and inclusion, ensuring all individuals feel valued and empowered. Join us in driving innovation and fostering collaboration!

Join DXC Technology as a Data Engineer!

At DXC Technology, we prioritize strong connections and community dynamics as key components of our success. Our work model aims to foster in-person collaborations, while still offering the flexibility necessary to support well-being, productivity, individual work styles, and different life circumstances. We are dedicated to creating an inclusive environment where everyone can succeed.

Role Overview:
As a Data Engineer, your role will be pivotal in building and maintaining robust data pipelines and integration processes. You will support data quality checks and help in investigating and resolving data issues, working closely with business teams to cater to their data needs and deliver effective solutions.

Key Responsibilities:

• Assist in building and maintaining data pipelines and integration processes.
• Support data quality checks and resolve data issues.
• Utilize data catalogs and metadata tools for easier data accessibility.
• Document data flows and maintain up-to-date records.
• Learn about and apply data governance practices, including privacy and compliance requirements.
• Explore new tools, technologies, and best practices in data management.

Requirements:

• A recent graduate in Computer Engineering, Computer Science, Information Systems, or a related field.
• Basic understanding of databases with experience in SQL and familiarity with relational databases.
• Some exposure to data concepts such as ETL, data warehouses, or data modeling.
• Strong problem-solving skills and a willingness to tackle technical challenges.
• Good communication skills to interact with technical and non-technical teams.
• Eagerness to learn and grow within the role.
• Exposure to cloud platforms (AWS, Azure, Google Cloud).
• Familiarity with data tools like Power BI, Tableau, Informatica, or Talend.
• A basic understanding of data governance or data privacy concepts.

We do not expect you to come with all the answers, but we do require curiosity and the initiative to learn. Be part of a team that is shaping the future of technology!

Join SGS - Saudi Ground Services as a Data Engineer! We are seeking a dedicated professional to support our Enterprise Architecture planning and governance in alignment with IT strategy and business objectives.

Key Responsibilities:

• Design, build, and maintain scalable data architectures and pipelines.
• Perform database administration to ensure data quality, integrity, security, performance, and availability.
• Contribute to architecture roadmaps, solution compliance, application, and data platform optimization.
• Assist in cross-functional technology implementation to enable efficient, cost-effective IT delivery.

About SGS: Saudi Ground Services is committed to providing high standards in ground-handling for passengers and aircraft across all 28 airports in the Kingdom. Join us in delivering exceptional service to over 88 million passengers annually.

About the Job
We are looking for a Mid Level Junior Data Engineer with solid fundamentals and hands-on experience in building and supporting data pipelines. This role is suitable for someone who has moved beyond entry level and can be relied on for execution, while still growing under the guidance of senior engineers.

Key Responsibilities:

• Build and maintain ETL/ELT data pipelines under defined architectures.
• Ingest data from databases, APIs, and flat files.
• Develop and maintain data warehouse tables and basic dimensional models.
• Write and optimize SQL queries for analytics and reporting.
• Implement data validation and quality checks.
• Monitor pipelines, troubleshoot issues, and resolve common failures.
• Support batch and scheduled data processing jobs.
• Document data pipelines, schemas, and data flows.
• Collaborate with Data Analysts, Integration, and Business teams.

Required Skills & Experience:

• 2–4 years of hands-on experience in Data Engineering or related roles.
• Strong SQL skills (joins, aggregations, subqueries).
• Good working knowledge of Python.
• Practical experience with ETL/ELT tools (Airflow, NiFi, or similar).
• Understanding of data warehousing and dimensional modeling basics.
• Experience supporting production data pipelines.

Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Join TMC Middle East as a Data Engineer!

TMC Middle East is seeking a skilled Data Engineer for an exciting project with a Government Entity in Riyadh. This role offers the opportunity to work on innovative data solutions in a collaborative environment.

About the Role:
As a Data Engineer, you will:

• Design and build Data Architectures, Data Warehouses, and Data Lakehouses.
• Utilize various data warehousing tools to build and manage ETL/ELT pipelines.
• Work with data orchestration tools including Airflow, DBT, and Prefect.
• Perform data cleaning, validation, and quality assurance.
• Handle both relational and non-relational databases.
• Implement logical & physical models, and dimensional modeling using the Kimball methodology.
• Engage in advanced SQL tasks including query optimization and storage optimization.
• Monitor data pipelines using tools like Grafana and Prometheus.
• Utilize Google Cloud Storage for data staging and organization.
• Work with big data technologies such as Hadoop, Spark, and Kafka.
• Automate data pipelines and reporting, collaborating with analytics and AI teams to ensure data security and compliance with regulatory standards.

