878 Data Engineer jobs in Saudi Arabia

Job Location

Jeddah

We are currently looking for a Data Engineer to join our team in Jeddah focused on Business Unit specific deliverables. At P&G our IT teams are the enablers of our business. Together we help achieve increased efficiency digitization breakthrough innovation speed to market and better protection against security threats for our users and brands. We are all about applied IT. Use your drive and passion! From Day 1 you will be the manager of your domain and will put your skills and ideas into practice to support develop and improve the IT solutions for our business. Your contributions will make an impact on business results and help shape the direction of your space to take it to the next level.

As a Data Engineer serving Saudi business you will move with the speed of business. Working on priorities that are most important and will deliver most business impact at different points in time. Through this role you will have the opportunity to impact multiple areas of the business :

• Go to Market with Direct Customers and Distributors.
• Retail.
• Product Supply Chain.
• Brand and Digital Marketing.
• Internal Business Planning and Operations.

• Develop business cases within Data & Analytics.
• Build data & analytics solutions in Microsoft Azure Google Cloud or AWS craft technical solutions from approved architecture to acquire process store and provide insights based on the processed data.
• Develop within existing designs of various solutions in Microsoft Azure environment to help the business get valuable insights.
• Work on agile products using cloud solutions.
• Automation : leverage technology for automated data fetching processing aggregation & syndication leading to realtime information flows and democratization of data access
• Lead IT projects in the market liaising with internal teams external partners and strategic vendors ensuring fitforuse solutions and high usage adoption.
• Manage IT operational excellence across solutions and systems (ERP SFA Reporting solutions etc.
• Lead the thinking and own trainings to IT and to other functions including documentation of best practices.

• Undergraduate / Master level qualifications in IT domains
• Proven experience in Python and SQL programming skills
• Experience in Big Data / ETL (Spark and Databricks preferred)
• Experience in implementing projects & solutions in cloud (Azure / GCP preferred AWS)Knowledge and / or experience with using or building CI / CD tools.
• Previous experience or understanding of Data Models.
• Able to access and manipulate data (KNIME DAX and Power BI front end)
• Experience in leading and managing projects (Knowledge of Agile SCRUM and DevOps methodologies preferred)
• Understanding of IT Service Operations Management (ITIL v4 is preferred)
• Knowledge of Privacy and Information security
• Up to 3 years of demonstrated experience in the above fields is preferred.

Full time

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Vacancy 1

• 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.

• 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 (e.g., Hadoop, Spark).
• Strong analytical skills and attention to detail.

Get the future you want!

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where can you make a difference. Where no two days are the same.

We are looking for a passionate and experienced Data Engineer to join our growing team. In this role, you will design, build, and optimize scalable data infrastructure that powers intelligent decision-making across industries. You’ll work with cutting-edge technologies to integrate diverse data sources, build real-time and batch pipelines, and ensure data quality, governance, and performance. You’ll collaborate with cross-functional teams to deliver robust, secure, and high-performance data solutions that drive innovation and business value.

• Design and maintain data pipelines for structured, semi-structured, and unstructured data
• Optimize Apache Spark for distributed processing and scalability
• Manage data lakes and implement Delta Lake for ACID compliance and lineage
• Integrate diverse data sources (APIs, databases, streams, flat files)
• Build real-time streaming pipelines using Apache Kafka
• Automate workflows using Airflow and containerize solutions with Docker
• Leverage cloud platforms (AWS, Azure, GCP) for scalable infrastructure
• Develop ETL workflows to transform raw data into actionable insights
• Ensure compliance with data privacy standards (PII, GDPR, HIPAA)
• Build APIs to serve processed data to downstream systems
• Implement CI/CD pipelines and observability tools (Prometheus, Grafana, Datadog)

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
• 5+ years of experience in data engineering and distributed systems
• Expertise in Apache Spark and Delta Lake
• Hands‑on experience with cloud services (AWS, Azure, GCP)
• Strong skills in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra)
• Proficiency in data formats like Parquet, Avro, JSON, XML
• Experience with Airflow, Docker, and CI/CD pipelines
• Familiarity with data governance and compliance frameworks
• Strong understanding of data quality, lineage, and error handling
• Experience developing data APIs and working with MLOps tools

• Experience with Kubernetes for container orchestration
• Knowledge of data warehouses (Snowflake, Redshift, Synapse)
• Familiarity with real‑time analytics platforms (Flink, Druid, ClickHouse)
• Exposure to machine learning pipelines and IoT data integration
• Understanding of graph databases (Neo4j) and data cataloging tools (Apache Atlas, Alation)
• Experience with data versioning tools like DVC

• Flexible work arrangements including remote options and flexible hours
• Career growth programs and diverse opportunities to help you thrive
• Access to certifications in the latest technologies and platforms

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.

Apply now!

Overview

Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis.

• Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources.
• Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time.
• Implement data quality checks and validation procedures to maintain data integrity.
• Optimize data pipelines for performance and scalability, ensuring efficient data processing.
• Monitor data flow and resolve any issues related to data processing or quality.
• Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team.
• Stay updated on best practices and advancements in data engineering, Talend, and related technologies.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, with a strong focus on Talend.
• Expertise in ETL design and implementation using Talend data integration tools.
• Solid understanding of database management systems, SQL, and data warehousing concepts.
• Experience with data modeling and database design best practices.
• Strong analytical and problem-solving skills, with attention to detail.
• Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus.
• Excellent communication skills for collaborating with cross-functional teams and stakeholders.
• A self-starter with the ability to work independently as well as part of a team.
• Knowledge of data governance and data security practices.

• Why Join Us :
• Opportunity to work with a talented and passionate team.
• Competitive salary and benefits package.
• Exciting projects and innovative work environment.

One of our Client is hiring for the position of Data Engineer in Riyadh

Job Title:Data Engineer

Location: Riyadh

Key Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows

• Integrate multiple data sources, ensuring accuracy and timeliness

• Support analytics and business intelligence teams with clean, optimized data

• Work closely with architects and dev teams to enhance performance and data usability

Minimum Qualifications:

• Bachelors degree in Data Engineering, Computer Science, or related field

• 5+ years of hands-on data engineering experience

• Strong command of ETL frameworks (e.g., Airflow, Talend, Glue)

• Experience with big data tools (e.g., Spark, Hadoop, Kafka)

• Advanced skills in SQL, Python, or Scala

Preferred:

• Prior experience in government or high-compliance environments

• Familiarity with Arabic language or translation workflows

• Cloud certifications (AWS, Azure, GCP)

Job Description

Denodo is always looking for technical, passionate people to join our Customer Success team. We want a professional who will travel, consult, develop, train and troubleshoot to enhance our clients’ journey around Data Virtualization.

Your mission : to help people realize their full potential through accelerated adoption and productive use of Denodo solutions.

In this role, you will successfully employ a combination of high technical expertise and client management skills to conduct on-site and off-site consulting, product implementation, and solutions development in either short or long-term engagements. You will be a critical point of contact for getting things done among Denodo, partners, and client teams.

Job Responsibilities & Duties

• Obtain and maintain strong knowledge of the Denodo Platform, be able to deliver a superb technical pitch, including overview of our key and advanced features and benefits, service offerings, differentiation, and competitive positioning.
• Constantly learn new things and maintain an overview of modern technologies.
• Address technical questions concerning customization, integration, enterprise architecture, and general feature/functionality of our product.
• Build and/or lead the development of custom deployments based on client requirements.
• Provide timely, prioritized, and complete customer feedback to Product Management, Sales, Support, and Development regarding client business cases, requirements, and issues.
• Train and engage clients in the product architecture, configuration, and use of the Denodo Platform.
• Promote knowledge sharing and best practices while managing deliverables and client expectations.
• Manage client expectations, establish credibility at all levels within the client organization, and build problem-solving partnerships with clients, partners, and colleagues.
• Provide technical consulting, training, and support.
• Develop white papers, presentations, training materials, or documentation on related topics.

Desired Skills & Experience

• BS or higher degree in Computer Science or a related field, or equivalent experience in a similar role.
• Several years of demonstrated experience as a Data Engineer or in a similar role, preferably in data management or analytics software industry.
• Solid understanding of SQL and good grasp of relational and analytical database management theory and practice.
• Experience in Java software development, especially in web and database fields.
• Good knowledge of JDBC, XML, and Web Services APIs.
• Excellent verbal and written communication skills to interact with technical and business counterparts.
• Fluent / Native in Arabic and English.
• Active listener.
• Strong analytical and problem-solving abilities.
• Curiosity and eagerness to learn new things.
• Creativity and ability to propose innovative solutions.
• Team player with a positive attitude.

Non-Mandatory Skills (Nice to have)

• Experience with GIT or other version control systems.
• Experience with Big Data and/or NoSQL environments like Hadoop, MongoDB, etc.
• Experience with caching technologies such as JCS.
• Experience with Windows & Linux (and UNIX) server environments.
• Experience in business software implementation and integration projects (e.g., ETL/Data Warehouse architectures, CEP, BPM).
• Experience integrating with packaged applications (e.g., relational databases, SAP, Siebel, Oracle Financials, BI tools).
• Industry experience supporting mission-critical software components.
• Experience attending customer meetings and writing technical documentation.
• Foreign language skills are a plus.

The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.

The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.

Key responsibilities include:

• Designing and implementing ETL processes to move and transform data from various sources.
• Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
• Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
• Ensuring data quality and integrity throughout the data lifecycle.
• Optimizing data storage and retrieval processes for performance and scalability.
• Documenting data flows, transformations, and any changes to data architecture.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a Data Engineer or similar role.
• Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong attention to detail and ability to ensure data accuracy and consistency.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.

This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

3 weeks ago Be among the first 25 applicants

• 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
  
  

• 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
  
  

• 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 (e.g., Hadoop, Spark)
• Strong analytical skills and attention to detail

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.