387 Big Data Technologies jobs in Saudi Arabia

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

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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Qiddiya Investment Company is seeking a talented Assistant Manager - Data Engineering to enhance our data capabilities and support our strategic goals. In this role, you will have the opportunity to lead initiatives focused on building scalable data solutions and leveraging cutting-edge technologies to drive data-driven decision making.

Your expertise will be crucial in developing and maintaining data pipelines, ensuring high data integrity, and collaborating with cross-functional teams to implement advanced analytics and reporting solutions.

Key Responsibilities

• Develop and maintain comprehensive data models (conceptual, logical, and physical) aligned with business needs.
• Collaborate with Data Science teams to identify future data requirements and support advanced analytics initiatives.
• Establish and implement processes and procedures to ensure high-quality service delivery and business continuity.
• Define and enforce data architecture standards, principles, and best practices to support organizational goals.
• Lead the design, development, and maintenance of data pipelines, ETL processes, and integration frameworks.
• Work with cross-functional teams to gather data requirements and build effective, scalable data solutions.
• Oversee data platform operations, including monitoring, troubleshooting, and performance tuning.
• Implement robust data security, access controls, and ensure compliance with data privacy regulations.
• Continuously evaluate and integrate emerging technologies and tools to enhance data engineering practices.
• Collaborate with IT teams to ensure seamless integration of data platforms with enterprise applications and systems.
• Partner with the Data Governance & Quality division to embed governance standards across data platforms.
• Act as a subject-matter expert to provide technical guidance and support to internal stakeholders.
• optimization of cloud applications, and expertise in cloud security, virtualization, and migration strategies.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 5+ years Experince as a Data Architect or Data Engineering Lead overseeing data design and architecture.
• In-depth understanding of database structure principles, data mining, and segmentation techniques.
• Certification in relevant technologies or architecture frameworks is a plus.
• Strong proficiency in SQL, Python, and modern data engineering tools and frameworks.
• Experience with cloud data platforms (e.g., AWS, Azure, GCP) and orchestration tools.
• Solid understanding of data governance, data quality, and data security best practices.

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 !

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As a Data Engineering Team Leader, you will play the role of data ownership on behalf of the business (this includes representing the voice of the business division in the executive governance committee).

Ensure data stewardship is provided following the enterprise data management asset model and lead the data initiatives at the divisional level and represent the bank business divisions. Understand the business division strategies and participate in bank data-related strategies, e.g. enterprise data as assets strategy and information management strategy.

Play the role of liaison between business areas and the other data management sections. Ensure policies and standards are effectively implemented for data sources related to the assigned division.

**Responsibilities**:

- Assist in the development and execution of the Data Stewardship policies, procedures and controls for all sources of the data
- Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures
- Manage the data stewardship at divisional level and provide a single contact / point to business of that division for their data.
- Liaise with business areas to ensure their interests and requirements are considered.
- Represents assigned business area for matters related to data, e.g. data requirements, data provisions
- Represents business units in the Enterprise Data Governance Committee
- Promote standards and consistent view of business data
- Educate the Business Unit about the importance of Data & Information in driving the business
- Supervise relationships with data consumers
- Direct & guide the subordinates on how to play the role of Enterprise Data Steward on all levels
- Manages the effective achievement of Enterprise Data Steward Unit objectives through the leadership of the Enterprise Data Steward
- Unitsetting individual objectives, recruiting qualified staff, managing performance, developing and motivating staff, provision of formal and informal feedback and appraisal in order to maximise subordinate and division performance
- Assesses the impact of introduced changes to people, process and systems and develops relevant communication and awareness initiatives to support the effective implementation of change
- Represents the function and actively contributes in various committees/meetings (internal and external) as applicable and per authority levels in order to ensure relevant matters are dealt with in a timely and efficient manner
- Contributes to the identification of opportunities for continuous improvement of processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction and productivity improvement
- Assists in the preparation of timely and accurate reports to meet company and department requirements, policies and standards

**Requirements**:

- Bachelor’s degree in Information Management Systems or Computer Science with preferably Master’s degree in MIS Minimum Experience
- 6-8 years of relevant experience in Data & Information Management in banking responsibilities
- 4-6 years experience in management in general
- English: Advanced

**Technical knowledge areas**:

- Understanding of the bank’s strategy, objectives
- Ability to effectively present information to top management
- In-depth project management knowledge
- In-depth knowledge of the bank’s regulations

**What we offer**:
**Global Presence, Local Impact**

Imagine yourself working **in Qatar or Saudi Arabia**, immersed in vibrant cultures while contributing to groundbreaking projects that shape the digital landscape.

With the flexibility **to work remotely part of the time**, you can enjoy the best of both worlds - an inspiring office environment and the comfort of your chosen workspace.

**Endless Possibilities, Covered. **Worried about nitty-gritty details? Don’t be! We’ve got you covered. From **comprehensive legal and financial assistance to managing visa processes,** every step of your journey is meticulously cared for, ensuring a seamless transition.

**Diverse Collaborative Space. **Here, you’ll collaborate shoulder-to-shoulder **with innovators, experts, and visionaries** from around the globe.

**Your Success, Our Priority. **We invest in your success through tailored training, mentorship, and resources that empower you to excel in your role.

**About the project**:
Our client is not just a software company. They specialize in Custom Software Development, Dedicated Teams, and cutting-edge technologies like AI, ML, and Computer Vision. This diverse team of dedicated experts excels in IoT, AI, big data, and more while fusing R&D with business acumen to turn innovative ideas into complete solutions. Catering to startups, corporates, and digital agencies, these IT geeks are the go-to for custom software and advanced tech projects.

**Job Category**:Data Engineering**Job Type**:Full Time*

**Responsibilities**:
**Strategy**
- Participate in setting the section’s goals and strategies
- Develop and own data Integration Development execution plans
- Participate in the Data Engineering Strategy
- Participate in the Enterprise Data As Asset Strategy
- Oversee opportunities and develop strategies that support achieving the bank’s vision

**Policies, Processes & Procedures**
- Develop, maintain, and own the Data Integration Development policies, procedures, and standards and ensure the implementation of required controls covering all integration Development activities, and tools supporting different Sources of data such as Enterprise Data Warehouse, Big Data, and Operational Data Repository.
- Ensure the adherence to relevant departmental policies, processes, and standards and operating
- Identify, design, and implement internal process improvement and automation
- Optimize and improve quality of service and quality of deliverables and develop performance monitoring and improvement methodologies

**Day-to-day Operations**
- Oversee day-to-day the overall integration development activities according to the agreed plans and engagements in different initiates and projects
- Oversee and maintain updated and ready capabilities for the owned integration technologies and resources to ensure support for emerging needs in the bank
- Manage integration Development Engineers’ teams support their growth and assist their day-to-day work
- Manage integration development engineering engagements in different divisions and departments projects across the bank and allocation of resources as per agreed plans and priorities
- Provide leadership and Manage subordinate groups, units, and teams
- Develop processes and approaches to enhance the quality of deliverables further and expedite delivery speed
- Oversee day-to-day activities to ensure compliance with established standards, policies, and procedures
- Communicate the progress of the committed activities to the relevant
- stakeholders inside and outside the enterprise data management department
- Oversee the practices of Integration Development Engineering and build capabilities to ensure readiness and scalability of integration Development resources, processes & technologies.
- Direct the best utilization of integration Development engineering capabilities in driving business value
- Participate in different tactical committees from the bank’s strategic big initiatives, programs, and projects

**Data Integration Development**
- Oversee and plan maximum developer productivity, operational reusability, and data integration performance that ultimately shortens the time to value for business needs
- Plan and manage data integration development resources and tools to integrate and support all different types of data management platforms such as EDW, Big Data, Operational Data Store
- Direct the planning and execution of Integration Development and implementation activities and solutions
- Plan data development tools acquisition
- Plan and manage the engagement of data integration engineers and resources in business changes through the SDLC process
- Develop roadmaps, strategies, and plans for data Integration development targets and engagement responsibilities in different projects and initiatives.
- Develop and maintain optimal delivery approaches to serve different needs with a focus on balancing cost, complexity, and risks to achieve business outcomes
- Grow and boost Integration Development Engineering services and operations to increase efficiency and productivity
- Plan and ensure the coverage and capacity of Integration Development Engineering services across the bank
- Manages the relationship with the different stakeholders to ensure business interests & understanding are considered in the provided Integration Development services
- Plan and manage the delivery capabilities of data integration Development for strategic projects and initiatives

**Transfer of Knowledge and Communication**
- Promote data as an enterprise asset and participate in increasing the awareness of data impact in the bank
- Coach and educate data Integration Development Engineers about the importance of Data and Information in driving business value
- Oversee the preparation and training for data integration.
- Development engineers to become aware of new trends and approaches
- Direct & guide the subordinates on how to play the role of Integration
- Development Engineering on all levels

**Leadership**
- Manage the effective achievement of Data Integration development engineers’ objectives through leadership and motivation
- Set individual objectives, recruit qualified staff, manage performance, develop and motivate staff, provision of formal and informal feedback and appraisal - to maximize subordinate and division performance

**Change Management**
- Assesses the impact of introduced changes to people, processes, and systems and develops relevant communication and awareness i

**Responsibilities**:
**Strategy**
- Participate in setting the section’s goals and strategies
- Develop and own data Integration Design execution plans
- Participate in the Data Engineering Strategy
- Participate in the Enterprise Data As Asset Strategy
- Oversee opportunities and develop strategies that support achieving the bank’s vision

**Policies, Processes & Procedures**
- Develop, maintain, and own the Data Integration design policies, procedures, and standards and ensure the implementation of required controls covering all integration Design activities and tools supporting all types of data sources such as Enterprise Data Warehouse, Big Data, and Operational Data Repository.
- Ensure the adherence to relevant departmental policies, processes standards, and operating procedures so that work is carried out in a governed and consistent protocols
- Identify, design, and implement internal process improvement and automation
- Optimize and improve quality of service and quality of deliverables and develop performance monitoring and improvement methodologies

