179 Big Data Technologies jobs in Saudi Arabia

Overview

Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the Job requirements below. Your immediate application will enable us to place you successfully.

• 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

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 enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

• 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 of 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.

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 anticipation.

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.

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

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

Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the Job requirements below. Your immediate application will enable us to place you successfully.

• 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

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 enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

• 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 of 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.

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 anticipation.

Job Purpose :

• The Manager of Data Engineering & Storage will help lead the design, development, and optimization of data pipelines, integration strategies, and storage infrastructure to support the Insurance Authority's data-driven objectives. The role ensures that data is ingested, processed, and stored securely and efficiently to serve analytical, operational, and regulatory needs.

Key Responsibilities and Activities

Operations Management:

Implement the policies, regulations, procedures, and controls so that all relevant procedural/ legislative requirements are met while delivering high-quality and cost-effective results.

Data Engineering & Storage :

Data Pipeline & Storage Development

• Design and optimize scalable data pipelines for real-time and batch processing.
• Ensure seamless data ingestion, transformation, and delivery from internal and external sources.
• Enhance automation and monitoring capabilities to reduce disruptions and optimize performance.
• Support regulatory data processing requirements and business analytics workflows.

Data Integration and Sharing

• Develop and implement data integration strategies for unifying data across systems and departments.
• Standardize data interoperability through APIs and common formats.
• Manage secure data-sharing processes within IA and with external stakeholders.
• Monitor integration workflows to ensure high performance and compliance.

Data Operations Management

• Oversee daily operations of data systems ensuring high availability and reliability.
• Monitor and report on Insurance Data Hub usage and performance.
• Define and manage access controls, backup, and disaster recovery for the Data Hub.
• Identify and resolve operational issues within data services to minimize service interruptions.
• Drive automation and process standardization to improve efficiency.

Data Architecture and Modelling

• Design and maintain scalable data architectures aligned with IA's data strategy.
• Build and evolve data models to support current and future data requirements.
• Collaborate with internal teams to align data models with business and analytical needs.
• Coordinate with the Data Quality & Monitoring team to enforce standards and ensure data integrity.

Storage Infrastructure Management

• Manage structured and unstructured data storage systems for optimal performance and reliability.
• Collaborate with IT Infrastructure & Operations for hybrid (cloud and on-premises) storage solutions.
• Implement and regularly test backup, rollback, and recovery mechanisms.
• Support Business Continuity by aligning data storage with disaster recovery strategies.

Security & Compliance Integration

• Enforce data security protocols in coordination with Cybersecurity teams.
• Ensure compliance with internal data governance and external regulatory requirements.
• Acquire and manage compliance-related data for monitoring regulatory adherence.
• Collaborate with Insight Generation & Decision Support teams to evaluate and improve compliance outcomes.
• Perform other activities as and when required.

Qualifications and Requirements

Knowledge and Experience :

• 8+ years or more of relevant experience in data engineering, integration, and infrastructure management or any relevant field.
• Previous experience in in data pipeline tools (e.g., Apache Airflow, Talend), storage platforms (e.g., Hadoop, cloud data lakes), and integration technologies (e.g., APIs, ETL frameworks).
• Strong understanding of data governance, security, and regulatory compliance.
• Experience working with hybrid environments (cloud and on-premises).
• Familiarity with disaster recovery, data privacy standards, and metadata management.

Education and Certifications:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Relevant certification is preferred

About Mozn
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role
We are seeking a
*Data Science Manager *
to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You'll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What You'll Do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.

Benefits
*Why Mozn? *

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Company Description

is a Saudi-based company at the forefront of the healthcare technology sector, specializing in advanced artificial intelligence. Our mission is to revolutionize healthcare by transforming standard Hospital Information Systems (HIS) and Electronic Health Records (EHR) into dynamic, intelligent systems. We provide real-time, evidence-based clinical support to align with the healthcare goals of Saudi Arabia's Vision 2030, enhancing patient outcomes and supporting medical professionals.

Role Description

This is a full-time online role for a Data Science Specialist located in Jeddah. The Data Science Specialist will be responsible for analyzing large datasets, developing statistical models, conducting data analysis, and utilizing data science techniques to extract insights. Day-to-day tasks include data analytics, developing data-driven solutions to improve patient outcomes, and collaborating with cross-functional teams to implement AI-driven healthcare solutions.

Qualifications

• Analytical Skills and Data Analysis skills
• Expertise in Data Science and Data Analytics
• Strong Statistics knowledge
• Proficient in programming languages such as Python or R
• Experience with machine learning algorithms and data visualization tools
• Excellent problem-solving and communication skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the healthcare industry is a plus

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.

HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments, HALA Cashier and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.

Founded in 2017, HALA is currently duly licensed by the Saudi Arabian Central Bank as well as the Financial Services Regulatory Authority (FSRA) in Abu Dhabi Global Market.

We’re hiring a Data Scientist with 1-2 years of experience to help shape the future of AI and ML at HALA. You’ll be working closely with leadership to define the roadmap, uncover high-impact use cases, and develop models that drive real business value.

This role is ideal for someone who enjoys the challenge of building from the ground up—bringing structure, experimentation, and vision to a space full of potential.

• Support and Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale : Propose, design, build, and deploy ML models that bring value to HALA, starting with rapid prototyping and scaling up based on impact
• Cross-Functional Collaboration : Work hand-in-hand with teams across the company to deeply understand their challenges and co-create solutions that leverage data

• Strong Python and SQL skills, and experience with ML libraries like scikit-learn, XGBoost, LightGBM, or similar
• A strategic mindset: you’re comfortable identifying business opportunities, prioritizing impact, and navigating ambiguity
• Clear communication and storytelling skills. You can turn data into action and rally teams around your ideas
• Experience (or interest) in working on use cases like credit scoring, fraud detection, or customer lifecycle modeling is a big plus
• Willingness to keep an open mind and learn on the job

You’ll be joining a leading FinTech that’s growing quickly—and we believe data will play a critical role in that growth. As an early member of the data science team, you’ll have the autonomy to explore, the support to execute, and the opportunity to shape how machine learning creates value across the organization.

We believe you will love working at HALA!

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
• We offer highly competitive compensation packages, including the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

If you think you have what it takes to join a remarkable team #apply_now

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• Leadership experience and related examples
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