742 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.

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Overview

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

Responsibilities

• 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

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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.

Must-Have:

• 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

Nice-to-Have:

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

About Us:
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 enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified by the National Minority Supplier Development Council.

Acknowledgements from Industry Peers:

• 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

Our Seven Pillars:
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 expectations. #J-18808-Ljbffr

**Data Engineering Consultant**

**Location: Riyadh, Saudi Arabia**

**About Accenture**

**Accenture Strategy & Consulting**

In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.
- 5-7 years of Experience working with pure big data technologies:

- Very good understanding of Data Engineering principles and architecture
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Good understanding of Stream processing and CEP
- Strong Unix Shell Scripting & Troubleshooting experience
- Strong Object-Oriented Programming experience e.g. Java or C++ or Python or Scala
- Very good experience in Hortonworks or Cloudera
- Very good knowledge of RDBMS, NoSQL, Time Series and NewSQL
- Strong knowledge of KAFKA, NiFi orELK, Cassandra or Spark
- Design, Create and maintain optimal data pipeline from diverse sources
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.

**Optional but preferred**:

- SQL on Hadoop
- Well versed with Hadoop Security
- Cloud implementation, architecture

**Qualification**
- Bachelor’s degree in Computer Science /Information systems
- Arabic speaking & fluent English is must

**Why join us?**
- We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
- You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
- Flexible work arrangements and a range of benefits including competitive rewards
- You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
- You will also have opportunities to make a difference to the communities in which we work and live

**Next Steps**

If this sounds like the ideal role, career and company for you, click below to apply.

Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube

Overview

Job Description:

Responsibilities

• 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.

Basic Qualifications

• 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

Other Qualifications

• 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.

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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.

Essential Job Functions

• 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

Basic Qualifications

• 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

Other Qualifications

• 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.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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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.

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Qiddiya Investment Company is seeking an innovative and detail-oriented Assistant Manager - Data Engineering to join our dynamic team. In this pivotal role, you will be instrumental in architecting and managing our data solutions, ensuring that our data infrastructure is optimized for performance and accessibility. Your contributions will directly impact our ability to leverage data-driven insights to enhance business operations and strategic decision-making.

Your role will involve collaborating with various stakeholders to design and implement scalable data pipelines, applying best practices in data governance, and providing support for our analytical needs.

Responsibilities

• Build, deploy and maintain data pipelines across multiple environments using Google Cloud services such as BigQuery, Dataflow, Dataproc, and Composer.
• Ensure that the organization's data is accessible, manageable, and analyzable in Google Cloud Platform (GCP).
• Play a crucial role in the integration, transformation, and maintenance of data systems that leverage Google Cloud.
• Implement data collection and ingestion strategies in Google Cloud, ensuring optimal data quality and efficiency.
• Collaborate with teams across the organization on data products and projects; advise on best practices and contribute to technical design decisions.
• Document architecture decisions, implementation details, and operational procedures for future reference and training purposes.
• Assist in planning and executing proof-of-concepts and pilot projects to evaluate new tools or approaches.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience in data engineering or a closely related role.
• Strong proficiency in SQL and programming experience with Python or Java.
• Hands-on experience with data warehousing solutions and ETL tools.
• Familiarity with cloud platforms, particularly AWS, GCP, or Azure.
• Excellent problem-solving skills and ability to work collaboratively with teams.

Benefits

Join Qiddiya's team and enjoy a dynamic work environment that offers growth opportunities, a collaborative culture, and the chance to make a significant impact as our future Playmaker.

Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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Subject Matter Expert (SME) - Data Engineering and Analytics

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.

Position Overview

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.

Responsibilities

• 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.

Requirements

• 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.

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**Introduction**
Technology sales at IBM is evolving it's way of working to break beyond boundaries with innovative approaches. Preferring to 'show' vs. 'tell', Client Engineering co-creates with prospective customers, in real-time, on solutions to their hardest business challenges.

As a Data Scientist within Client Engineering you'll be a key player in a multi-disciplinary team made up of Engineers, Architects, Designers, Developers, and Business Strategists. The brightest minds collaborating with clients as one team, and contributing to experiential working sessions. The outputs of which produce mínimal viable product (MVP), enterprise-scale solutions at lean, start-up speed.

Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped - as you support mínimal viable products (MVPs), and proofs of concept that compel clients to invest in IBM's products and services.

**Your Role and Responsibilities**

We're passionate about success. If this role is right for you, then your achievements will mean that your career is flourishing and our clients are thriving. To help ensure this win-win outcome, a 'day-in-the life' of this opportunity may include, but not be limited to:

- Co-creating Data /AI solutions with client that leverage IBM Data & AI offerings to solve the client's business challenges through a quick Prove of Experience (PoX) delivery. Provide insights to the client business case(s)
- Demonstrating strong business acumen to understand your clients' hardest problems, formulating hypotheses and testing conclusions to influence solution designs.

**Required Technical and Professional Expertise**
- A demonstrable deep understanding of statistics, machine learning and NLP/NLU.
- Provable expertise in identifying data sources, transforming data, and using frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) that contribute to the development of client's ML models.
- Advanced cding skills with Python, R, Scala, Java, C++ and GO.
- Ability t use ETL tools. Good understanding of Data Governance and Data Observability
- Excellent cmmunication skills at all levels with evident comfort in a client-facing role. Able to contribute to the facilitation of experiential problem discovery, framing and solutioning session.

**Preferred Technical and Professional Expertise**
- Deep technical expertise and business domain knowledge to solve client business problems through Data Science.
- Masters, PhD (r equivalent) in a highly quantitative field (Data Science, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- Experience and ability f working across multi clouds (IBM, AWS, GCP and Azure)

**About Business Unit**

Client Engineering within IBM Technology Sales is about proactive initiative, controlled speed and positive impact. Moving fast, we've a bias for action, and an obsession to support our clients overcome their hardest problems through fast-paced and agile co-creative experiences.

In a world where technology moves at speed, it's essential that we stay ahead of the curve to provide tailored solutions from across IBM's whole product suite, that meet our clients' needs. It's not enough for us to know that there are problems in the world. As a multi-disciplinary team of experts we're obligated to make sure they're continually solved. It's an obsession that drives us to help our clients modernize and thrive. Always.

Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

**About IBM**

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

**Location Statement**

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified a