document controller

chief steward

data analyst

data privacy assistant

data privacy officer

data steward

Park Hyatt Doha

<div>
 
 
 Organization- Park Hyatt Doha
 
 
 
 
 
 
 
 Summary
 
 
 
 Park Hyatt Doha is looking for a hardworking and reliable Kitchen Steward to join our Stewarding team. The ideal candidate will play a key role in maintaining cleanliness and hygiene in the kitchen, ensuring a safe and organized working environment for our chefs and culinary staff.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Previous experience in a similar role
 </li>
 <li>
 Physically fit and able to work in a fast-paced environment
 </li>
 <li>
 Willingness to work flexible hours, including weekends and holidays
 </li>
 <li>
 Basic knowledge of hygiene and safety standards is an advantage
 </li>
 <li>
 Positive attitude and a team-player mindset
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re ready to take your career to new heights and be part of something truly special, we want to hear from you! Join us at Park Hyatt Doha &ndash; where luxury meets opportunity.
 
 
 
 
 
 Apply today and start your journey with us!
 
 
 ________________________________________
 
 
 
 Park Hyatt Doha is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
</div>

Kitchen Steward

Millennium Place Doha

We are looking for a highly organized and proactive Steward Supervisor to join our team. The ideal candidate will oversee stewarding operations, maintain cleanliness and hygiene standards, and ensure efficient support for kitchen and dining areas.Key Responsibilities<ul><li>Supervise the stewarding team to ensure all kitchen and dishwashing areas are clean, sanitized, and well-maintained.</li><li>Monitor and schedule stewarding staff, ensuring adequate coverage for all shifts.</li><li>Ensure proper handling, washing, and storage of kitchen equipment, utensils, and service ware.</li><li>Coordinate with the culinary and F&amp;B teams to support operational needs.</li><li>Maintain inventory of cleaning supplies, chemicals, and stewarding equipment.</li><li>Conduct regular inspections to ensure hygiene and safety standards comply with company policies.</li><li>Train new stewards on cleaning procedures, equipment use, and safety protocols.</li><li>Manage waste disposal and recycling processes.</li><li>Assist in monthly stock-taking and cost-control initiatives.</li><li>Address and resolve operational issues in stewarding areas promptly.</li></ul>Qualifications<ul><li>High school diploma or equivalent; hospitality-related training is an advantage.</li><li>Minimum 3-5 years of experience in stewarding or kitchen operations; supervisory experience preferred.</li><li>Strong knowledge of hygiene, sanitation, and safety standards (HACCP preferred).</li><li>Excellent communication and leadership skills.</li><li>Ability to work under pressure and handle fast-paced environments.</li></ul>Job Types: Full-time, PermanentPay: QAR2,500.00 - QAR3,000.00 per monthWork Location: In person

Steward Supervisor

Confidential

<div>
 
 Overview
 
 
 
 
 
 We are seeking a Senior ETL Designer &amp; Developer to design, build, and support enterprise-scale data integration and analytics solutions across Informatica PowerCenter, Teradata EDW, and Google Cloud Platform (GCP). The role involves developing scalable ETL pipelines, enabling telecom data processing, supporting enterprise reporting (including ad-hoc analytics), and optimizing large-scale EDW environments.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 ETL &amp; Data Engineering
 
 <ul>
 <li>
 Design, develop, and maintain ETL/ELT workflows using Informatica PowerCenter
 </li>
 <li>
 Build scalable batch and near real-time data pipelines
 </li>
 <li>
 Develop reusable mappings, workflows, and transformation logic
 </li>
 <li>
 Automate ETL processes using Unix shell scripting
 </li>
 </ul>
 
 Data Warehouse (Teradata)
 
 <ul>
 <li>
 Work extensively with Teradata Enterprise Data Warehouse environments
 </li>
 <li>
 Strong experience with Teradata CLDM (Common Logical Data Model)
 </li>
 <li>
 Design and manage EDW layered architecture (Staging, ODS, EDW, Data Marts)
 </li>
 <li>
 Extensive expertise in Teradata performance optimization techniques including: Explain plan analysis, Partitioning strategies, Join/index optimization (PI, NUSI, etc.), Query tuning and workload management
 </li>
 <li>
 Strong Teradata SQL coding expertise for complex transformations and large datasets
 </li>
 <li>
 Design and optimize dimensional models (star/snowflake schemas)
 </li>
 </ul>
 
