Qureos Mentor

<div>
 Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier.
 
 
 
 Job Description
 
 
 
 To support our growth, we are recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions through close collaboration with clients, manage stakeholders, and ensure impactful project delivery from strategy through execution.
 
 
 
 Responsibilities:
 
 
 
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 Data Architecture &amp; Pipeline Design: Building robust, scalable data pipelines and architectures to enable efficient ingestion, processing, and delivery of large volumes of structured and unstructured data.
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 Cloud &amp; Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka).
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 Database Design &amp; Data Modeling: Developing logical and physical data models and optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases.
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 Data Integration &amp; Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources.
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 CI/CD &amp; DataOps Practices: Enabling continuous integration and deployment of data services and infrastructure, using modern DevOps tooling to ensure reliability, versioning, and automation in data workflows.
 
 
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 </ul>
 
 Within Sia itself you will:
 
 
 
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 Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications.
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 Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars).
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 Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships.
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 Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management.
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 Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills.
 
 
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 Your profile
 
 
 
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 Analytical thinker with a structured and proactive approach.
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 Experienced communicator capable of clearly articulating complex technical ideas to varied audiences.
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 Effective stakeholder manager, comfortable guiding teams through project delivery.
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 Demonstrated ability to mentor colleagues and facilitate professional development.
 
 
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 Qualifications
 
 
 
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 Completed Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
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 The specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure.
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 3-6 years of relevant professional experience (or equivalent academic research).
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 Strong analytical mindset with systematic problem-solving abilities.
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 You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.
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 A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive.
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 Fluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a must. German is a nice plus!
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 Proven interest in Data Engineering, and relevant sectors such as Energy and Finance.
 
 
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 What do we offer?
 
 
 
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 Competitive salary package, including annual salary increase, bonuses, and flexible mobility options (company car or personalized mobility plan).
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 Tailored training and development opportunities to position you as an expert in your field.
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 Flexible working arrangements (office, home, client sites) and international project exposure.
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 Collaborative global environment fostering professional growth and knowledge sharing.
 
 
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 Additional Information
 
 
 
 We are unable to provide a work permit for this position
 
 
 Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
</div>

Senior Data Engineer Consultant

<div>
 
 Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
 
 
 
 
 
 
 Job Description
 
 
 
 
 The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
 
 
 
 
 As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:
 
 
 
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 Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code
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 Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads
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 Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)
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 CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites
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 Data pipelines: development of ETL scripts in Big Data environments
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 Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.
 
 
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 Qualifications
 
 
 
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 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)
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 You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
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 You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).
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 Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.
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 You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.
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 You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).
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 You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)
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 You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.
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 You have excellent interpersonal and team working skills
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 Excellent English and Dutch verbal and written skills are required.
 
 
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 </ul>
 
 Additional Information
 
 
 
 
 We are unable to provide a work permit for this position
 
 
 
 
 
 
 
 
 Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
 
</div>

Consultant Data Engineer

<div>
 
 
 Sia
 
 is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success,
 
 Sia
 
 has shown double-digit growth every year since inception.
 
 
 
 
 
 Sia
 
 is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
 
 
 
 
 With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
 
 
 
 
 
 Sia
 
 is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
 
 
 
 
 Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
 
 
 
 
 In the Middle East,
 
 Sia
 
 provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
 
 
 
 
 
 Why join the Sia Village?
 
 
 
 
 
 Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
 
 
 
 
 These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.
 
 
 
 
 
 
 Job Description
 
 
 
 
 At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.
 
 
 
 
 We are looking for individuals with the following experience:
 
 
 
 
 
 Lead delivery projects with our clients on a wide range of topics:
 
 
 
 
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 Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.
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 Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.
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 Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).
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 Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.
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 Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.
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 Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.
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 Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.
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 Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.
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 Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.
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 Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.
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 Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.
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 In addition, we are seeking technical experience across all or some of the below:
 
 
 
 
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 Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.
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 Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).
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 Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.
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 Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.
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 Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.
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 Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.
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 Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.
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 Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.
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 Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.
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 Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.
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 Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.
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 Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.
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 Familiarity with Agile delivery methodologies and cross-functional product delivery teams.
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 Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.
 
 
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 </ul>
 
 Qualifications
 
 
 
 
 To excel in this role, you should possess:
 
 
 
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 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.
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 Master&rsquo;s degree in a relevant discipline.
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 4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.
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 Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.
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 Experience working with enterprise and government stakeholders in KSA or the GCC.
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 Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.
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 Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.
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 Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).
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 Fluency in English and Arabic is required.
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 Experience in local networks and aiding in business development, proposal, and RFPs
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 It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.
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 Strong relationship management skills, with the ability to build networks and influence stakeholders effectively
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 Exceptional analytical, communication, and interpersonal skills
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 An entrepreneurial mindset with a passion for innovation and problem-solving
 
 
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 Additional Information
 
 
 
 
 Joining
 
 Sia
 
 means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
 
 
 
 
 What a career at Sia offer you?
 
 
 
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 Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.
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 Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.
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 Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.
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 Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.
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 Our Commitment to Diversity
 
 
 
 
 At
 
 Sia
 
 , we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
 
 
 
 
 We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
 
 
 
 
 To learn more about our mission, values, and business sectors, please visit our website.
 
 
 
 
 Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
 
</div>

[KSA] Data & AI – Senior Consultant / Associate Manager

Join Sia and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Sia

About Company

Senior Data Engineer Consultant

Consultant Data Engineer

[KSA] Data & AI – Senior Consultant / Associate Manager