10 Data Engineering 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.

• 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

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.

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.

• 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.

• 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.

Role Summary:
The specialist, Data Architecture plays a crucial role in designing, implementing, and optimizing data architecture solutions to meet the organization's data management needs. This role involves developing data models, defining data standards, and ensuring data integrity and security across the enterprise business goals.

Job Duties & Responsibilities:

• Develop and maintain data architecture frameworks, standards, and policies to guide data management practices.
• Design and implement data models, databases, and data warehouses to support business requirements and analytics initiatives.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Define data governance processes and controls to ensure data quality, consistency, and compliance with regulatory requirements.
• Evaluate and select data management tools and technologies to support data integration, storage, and retrieval needs.
• Conduct data analysis and profiling to identify data quality issues, anomalies, and opportunities for improvement.
• Provide technical guidance and support to project teams and stakeholders on data architecture best practices and methodologies.
• Stay updated on emerging trends and technologies in data management and recommend innovative solutions to enhance data architecture capabilities.

Education & Experience:

• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 4 years of progressive experience in data architecture, database design, and data modeling roles.
• Deep knowledge in data modeling tools and techniques, such as ER diagrams, dimensional modeling, and data flow diagrams.

Skills:

• Excellent analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights.
• Excellent in designing conceptual, logical, and physical data models using tools such as ERwin, ER/Studio, or PowerDesigner.
• Ability to translate business requirements into data models that accurately represent the organization's data assets.
• Strong understanding of database design principles, normalization techniques, integration tools and indexing strategies.
• Experience with relational database management systems (RDBMS) and familiarity with schema design for performance and scalability.
• Familiarity with cloud-based data services and platforms, such as Amazon Redshift, Google BigQuery, or Azure SQL Database.
• Experience with cloud data migration, storage, and analytics solutions.
• Knowledge of data governance frameworks, policies, and procedures.
• Ability to establish data processes for managing data assets, defining data ownership, and ensuring data quality, integrity, and security.
• Understanding of data quality dimensions, metrics, and methodologies. Ability to implement data quality rules, validation checks, and cleansing processes to improve data accuracy, completeness, and consistency.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, trends, and anomalies, and derive actionable insights to support business decision-making.
• Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Experience in preparing technical documentation, data dictionaries, and architectural diagrams.
• Ability to collaborate effectively with cross-functional teams, including business stakeholders, data engineers, data analysts, developers, and IT infrastructure teams.
• Experience in facilitating workshops, meetings, and discussions to gather requirements and drive consensus.

Responsible for defining and leading the bank's enterprise data architecture to ensure alignment with digital transformation objectives, regulatory requirements, and data governance standards.

This role ensures data structures, integrations, and flows across the organization are optimized for scalability, security, and business intelligence enablement.

Key Responsibilities:

• Design and implement the enterprise data architecture framework, ensuring models, integrations, and standards are scalable, secure, and aligned with the bank's strategy.
• Lead the development and maintenance of conceptual, logical, and physical data models across enterprise domains, ensuring alignment with regulatory and business requirements.
• Oversee data flow design and governance, including integrations and APIs, to ensure accessibility and consistency of information across systems.
• Collaborate with business, IT, and data management teams to ensure architecture supports analytics, business intelligence, and data-driven decision-making.

Requirements

Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred).

5 years of experience in data architecture, modeling, and integration within banking or financial services.

Strong knowledge of data architecture frameworks (e.g., TOGAF, DAMA-DMBOK).

Experience with Azure Data Services, Snowflake, Informatica, or equivalent platforms.

Deep understanding of data governance, data quality, and metadata management.

Familiarity with regulatory data standards (SAMA, Basel, IFRS9).

Role Overview

HUMAIN is seeking a
Data Center Engineering Architect
to lead the master planning, scalability, and architectural design of AI-enabled data centre facilities, ensuring resilient, sustainable, and future-ready infrastructure optimized for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. The role integrates advanced design practices to deliver facilities capable of supporting GPU/TPU clusters, low-latency interconnects, modular expansions, and advanced cooling systems, enabling the organization to remain at the forefront of AI data infrastructure delivery.

Key Responsibilities

People Management

• Manage the achievement of objectives by setting individual objectives, managing performance, developing staff, and providing formal and informal feedback to maximize overall performance and engagement.
• Manage and guide multidisciplinary design teams by providing architectural leadership and technical oversight, ensuring that all contributors remain aligned with the organization's vision for AI-ready infrastructure.
• Mentor junior architects and engineers to develop expertise in AI data centre design, cultivating a culture of continuous learning, innovation, and technical excellence.

Project Governance and Methodology

• Establish and maintain architectural design frameworks, governance models, and best practices tailored to the requirements of AI and HPC workloads, ensuring designs are scalable, modular, and compliant with international standards.
• Ensure that architectural processes integrate risk management, regulatory compliance, and sustainability objectives while enabling rapid delivery of large-scale AI Data Centre projects.

Design Execution Oversight

• Lead the development of conceptual and detailed designs for multi-building AI campuses, ensuring that facilities integrate critical systems such as GPU/TPU clusters, advanced cooling solutions, and resilient power networks.
• Validate design deliverables against organizational priorities for resilience, efficiency, sustainability, and scalability to ensure operational excellence in AI infrastructure.
• Oversee the integration of architectural, mechanical, electrical, and IT systems to deliver cohesive and future-ready facilities.

Reporting

• Develop comprehensive reporting frameworks that provide visibility into architectural progress, risks, and opportunities, with a focus on AI infrastructure readiness and scalability.
• Deliver detailed updates and actionable insights to senior management and stakeholders, supporting data-driven decision-making across the organization.

