sales manager

business analyst

marketing manager

project manager

finance manager

data science manager

HRsource

<div>
 <p>
  <strong>
   Title: Manager - Data Analytics
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Doha, Qatar
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-time
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Consulting | Technology | Data &amp; Analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  A leading consulting firm is looking to hire a
  <strong>
   Data Analytics Manager
  </strong>
  to lead their growing data practice in Qatar. This is a strategic role for a data-driven leader who can manage cross-functional teams, deliver robust analytics solutions, and drive business impact through data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The candidate must be experienced in implementing (on-premise/cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in the Microsoft stack - Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support data-driven initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Lead and mentor a team of data analysts and data scientists
  </li>
  <li>
   Design and implement end-to-end data strategies aligned with business goals
  </li>
  <li>
   Manage delivery of analytics projects, ensuring accuracy, quality, and timeliness
  </li>
  <li>
   Oversee development of data pipelines and cloud-based data warehouses (Azure, Databricks)
  </li>
  <li>
   Create dashboards and reports using Power BI, Tableau, or Looker
  </li>
  <li>
   Collaborate with senior stakeholders to translate data into actionable insights
  </li>
  <li>
   Ensure data quality, governance, and performance optimization across systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   8&ndash;12 years of experience in data analytics, with at least 3 years in a leadership role
  </li>
  <li>
   Strong technical background in Azure, SQL, Power BI, ETL pipelines, and data warehousing
  </li>
  <li>
   Proficiency in Python or R is a plus
  </li>
  <li>
   Proven success in managing data teams and driving cross-departmental collaboration
  </li>
  <li>
   Experience in consulting or professional services preferred
  </li>
  <li>
   Excellent communication and stakeholder engagement skills
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field (Master&rsquo;s is a plus)
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Why Apply
  </strong>
 </p>
 <ul>
  <li>
   Work on high-impact projects across international markets
  </li>
  <li>
   Collaborate with a global team of experts in analytics and technology
  </li>
  <li>
   Opportunity to shape and scale a strategic data function in the region
  </li>
  <li>
   Competitive compensation and flexible work model
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analytics Manager

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Manager Data Science | Revenue Management
</div></div><div><div>Ref #
</div><div>225623
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 30-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role</b></p>
<p>Welcome to a world where ambition propels success!</p>
<p>We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha</p>
<p>In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.</p>
<p>You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.</p>
<p>Specific responsibilities include:</p>
<ul><li>Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities</li>
<li>Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.</li>
<li>Collaborate with business and technology partners across various departments to deploy AI &amp; ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques</li>
<li>Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric</li>
<li>Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.</li>
<li>Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.</li>
<li>Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.</li>
<li>Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines</li>
<li>Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.</li>
<li>Coach and mentor team members for their development and successful project delivery</li>
<li>Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.</li>
</ul><p></p><p><b>Be part of an extraordinary story</b></p>
<p>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p>
<p>Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p>
<p>Together, everything is possible.</p>
</div></div></div></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you</b></p>
<p>The successful candidate will have the following skills and qualifications:</p>
<ul><li>Bachelor&rsquo;s degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.</li>
<li>Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods</li>
<li>Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.</li>
<li>Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.</li>
<li>Excellent programming skills in languages such as Python, R, or SQL.</li>
<li>Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)</li>
<li>Excellent leadership skills, communication and negotiation skills.</li>
<li>Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders</li>
<li>Ability to work collaboratively with cross-functional teams.</li>
<li>Strong command of English language</li>
</ul><p></p><p><b>About Qatar Airways Group</b>
</p><p>Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p>
<p>So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=225623</div></div></div></div></div></div></div></div>

Manager Data Science | Revenue Management

Anotech

<div>
 <p>
  Accountabilities:
 </p>
 <ul>
  <li>
   To participate in the development of data science strategy and tactics to support the company&rsquo;s strategic objectives to become a data driven company.
  </li>
  <li>
   To promote data science &amp; analytics to increase business insights to resolve business problems or support decisions making processes.
  </li>
  <li>
   Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
  </li>
  <li>
   Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
  </li>
  <li>
   To manage relationships with internal and external vendors for data science.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Education:
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Experience:
 </p>
 <ul>
  <li>
   Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
  </li>
  <li>
   Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
  </li>
  <li>
   GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Technical &amp; Soft Skills:
 </p>
 <ul>
  <li>
   Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
  </li>
  <li>
   Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
  </li>
  <li>
   Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
  </li>
  <li>
   Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
  </li>
  <li>
   Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
  </li>
  <li>
   Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
  </li>
  <li>
   Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
  </li>
  <li>
   Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
  </li>
  <li>
   Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
  </li>
  <li>
   Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Language proficiency:
 </p>
 <ul>
  <li>
   Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.
  </li>
 </ul>
</div>


Senior Data Scientist

<div><div><div><div><div><div><div><div>Job title
</div><div>Senior Manager &ndash; Data &amp; AI
</div></div><div><div>Ref #
</div><div>224521
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 04-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role:</b></p>
<p>Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data &amp; Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.</p>
<p><b>Key responsibilities</b></p>
<ul><li>Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data &amp; Al strategy (over a 3&ndash;5-year timeframe) to support the MATAR business strategy and growth plans.</li>
<li>Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.</li>
<li>Ensure that the Business Intelligence/Data Analytics &amp; Al platform complies with approved Data &amp; Al strategy and governance model.</li>
<li>Collaborate with senior stakeholders to drive innovation in Data &amp; Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.</li>
<li>Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.</li>
<li>Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.</li>
<li>Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.</li>
<li>Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.</li>
<li>Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.</li>
<li>Collaborate with cross-functional teams to support identification and the development of data &amp; Al-based solutions and to integrate them into existing systems and processes.</li>
<li>Plan and oversee the implementation of monitoring and reporting on the performance of data &amp; Al solutions, making recommendations for improvement as necessary.</li>
<li>Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.</li>
<li>Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.</li>
<li>Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.</li>
<li>Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.</li>
<li>Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.</li>
<li>Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.</li>
<li>Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.</li>
<li>Ensure compliance with MATAR IT Service Management (ISO 20000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).</li>
<li>Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.</li>
<li>Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR</li>
<li>Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.</li>
<li>Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.</li>
<li>Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.</li>
<li>Lead the development of annual and rolling budgets related to Data &amp; Al.</li>
<li>Perform other department duties related to his/her position as directed by the Head of the Department.</li>
<li>Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.</li>
<li>To build and lead a skilled and talented team for providing Data &amp; Al capabilities to MATAR in line with corporate objectives and values.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you:</b></p>
<ul><li>Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.</li>
<li>Experience in data management, performing data analytics &amp; developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.</li>
<li>Solid understanding of enterprise data analytics, data science &amp; Al.</li>
<li>Good understanding of Data Governance best practices.</li>
<li>Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.</li>
<li>Experience with deep learning frameworks such as Keras and Tensorflow.</li>
<li>Good understanding of Software Development Life Cycle and Software Quality Assurance processes.</li>
<li>Systems Implementation or Development leadership.</li>
<li>Project management certification or demonstrable experience.</li>
<li>Relationship Management.</li><br>
</ul></div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=224521</div></div></div></div></div></div></div></div>