 Cloud Data Engineering
 
 <ul>
 <li>
 Develop solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub)
 </li>
 <li>
 Implement and support hybrid data architectures integrating on-prem EDW with cloud systems
 </li>
 </ul>
 
 BI, Reporting &amp; Data Virtualization
 
 <ul>
 <li>
 Support enterprise BI tools: SAP BusinessObjects, Qlik Sense, Looker
 </li>
 <li>
 Support ad-hoc reporting requirements from business users using EDW and BI layers
 </li>
 <li>
 Work with Denodo Platform for federated data access, performance optimization, and logical data modeling
 </li>
 </ul>
 
 Telecom Domain Experience
 
 <ul>
 <li>
 Strong experience in telecom OSS/BSS data environments
 </li>
 <li>
 Hands-on knowledge of: CDR/IPDR data processing; Billing, CRM, and subscriber lifecycle data; Network performance, fault, and mediation systems
 </li>
 <li>
 Understanding of telecom KPIs (ARPU, churn, usage patterns, QoS metrics)
 </li>
 <li>
 Experience handling high-volume, complex telecom datasets
 </li>
 </ul>
 
 Scripting &amp; Performance Optimization
 
 <ul>
 <li>
 Strong expertise in Unix shell scripting for automation, scheduling, and monitoring
 </li>
 <li>
 Advanced Teradata performance tuning and optimization for large-scale workloads
 </li>
 <li>
 Optimize ETL jobs, SQL queries, and EDW processes for scalability and efficiency
 </li>
 <li>
 Troubleshoot pipeline failures and ensure system reliability
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 7+ years of experience in ETL development and data warehousing
 </li>
 <li>
 Strong hands-on experience with Informatica PowerCenter
 </li>
 <li>
 Deep expertise in Teradata EDW, including CLDM and optimization techniques
 </li>
 <li>
 Strong Teradata SQL coding and performance tuning skills
 </li>
 <li>
 Experience with EDW architecture (Staging, ODS, EDW, Data Marts)
 </li>
 <li>
 Advanced SQL and data modeling (Kimball/Inmon)
 </li>
 <li>
 Experience with Google Cloud Platform data services
 </li>
 <li>
 Unix shell scripting for automation
 </li>
 <li>
 Telecom domain experience (preferred/required based on role level)
 </li>
 </ul>
 
 Preferred Skills
 
 <ul>
 <li>
 Cloud migration experience (on-prem EDW to GCP)
 </li>
 <li>
 Python or additional scripting/automation skills
 </li>
 <li>
 CI/CD pipelines for data engineering workflows
 </li>
 <li>
 Experience with BI semantic layers and enterprise reporting frameworks
 </li>
 <li>
 Experience supporting ad-hoc business reporting in enterprise environments
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Analytical thinking and strong problem-solving ability
 </li>
 <li>
 Ability to work in agile, fast-paced environments
 </li>
 <li>
 Strong ownership mindset with focus on data quality and delivery
 </li>
 </ul>
</div>

Senior ETL Designer & Developer

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 
 
 
 The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank&rsquo;s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.
 
 
 
 
 
 
 Detailed Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank&rsquo;s policies and units/departments approved policies and procedures.
 </li>
 <li>
 Support in development and implementation of the bank&rsquo;s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations.
 </li>
 <li>
 Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank.
 </li>
 <li>
 Prepare Data Privacy policies, procedures &amp; notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates.
 </li>
 <li>
 Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank.
 </li>
 <li>
 Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs).
 </li>
 <li>
 Perform Data Privacy Impact Assessment of the bank&rsquo;s business process and IT applications processing personal data of the staff, customers, vendors, etc.
 </li>
 <li>
 Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures.
 </li>
 <li>
 Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications and Experience:
 
 
 
 
 
 <ul>
 <li>
 University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.
 </li>
 <li>
 05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline.
 </li>
 <li>
 Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.
 </li>
 </ul>
</div>

