customer engineer, data analytics, google cloud Jobs in Qatar

customer engineer, data analytics, google cloud

customer operations lead

ai business engineer

azure data engineer -

azure data engineer --

customer engineer data analytics google cloud

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 10 years of experience with cloud native architecture in a customer-facing or support role.
 </li>
 <li>
 Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
 </li>
 <li>
 Experience with Data Warehousing architectures (e.g., legacy appliances like Teradata/Netezza or modern cloud warehouses).
 </li>
 <li>
 Experience in SQL and data visualization tools (Looker, Tableau, Power BI).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience scripting in Python, Java, or Go for data processing tasks.
 </li>
 <li>
 Experience presenting complex technical concepts to C-level executives and leading technical whiteboard sessions.
 </li>
 <li>
 Experience architecting and deploying data solutions on public cloud platforms (Google Cloud).
 </li>
 <li>
 Experience with Google Cloud BigQuery, Looker, and machine learning integration in data warehouses (e.g. BigQuery ML).
 </li>
 <li>
 Deep understanding of the data analytics market, including current trends in Business Intelligence and Big Data.
 </li>
 <li>
 Ability to explain complex data concepts to non-technical executive stakeholders, including familiarity with ETL/ELT pipelines and orchestration tools (e.g., Airflow/Cloud Composer, dbt).
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 
 
 As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.
 
 
 You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with the team to identify and qualify business opportunities, understand key customer objections, and develop a strategy to resolve technical blockers in relation to aspects of the data lifecycle.
 </li>
 <li>
 Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
 </li>
 <li>
 Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
 </li>
 <li>
 Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
 </li>
 <li>
 Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Customer Engineer, Data Analytics, Google Cloud

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role. 
</li>
<li>Experience with &quot;Big Data&quot; technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. 
</li>
<li>Experience with Data Warehousing architectures (e.g., legacy appliances like Teradata/Netezza or modern cloud warehouses).</li>
<li>Experience in SQL and data visualization tools (Looker, Tableau, Power BI).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience scripting in Python, Java, or Go for data processing tasks. 
</li>
<li>Experience presenting complex technical concepts to C-level executives and leading technical whiteboard sessions.</li>
<li>Experience architecting and deploying data solutions on public cloud platforms (Google Cloud).</li>
<li>Experience with Google Cloud BigQuery, Looker, and machine learning integration in data warehouses (e.g. BigQuery ML).</li>
<li>Deep understanding of the data analytics market, including current trends in Business Intelligence and Big Data. 
</li>
<li>Ability to explain complex data concepts to non-technical executive stakeholders, including familiarity with ETL/ELT pipelines and orchestration tools (e.g., Airflow/Cloud Composer, dbt).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. 
 
You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed. 
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Work with the team to identify and qualify business opportunities, understand key customer objections, and develop a strategy to resolve technical blockers in relation to aspects of the data lifecycle. 
</li>
<li>Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. 
</li>
<li>Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements. 
</li>
<li>Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. 
</li>
<li>Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Edison Smart®

<div>
 
 
 AI Architect &ndash; Doha - Up to 30,000 QAR
 
 
 
 The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Architecture &amp; Solution Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
 </li>
 <li>
 Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
 </li>
 <li>
 Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
 </li>
 </ul>
 
 
 Enterprise Integration &amp; Data Engineering
 
 
 <ul>
 <li>
 Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
 </li>
 <li>
 Connect structured and unstructured data sources using APIs, middleware, and automation tools.
 </li>
 <li>
 Build and optimise data pipelines to support model training, inference, and continuous improvement.
 </li>
 </ul>
 
 
 AI Governance, Security &amp; Risk
 
 
 <ul>
 <li>
 Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
 </li>
 <li>
 Monitor and manage risks related to model bias, transparency, explainability, and trust.
 </li>
 <li>
 Apply robust security and governance standards across all AI deployments.
 </li>
 </ul>
 
 
 Applied AI Implementation
 
 
 <ul>
 <li>
 Deploy and customise AI models for real-world use cases across different business functions.
 </li>
 <li>
 Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
 </li>
 <li>
 Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
 </li>
 </ul>
 
 
 Stakeholder Collaboration &amp; Advisory
 
 
 <ul>
 <li>
 Work closely with technical and business teams to identify opportunities for applied AI adoption.
 </li>
 <li>
 Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
 </li>
 <li>
 Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
 </li>
 </ul>
 
 
 Performance Engineering &amp; Scalability
 
 
 <ul>
 <li>
 Optimise AI architectures for speed, performance, and reliability.
 </li>
 <li>
 Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
 </li>
 <li>
 Assess ROI and operational impact of AI deployments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 in solution architecture, with
 