Senior Manager – Data & AI

Hamad International Airport

<div>
 <p>
  <strong>
   <u>
    About the role:
   </u>
  </strong>
 </p>
 <p>
  Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data &amp; Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key responsibilities
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data &amp; Al strategy (over a 3&ndash;5-year timeframe) to support the MATAR business strategy and growth plans.
  </li>
  <li>
   Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.
  </li>
  <li>
   Ensure that the Business Intelligence/Data Analytics &amp; Al platform complies with approved Data &amp; Al strategy and governance model.
  </li>
  <li>
   Collaborate with senior stakeholders to drive innovation in Data &amp; Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.
  </li>
  <li>
   Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.
  </li>
  <li>
   Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.
  </li>
  <li>
   Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.
  </li>
  <li>
   Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.
  </li>
  <li>
   Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.
  </li>
  <li>
   Collaborate with cross-functional teams to support identification and the development of data &amp; Al-based solutions and to integrate them into existing systems and processes.
  </li>
  <li>
   Plan and oversee the implementation of monitoring and reporting on the performance of data &amp; Al solutions, making recommendations for improvement as necessary.
  </li>
  <li>
   Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.
  </li>
  <li>
   Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.
  </li>
  <li>
   Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.
  </li>
  <li>
   Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.
  </li>
  <li>
   Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.
  </li>
  <li>
   Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.
  </li>
  <li>
   Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.
  </li>
  <li>
   Ensure compliance with MATAR IT Service Management (ISO 20000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).
  </li>
  <li>
   Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.
  </li>
  <li>
   Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR
  </li>
  <li>
   Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.
  </li>
  <li>
   Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.
  </li>
  <li>
   Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.
  </li>
  <li>
   Lead the development of annual and rolling budgets related to Data &amp; Al.
  </li>
  <li>
   Perform other department duties related to his/her position as directed by the Head of the Department.
  </li>
  <li>
   Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.
  </li>
  <li>
   To build and lead a skilled and talented team for providing Data &amp; Al capabilities to MATAR in line with corporate objectives and values.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    About you:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.
  </li>
  <li>
   Experience in data management, performing data analytics &amp; developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.
  </li>
  <li>
   Solid understanding of enterprise data analytics, data science &amp; Al.
  </li>
  <li>
   Good understanding of Data Governance best practices.
  </li>
  <li>
   Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.
  </li>
  <li>
   Experience with deep learning frameworks such as Keras and Tensorflow.
  </li>
  <li>
   Good understanding of Software Development Life Cycle and Software Quality Assurance processes.
  </li>
  <li>
   Systems Implementation or Development leadership.
  </li>
  <li>
   Project management certification or demonstrable experience.
  </li>
  <li>
   Relationship Management.
  </li>
 </ul>
 <p>
 </p>
</div>


Candidzone

<p><b>W</b>e are hiring!</p><p><b>Project Manager Soft Services </b></p><ul><li>Minimum of 5 years of experience in cleaning operations, with at least 3 years in the GCC region.</li><li>Strong knowledge of cleaning techniques, procedures, and equipment.</li><li>Expertise in managing teams, client relationships, and operational workflows.</li><li>Proficient in creating and implementing Standard Operating Procedures (SOPs).</li><li>Knowledge of Material Safety Data Sheets (MSDS) and safe handling of cleaning chemicals.</li><li>BICSc (British Institute of Cleaning Science) training is highly advantageous.</li><li>Locally available in Qatar with a transferable visa and NOC.</li></ul><p>Job Types: Full-time, Permanent</p>

Project Manager Soft Services

Arab Solutions

<div>
 Microsoft Power BI &amp; Data Engineer
 <br/>
 <br/>
 Role Overview
 <br/>
 <br/>
 We are seeking an experienced
 <strong>
  Data Engineer
 </strong>
 with expertise in
 <strong>
  Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric
 </strong>
 to join our growing data engineering team. The ideal candidate will design, build, and optimize
 <strong>
  data pipelines, data lakes, and data warehouses
 </strong>
 on Azure to empower data scientists, analysts, and business stakeholders.
 <br/>
 <br/>
 This role involves leveraging
 <strong>
  ADF for ETL processes, Synapse for analytics, and Microsoft Fabric for modern data workflows
 </strong>
 to deliver scalable, secure, and efficient data solutions.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 Data Engineering &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF).
  </li>
  <li>
   Integrate ADF with external sources (SQL, NoSQL, REST APIs, flat files, Azure Blob, Data Lake).
  </li>
  <li>
   Implement data validation, transformation rules, and error handling within pipelines.
  </li>
  <li>
   Automate data movement and orchestration across storage, databases, and analytics platforms.
  </li>
  <li>
   Use Mapping Data Flows for advanced transformations and aggregations.
   <br/>
   <br/>
  </li>
 </ul>
 Data Warehousing &amp; Analytics
 <br/>
 <br/>
 <ul>
  <li>
   Build and manage data lakes and warehouses on Azure Synapse Analytics.
  </li>
  <li>
   Design serverless SQL pools, Spark pools, and data integration pipelines in Synapse Studio.
  </li>
  <li>
   Optimize Synapse performance for batch processing and real-time analytics.
  </li>
  <li>
   Develop OLAP and OLTP data models for reporting and exploration.
   <br/>
   <br/>
  </li>
 </ul>
 Microsoft Fabric Workflows
 <br/>
 <br/>
 <ul>
  <li>
   Implement Microsoft Fabric for end-to-end data integration across Azure services.
  </li>
  <li>
   Leverage Fabric&rsquo;s Lakehouses, Warehouses, and Data Pipelines for analytics and AI-driven insights.
  </li>
  <li>
   Enable collaborative workflows across data engineering, data science, and BI teams.
  </li>
  <li>
   Build self-service BI solutions within Fabric to empower business users.
   <br/>
   <br/>
  </li>
 </ul>
 Cloud Architecture, Governance &amp; Security
 <br/>
 <br/>
 <ul>
  <li>
   Design cloud-native architectures for scalable and cost-effective data systems.
  </li>
  <li>
   Ensure data governance, security, and compliance (GDPR, CCPA).
  </li>
  <li>
   Implement RBAC, encryption, and Azure Purview for data cataloging, lineage, and auditing.
  </li>
  <li>
   Optimize data storage, compute resources, and ensure high availability.
   <br/>
   <br/>
  </li>
 </ul>
 Automation &amp; DevOps
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Azure Pipelines.
  </li>
  <li>
   Automate workflows with Azure Logic Apps and Power Automate.
  </li>
  <li>
   Monitor and troubleshoot pipeline performance to minimize downtime.
  </li>
  <li>
   Continuously improve data engineering processes for automation, scalability, and maintainability.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration &amp; Reporting
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with cross-functional teams including data scientists, analysts, and business stakeholders.
  </li>
  <li>
   Provide Power BI integration for advanced dashboards and reporting.
  </li>
  <li>
   Support AI/ML workflows using Azure Machine Learning when required.
  </li>
  <li>
   Report to the Project Manager and execute assigned data engineering tasks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   6+ years of hands-on experience in data engineering and cloud data architecture.
  </li>
  <li>
   Strong expertise in:
  </li>
  <ul>
   <li>
    Azure Data Factory (ADF) &ndash; ETL and pipelines
   </li>
   <li>
    Azure Synapse Analytics &ndash; data lakes, warehouses, modeling, analytics
   </li>
   <li>
    Microsoft Fabric &ndash; data integration, lakehouses, warehouses, and collaborative workflows
   </li>
  </ul>
  <li>
   Proficiency in SQL / T-SQL and Azure SQL Database.
  </li>
  <li>
   Knowledge of Azure Blob, Data Lake, and Azure SQL storage.
  </li>
  <li>
   Experience with Hadoop, Spark, Databricks within Azure ecosystems.
  </li>
  <li>
   Familiarity with DevOps practices, CI/CD pipelines, and automation.
  </li>
  <li>
   Strong background in data governance, quality, and security in cloud environments.
  </li>
  <li>
   Exposure to Power BI, Azure ML, or other BI/AI tools (preferred).
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Certifications (Not Mandatory)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Certified: Azure Data Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure Synapse Analytics
  </li>
  <li>
   Microsoft Certified: Azure AI Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure Solutions Architect Expert
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 📌
 <strong>
  Location
 </strong>
 : Onsite/Hybrid (as per project requirement)
 <br/>
 <br/>
 📌
 <strong>
  Reporting To
 </strong>
 : Project Manager
 <br/>
 <br/>
 📌
 <strong>
  Work Schedule
 </strong>
 : Standard office hours (flexibility as per project needs)
 <br/>
 <br/>
 Skills: azure,power bi,transact-sql (t-sql),data lake,adf,ai/ml,cloud architecture,rbac,olap,etl pipelines
</div>


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