Requirements:
To be successful in this role, you should have:

• At least 7 years of experience in a Data Engineer role.
• A transferable iqama and immediate availability.

About TMC:
TMC Middle East emphasizes innovation and technology in providing tailored solutions for diverse clients. Our team consists of entrepreneurial technologists dedicated to pushing the boundaries of what's possible. Join a thriving environment where you can meet like-minded professionals and elevate your career through our unique Employeneurship philosophy.

Join Devoteam as a Data Engineer! Our commitment at Devoteam is to harness technology to drive positive change in the world. With over 25 years of experience and a presence across 18+ countries, we pride ourselves on our innovative and human-centric approach to technology.

About The Role: As a Data Engineer, you will play a crucial role in developing, monitoring, and optimizing data quality processes essential for reliable enterprise data. This includes identifying and resolving data anomalies, ensuring business decisions are based on high-integrity data.

Key Responsibilities:

• Design and maintain data quality frameworks.
• Collaborate with teams for consistent data quality standards.
• Conduct data profiling and validation.
• Develop automated data quality checks.
• Document data quality rules and actions.
• Lead design and deployment of scalable solutions.
• Participate in compliance with local data management regulations.

Qualifications:

• Bachelor's or Master's degree in Computer Science or related fields.
• 5+ years of experience in Data Engineering or related roles.
• Strong expertise in DQ tools and proficiency in SQL and scripting (Python, Shell, or Scala).
• Excellent communication skills.

Join our team! If you are passionate about technology and looking for a place to turn your ideas into reality, we would love to hear from you.

Join Artefact as a Data Engineer
Artefact is a new generation of data service providers specializing in data consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organizations, and we enjoy skyrocketing growth.

Role Overview
As a Data Engineer, you will be responsible for crafting and maintaining robust data pipelines, utilizing Python and SQL to ensure efficient extraction, transformation, and loading (ETL) of data.

Key Responsibilities

• Data Pipeline Development: Build and optimize data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Manage databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leverage cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborate with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilizing Spark & Kafka: Implement and work with Spark and Kafka for real-time data processing and analytics.

Desired Qualifications

• 2-5 years of experience in Data Engineering.
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills with a solution-oriented mindset.
• Excellent communication skills for effective collaboration within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• A minimum of a bachelor's degree in Computer Science, Electronics, or Communication Engineering.

At Artefact, you will be part of a passionate team that believes innovation can come from anyone. Come and help us build the future of data and AI.

About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in critical domains, including Financial Crime Prevention and Enterprise Knowledge Intelligence. We foster a diverse and collaborative team, united by a commitment to build AI that delivers tangible business value and empowers organizations with augmented intelligence.

About The Role
We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data architectures and pipelines. This role is integral in delivering high-quality consultation services to public and private sector clients, ensuring compliance, reliability, and business value from data assets.

What You'll Do

• Architect, develop, and maintain large-scale data pipelines and integration workflows
• Ensure high data quality, consistency, and security across multiple environments
• Collaborate with data scientists, business stakeholders, and IT teams to deliver reliable solutions
• Lead data migration, transformation, and optimization projects for clients in government and enterprise sectors
• Evaluate and implement modern data frameworks, tools, and cloud/on-prem technologies
• Provide guidance and mentorship to junior data engineers and consultants

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• 4+ years of hands-on experience in data engineering and data architecture
• Strong expertise in SQL, Python, Spark, Hadoop, Airflow, and ETL/ELT frameworks
• Experience with cloud platforms (AWS, GCP, OCI, Azure) and on-premises environments
• Knowledge of data governance, compliance (*, PDPL), and metadata management

Benefits

• Competitive compensation and top-tier health insurance
• Autonomy and responsibility to drive your own projects
• Fun and dynamic workplace with some of the best minds in AI
• Embracing diversity and empowering individuals to be their best selves

Join Our Team as a Data Engineer!
We are seeking a talented and dedicated Data Engineer to develop and maintain robust data architectures that support our business needs. This is a fantastic opportunity for seasoned professionals looking to make a meaningful impact in our organization.

Key Responsibilities:

• Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
• Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
• Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
• Optimize data storage and access strategies for improved performance and efficiency.
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
• Create comprehensive documentation for data workflows and system architecture.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or related roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
• Familiarity with data warehousing solutions and big data technologies (*, Hadoop, Spark).
• Strong analytical skills and attention to detail.