**Day-to-day Operations**
- Oversee day-to-day the overall integration of Design activities according to the agreed plans and engagements in different initiates and projects
- Oversee and maintain design capabilities for all types of owned integration and data management technologies and resources to ensure support for emerging needs in the bank
- Manage integration Design Engineers’ teams support their growth and assist their day-to-day work
- Manage integration Design engineering engagements in different divisions and departments projects across the bank and allocation of resources as per agreed plans and priorities
- Provide leadership and Manage subordinate groups, units, and teams
- Develop processes and approaches to enhance the quality of deliverables further and expedite delivery speed
- Oversee day-to-day activities to ensure compliance with established standards, policies, and procedures
- Communicate the progress of the committed activities to relevant stakeholders inside and outside the enterprise data management department
- Oversee the practices of Integration Design Engineering and build capabilities to ensure readiness and scalability of integration Design resources, processes & technologies.
- Direct the best utilization of integration Design engineering capabilities in driving business value
- Participate in different tactical committees from the bank’s strategic big initiatives, programs, and projects

**Data Integration Design**
- Plan and manage data integration Design resources and tools to integrate and support all different types of data management platforms such as EDW, Big Data, Operational Data Store
- Direct the planning and execution of Integration Design and implementation activities and solutions
- Plan data Design tools acquisition
- Plan and manage the engagement of data integration engineers and resources in business changes through the SDLC process
- Develop roadmaps, strategies, and plans for data Integration Design targets and engagement responsibilities in different projects and initiatives.
- Help business to translate their strategies and requirements into solutions that utilize powerful data integration tools and platforms to integrate business data and processes toward achieving their goals
- Develop and maintain optimal delivery approaches to serve different needs with a focus on balancing cost, complexity, and risks to achieve business outcomes
- Provide and maintain standards in big data integration solutions to turn more big data into business value quickly
- Grow and boost Integration Design Engineering services and operations to increase efficiency and productivity
- Plan and ensure the coverage and capacity of Integration Design Engineering services across the bank
- Manages the relationship with the different stakeholders to ensure business interests & understanding are considered in the provided Integration Design services
- Plan and manage the delivery capabilities of data integration Design for strategic projects and initiatives
- Adopt innovation in integration Design for reusability and scalability and faster implementation with less impact and risk

**Transfer of Knowledge and Communication**
- Promote data as an enterprise asset and participate in increasing the awareness of data impact in the bank
- Coach and educate data Integration Design Engineers about the importance of Data & Information in driving business value
- Oversee the preparation and training for data integration. Design engineers to become aware of new trends and approaches
- Direct & guide the subordinates on how to play the role of Integration Design Engineering on all levels

**Leadership**
- Manage the effective achievement of Data Integration Design engineers’ objectives through leadership and motivation
- Set individual objectives, recruit qualified staff, manage performance, develop and motivate staff, provision

Job Title: Senior Engineer, Data Engineering/Digitalization II

Job Summary:
The Senior Engineer, Data Engineering/Digitalization II, is responsible for driving and implementing data engineering and digitalization initiatives within an organization. This role involves leveraging data technologies, developing data pipelines, and creating digital solutions to enable data-driven decision-making and optimize business processes. The Senior Engineer will collaborate with cross-functional teams, provide technical expertise, and lead the development of data-driven solutions.

Key Responsibilities:

- Lead and drive data engineering and digitalization initiatives, working closely with stakeholders to understand business requirements and develop innovative solutions.
- Design, develop, and implement data pipelines, data integration processes, and data transformation workflows to ensure efficient and accurate data capture, storage, and analysis.
- Utilize data engineering tools and technologies, such as ETL frameworks, data warehouses, and data lakes, to enable data-driven decision-making and support analytics and reporting requirements.
- Collaborate with data scientists, analysts, and business stakeholders to identify data needs, define data models, and develop data structures that enable effective data analysis and visualization.
- Develop and implement data quality and data governance processes to ensure data accuracy, consistency, and compliance with privacy and security regulations.
- Identify opportunities for process automation and digitalization, leveraging emerging technologies such as machine learning, artificial intelligence, and robotic process automation.
- Collaborate with IT and infrastructure teams to ensure the availability, scalability, and performance of data engineering and digitalization systems and platforms.
- Provide technical leadership and mentorship to junior engineers, guiding them in the development and implementation of data engineering and digitalization projects.
- Collaborate with cross-functional teams, including data scientists, software developers, and project managers, to ensure successful project delivery and alignment with business objectives.
- Conduct performance evaluations, provide feedback, and identify training and development needs for team members.
- Collaborate with external vendors, consultants, and partners to leverage their expertise and resources for data engineering and digitalization projects.
- Ensure compliance with relevant data privacy, security, and regulatory requirements in data engineering and digitalization activities.
- Foster a culture of innovation, continuous improvement, and knowledge sharing within the data engineering and digitalization team.

Qualifications:

- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Master's degree is a plus.
- Min 5 years of experience in data engineering, digitalization, or a related field, with a focus on developing and implementing data-driven solutions.
- Strong knowledge of data engineering principles, practices, and technologies, including ETL frameworks, data integration, and data modeling.

This job has been sourced from an external job board.

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

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3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

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

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