Quality Assurance

• Implement and enforce robust QA/QC processes to ensure that architectural deliverables meet the highest standards of quality, resilience, and compliance.
• Conduct structured design reviews and benchmarking exercises, ensuring alignment with global best practices for AI and hyperscale data centre facilities.

Safety, Quality & Environment

• Integrate environmental responsibility and safety compliance into every design stage, embedding green building standards such as LEED and BREEAM into all architectural projects.
• Balance the performance density of AI workloads with carbon efficiency, water stewardship, and long-term sustainability objectives.

Continuous Improvement

• Research emerging innovations in AI data centre design, including modular construction, liquid cooling, and digital twin simulation, and incorporate them into design processes.
• Drive continuous improvement of systems, tools, and workflows to enhance scalability, cost efficiency, and sustainability across architectural projects.

Policies, Processes & Procedures

• Ensure that all architectural workflows align with corporate governance frameworks, risk management standards, and international codes, reducing compliance risk and ensuring operational integrity.

MIS & Reports

• Prepare timely and accurate reports, blueprints, and technical documents to support AI infrastructure deployment, serving as a critical input for decision-making and stakeholder communication.

Related Assignments

• Perform other related duties or assignments as directed to support business objectives.

Required Qualifications

• Bachelor's degree in architecture, Civil/Structural, or Mechanical/Electrical Engineering (Master's preferred).
• 12+ years of experience in data centre or critical facility design, with at least 5 years in a leadership role.
• Proven experience designing facilities optimized for AI, HPC, or hyperscale cloud computing workloads.
• Deep expertise in Data Centre Master Planning, critical infrastructure design, and AI-capable system integration.
• Strong understanding of liquid cooling, chip-to-chiller integration, and high-density power distribution.
• Familiarity with sustainability frameworks (LEED, BREEAM) and AI-related regulatory standards.
• Skilled in digital tools such as BIM, Revit, and AI-driven design optimization platforms.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.

As an Engineering Operations Engineer, you will operate and maintain AWS DCs' world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.

If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.

Key job responsibilities

SAFETY:

• Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.

ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE:

• You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS's), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
• Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
• Troubleshoot facility and rack-level events within internal SLAs
• Perform root cause analysis of equipment failures
• Drive innovation while reducing operational costs in the facilities

A day in the life

• Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
• Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
• Supervise contractors who perform servicing or preventive maintenance
• Perform the following tasks, with or without reasonable accommodation:
• Occasionally Move objects/material (weight limits in accordance with regulations)
• Work in outdoor weather conditions.
• Work in noisy environments
• Work at heights and from ladders

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

• Bachelor's degree in engineering, project management, construction management or similar technical focus
• Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
• Knowledge of key electrical competencies and theory

• Experience in data center engineering
• Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
• Knowledge of BMS and EPMS control systems and data collection/trending

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.

As an Engineering Operations Engineer, you will operate and maintain AWS DCs' world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.

If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.

Key job responsibilities

Safety

• Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.

Engineering & Facility Operations And Maintenance

• You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS's), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
• Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
• Troubleshoot facility and rack-level events within internal SLAs
• Perform root cause analysis of equipment failures
• Drive innovation while reducing operational costs in the facilities

A day in the life

• Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
• Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
• Supervise contractors who perform servicing or preventive maintenance
• Perform the following tasks, with or without reasonable accommodation:
• Occasionally Move objects/material (weight limits in accordance with regulations)
• Work in outdoor weather conditions.
• Work in noisy environments
• Work at heights and from ladders

About The Team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Bachelor's degree in engineering, project management, construction management or similar technical focus
• Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
• Knowledge of key electrical competencies and theory

Preferred Qualifications

• Experience in data center engineering
• Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
• Knowledge of BMS and EPMS control systems and data collection/trending

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Web Services Limited Regional Headquarter (One Person)

Job ID: A

EAI&D – AI & Data – AI Architect Manager
About Deloitte
: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.

Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

We are seeking a highly experienced
AI Architect at Manager level
to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.

Key Responsibilities
Strategy & Advisory

• Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.

Architecture & Solution Design

• Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
• Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
• Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.

Delivery & Execution

• Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
• Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
• Drive the industrialization of AI assets into reusable accelerators and IP for the firm.

Leadership & Practice Building

• Mentor and develop AI architects, engineers, and consultants within the firm.
• Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
• Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.

Qualifications & Experience

• 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
• Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.

• Strong technical foundation in:

• Large Language Models (LLMs), generative AI, and agent-based systems

• MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
• Enterprise application ecosystems (ERP, CRM, HRM platforms)

• AI security, governance, and compliance frameworks

• Track record of leading large-scale AI programs and cross-functional teams.

• Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
• Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
• Willingness to travel across GCC region (50-75% of time)

Additional Preferred Qualifications

• Arabic language is a plus.
• Professional Certifications in the field is a plus.
• Publications or articles on Artificial Intelligence topics is a plus.

Key Competencies

• Strategic Thinking – Ability to shape enterprise AI transformation journeys.
• Technical Leadership – Expertise in designing and governing scalable AI architectures.
• Client Engagement – Strong consulting skills, executive presence, and storytelling ability.
• Innovation Mindset – Passion for exploring emerging AI paradigms and turning them into business value.
• People Leadership – Proven ability to mentor, inspire, and build high-performing teams.

What We Offer

• Opportunity to lead AI architecture for some of the region's most ambitious transformation programs.
• A platform to shape the future of AI consulting and build new IP and accelerators.
• Career growth in a dynamic, fast-scaling practice with global exposure.
• Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
• Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
• Strong business acumen, identifying opportunities where data science can drive business value and growth.