We encourage all qualified candidates to apply for this position.

Join Norconsult Telematics as a Data Visualization & Automation Engineer!
We are seeking a skilled engineer to deliver high-quality data visualizations, well-structured reports, and automated reporting solutions to enhance operational and strategic decision-making.

Position Objectives:
- Transform complex datasets into intuitive dashboards.
- Design and automate recurring and executive reports.
- Improve data accuracy and ensure timely availability of insights to stakeholders.

Key Responsibilities:

• Design, develop, and maintain Power BI, Tableau, and web-based dashboards to provide actionable insights.
• Automate standard and executive reporting processes to increase efficiency and accuracy.
• Collaborate with stakeholders to understand reporting requirements and translate them into effective dashboards.
• Apply UX principles to ensure dashboards are user-friendly and visually compelling.
• Utilize ETL processes and data integration techniques for data preparation.
• Develop scripts or workflows using Python for data manipulation and advanced analytics.
• Incorporate advanced analytics to enhance reporting capabilities.
• Continuously monitor, validate, and improve the quality and performance of dashboards.
• Document reporting processes and data sources for maintainability.

General Duties:
- Report daily to the Senior Manager on performance management and operational metrics.
- Ensure performance management requirements are met during the handover from network delivery to operations.
- Contribute to meetings and workshops on performance management and reporting.
- Maintain accuracy and consistency of data in reports and dashboards.
- Collaborate with stakeholders to align reporting with operational goals.

Qualifications:
- Bachelor's degree in computer science, telecommunications, or engineering.
- 5 years of professional experience in performance management and reporting design.
- Strong experience with Power BI and report automation.
- Proficient in Python and ETL processes.
- Excellent analytical and communication skills.

Join HALA as a Senior Data Engineer!
HALA is a leading fintech player in the MENAP region, focusing on redefining financial services for SMEs. We empower businesses with innovative financial tools and solutions. As a Senior Data Engineer, you will be at the forefront of our data infrastructure, contributing to cutting-edge analytics and real-time intelligence.

Role Overview: We are looking for a highly skilled Senior Data Engineer who will design, build, and optimize large-scale data infrastructure. Your responsibilities will include:

• Architecting and maintaining real-time data pipelines using Apache Kafka and other technologies.
• Implementing efficient change data capture (CDC) pipelines.
• Developing and automating ETL/ELT workflows.
• Administering and optimizing large-scale Oracle databases for analytical workloads.
• Ensuring compliance with data governance and security standards.
• Partnering with analytics teams to understand business requirements.

What We Offer:
HALA offers a diverse culture with competitive compensation packages and growth opportunities. We emphasize personal development through regular training and mentorship. Work in an innovative environment that values autonomy and responsibility.

If you're ready to make an impact with us, we encourage you to apply now!

Join Halian as a Data Engineer!
We are a global technology and digital solutions organization focused on delivering large-scale data, cloud, and AI-powered transformation services. We are currently seeking a skilled Data Engineer to support a major Generative AI initiative through robust data architecture and high-performance pipelines.

Responsibilities:

• Build and maintain data lakes, warehouses, and feature stores optimized for AI and GenAI workloads.
• Design and implement scalable data pipelines, ETL workflows, and real-time processing systems.
• Develop data models and ensure efficient data preparation for machine learning and feature engineering.
• Collaborate with data scientists, ML engineers, and software teams to understand data requirements and deliver aligned solutions.
• Utilize programming languages and big data frameworks for large-scale data processing and infrastructure.
• Maintain high-quality data architecture to support performance, scalability, and evolving AI product needs.

Qualifications And Skills:

• Proven data engineering experience, preferably in AI/ML or GenAI environments.
• Strong proficiency in Python and familiarity with Scala or Java.
• Knowledge of SQL, NoSQL databases, data modeling, and data warehousing practices.
• Experience with data pipeline tools, big data ecosystems, and MLOps practices.
• Strong problem-solving skills and collaborative mindset.
• Bachelor’s degree in computer science, data science, IT, or a related field focused on data engineering or big data systems.

Why Halian? With nearly 30 years of expertise across the Middle East, Europe, and the US, Halian is dedicated to shaping the future of Workforce Management and Managed Services. We are committed to diversity, equity, and inclusion, ensuring all individuals feel valued and empowered. Join us in driving innovation and fostering collaboration!