 4+ years
 
 focused on applied AI/ML projects.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
 </li>
 <li>
 Azure AI Foundry, Google Cloud AI/ML credentials.
 </li>
 <li>
 Software engineering or solution architecture certifications.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong expertise in AI solution development and applied AI delivery.
 </li>
 <li>
 Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
 </li>
 <li>
 Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
 </li>
 <li>
 Strong understanding of SDLC, requirements gathering, and technical design.
 </li>
 <li>
 Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
 </li>
 <li>
 Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
 </li>
 <li>
 Knowledge of advanced RAG techniques for enterprise knowledge management.
 </li>
 <li>
 Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, high-performing AI systems.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
</div>

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

<div><div><div>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
Job Description:
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry. 
Key Responsibilities
Program &amp; Project Delivery
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.
Digital &amp; Data Transformation
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.
Stakeholder Engagement
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.
o Communicate complex technology initiatives in business terms for executive stakeholders.
o Manage organizational change to ensure adoption across technical and non-technical teams.
Governance &amp; Compliance
o Ensure projects align with industry regulations, HSE standards, and data security requirements.
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.
Value Realization
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).
o Monitor ROI and continuously refine project portfolios based on impact. 
Required Skills &amp; Experience<ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul> 
Preferred Skills<ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div>

Project Manager (Data & AI, Oil & Gas) (Doha)

Candidzone

Requirements:<ul><li>Minimum 5 years of professional experience in IT Systems within the GCC</li><li>Bachelor&rsquo;s degree in IT, Computer Science, or a related field</li><li>Microsoft Azure &amp; Google Cloud certifications (preferred)</li><li>Proven experience as a Systems Engineer with strong focus on Azure &amp; GCP</li><li>Solid knowledge of cloud services, virtualization, and storage</li><li>Valid QID and immediate joining preferred</li></ul>Job Type: Full-time

IT System Engineer

Andaz

<div>
 
 Organization- Andaz Doha
 
 
 
 
 Summary
 
 
 
 
 Duties and responsibilities related to Marketing Executive role:
 
 
 
 <ul>
 <li>
 Assist in developing and maintaining the Hotel marketing toolkit, ensuring it reflects the latest branding updates and refinements while staying aligned with the Andaz Doha brand and each outlet&rsquo;s unique identity.
 </li>
 <li>
 Support the marketing department in implementing hotel marketing strategies (across F&amp;B, Rooms &amp; Spa) that are consistent with the Andaz Doha brand and tailored to each outlet.
 </li>
 <li>
 Coordinate hotel (across F&amp;B, Rooms &amp; Spa) marketing campaigns, promotions, and activations to boost brand awareness and customer engagement.
 </li>
 <li>
 Manage updates and maintenance of all digital and print collateral, including menus, promotional materials, signage, and giveaways, ensuring consistent brand presentation
 </li>
 <li>
 Oversee the marketing shared drive and content library, organizing all necessary files such as high-quality content, updated menus, monthly listings, and promotional assets to ensure easy access and brand consistency.
 </li>
 <li>
 Collaborate closely with the Outlet Managers (across F&amp;B, Rooms &amp; Spa) to maintain and execute a comprehensive promotional calendar.
 </li>
 <li>
 Act as the on-site marketing liaison for all outlets, providing support and coordination as needed. Characteristics.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in marketing, Communications, Digital Media, or a related field
 </li>
 <li>
 2&ndash;3 years of hands-on experience in social media management, ideally within hospitality, luxury lifestyle, and F&amp;B.
 </li>
 <li>
 English, Arabic fluency preferred
 </li>
 <li>
 Locally available in Qatar
 
 
 </li>
 </ul>
 
 Skills &amp; Tools
 
 
 
 <ul>
 <li>
 Proficient in content creation &amp; editing (e.g., Adobe Creative Cloud, Canva, Lightroom)
 </li>
 <li>
 Strong copywriting, storytelling, and visual design sensibility
 </li>
 <li>
 Familiarity with social media scheduling tools (Hootsuite, Meta Business Suite, Sprinklr) and analytics platforms (Google Analytics).
 </li>
 <li>
 Basic photography/videography knowledge, including lighting and sound design
 </li>
 <li>
 Strong organizational, multitasking, and time-management abilities
 </li>
 <li>
 Excellent communication skills (Arabic &amp; English when required) and attention to detail
 </li>
 <li>
 Analytical mindset for data-driven strategy optimization
 </li>
 </ul>
</div>

Marketing Executive

Explore 1771+ Customer engineer data analytics google cloud in Qatar this December. Find roles across top companies and apply now to boost your career.

1771 customer engineer data analytics google cloud jobs IN Qatar

Customer Engineer, Data Analytics, Google Cloud

Customer Engineer, Data Analytics, Google Cloud

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

Data Architect (Category - Architect) (Doha)

Project Manager (Data & AI, Oil & Gas) (Doha)

IT System Engineer

Marketing Executive