Data Privacy Officer

Iberdrola

<div>We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our SaaS platform despite having highly specific, complex data requirements.
You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the &quot;Time-to-Value&quot; for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.
Jobs To Be Done
<ul><li>Lead the end-to-end technical onboarding and implementation of our SaaS solutions for new enterprise customers.</li>
<li>Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies.</li>
<li>Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models.</li>
<li>Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met.</li>
<li>Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals.</li>
<li>Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers.</li>
<li>Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into &quot;business-as-usual&quot; platform usage.</li>
</ul>Education Requirements
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.</li>
<li>Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.</li>
<li>Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.</li>
</ul>Experience
<ul><li>5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.</li>
<li>Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.</li>
<li>Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.</li>
<li>Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.</li>
</ul>Skills and Competencies
<ul><li>Delivery Management : Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.</li>
<li>Technical Fluency : Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.</li>
<li>Product Mastery : Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.</li>
<li>Client Management : Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.</li>
<li>Problem Solving : A proactive, &quot;fix-it-first&quot; mentality when dealing with data integration bottlenecks.</li>
</ul>KPIs
<ul><li>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.</li>
<li>Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.</li>
<li>Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.</li>
<li>Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.</li>
<li>Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.</li>
</ul>Why Us
As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world&rsquo;s most pressing environmental challenges. 
 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Product Delivery Lead

<div>
 
 Job Summary
 
 
 
 We are seeking a detail-oriented and analytical
 
 Data Analyst
 
 with experience in a
 
 contact centre environment
 
 and strong
 
 Workforce Management (WFM)
 
 capabilities. The ideal candidate will be responsible for analysing operational data, optimizing workforce planning, and delivering actionable insights to improve performance, efficiency, and customer experience.
 
 
 
 
 Key Responsibilities
 
 
 
 Data Analysis &amp; Reporting
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and insights related to contact centre performance.
 </li>
 <li>
 Develop and maintain dashboards and reports using tools such as
 
 Power BI
 
 or
 
 Tableau
 
 .
 </li>
 <li>
 Provide daily, weekly, and monthly performance reports (KPIs, SLAs, service levels, etc.).
 </li>
 <li>
 Support data-driven decision-making through accurate and timely analysis.
 </li>
 </ul>
 
 Workforce Management (WFM)
 
 <ul>
 <li>
 Perform
 
 forecasting
 
 of call volumes, workload, and staffing requirements.
 </li>
 <li>
 Develop and manage
 
 scheduling plans
 
 to ensure optimal resource utilization.
 </li>
 <li>
 Conduct
 
 real-time monitoring (RTA)
 
 of contact center operations and recommend adjustments.
 </li>
 <li>
 Analyze shrinkage, occupancy, and adherence metrics to improve efficiency.
 </li>
 </ul>
 
 Process Improvement
 
 <ul>
 <li>
 Identify operational inefficiencies and recommend process improvements.
 </li>
 <li>
 Collaborate with operations and team leaders to enhance productivity and service delivery.
 </li>
 <li>
 Support continuous improvement initiatives through data insights.
 </li>
 </ul>
 
 Data Management
 
 <ul>
 <li>
 Extract, clean, and manipulate data using
 
 SQL
 
 and
 
 Excel
 
 .
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across reports.
 </li>
 <li>
 Automate reporting processes where possible.
 </li>
 </ul>
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Statistics, Mathematics, Business, or related field.
 </li>
 <li>
 Minimum
 
 2 years of experience
 
 in data analysis within a
 
 contact center environment
 
 .
 </li>
 <li>
 Strong
 
 Workforce Management (WFM)
 
 experience (forecasting, scheduling, real-time monitoring).
 </li>
 <li>
 Advanced proficiency in
 
 Microsoft Excel
 
 (Pivot Tables, VLOOKUP, Macros preferred).
 </li>
 <li>
 Strong knowledge of
 
 SQL
 
 for data extraction and manipulation.
 </li>
 <li>
 Experience with reporting and visualization tools such as
 
 Power BI
 
 or
 
 Tableau
 
 .
 </li>
 <li>
 Solid understanding of contact center metrics (AHT, SLA, Service Level, Occupancy, etc.).
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with WFM tools (e.g., NICE, Verint, Aspect, Genesys).
 </li>
 <li>
 Knowledge of automation tools or scripting (Python is a plus).
 </li>
 <li>
 Experience working in a high-volume customer service environment.
 </li>
 </ul>
</div>

Data Analyst – Contact Center (WFM Specialist)

Role Overview: Design and manage scalable data infrastructure to support operational and analytical systems. Key Responsibilities:<ul><li>Build and maintain data pipelines and architectures</li><li>Ensure data quality, performance, and availability</li><li>Support real-time and batch data processing</li><li>Collaborate with IT, security, and operations teams</li></ul> Requirements:<ul><li>Degree in Computer Science / IT or related</li><li>8–10+ years in data engineering</li><li>Strong experience with databases and big data technologies</li></ul>

Infrastructure Data Engineer

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