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De Montfort University Dubai

<div><div><b>De Montfort University Dubai</b> is an ambitious, globally minded university committed to delivering high-quality teaching and learning. We offer a sector-leading student experience, supported by award-winning teaching and world-class facilities that help students develop the skills and attitudes employers demand.</div><div></div><div><b><br>
Faculty/Directorate</b></div><div>
The Faculty of Computing, Engineering and Media is known for teaching excellence across undergraduate, postgraduate, and professional courses. Excellent teaching is central to our commitment to professional, creative, and vocational education.</div><div>
</div><div><b>
The Role</b></div><div>
We are seeking a <b>Lecturer or Senior Lecturer (Adjunct Faculty)</b> in Data Analytics to provide high-quality teaching at postgraduate level. The role includes teaching the following modules:</div><div></div><div><b><br>
Block 1 &ndash; CSIP5102D: Data Analytics Infrastructure (Data Warehouse Stream)</b></div><ul><li>
Duration: 6 weeks (starting 29th September 2025)</li><li>
Total: 30 hours (5 hours/week, 3 evenings per week)</li><li>
Time: 6:30 PM &ndash; 9:30 PM</li><li>
Required Software Knowledge: Oracle APEX, SQL, MySQL, Python</li></ul><div></div><div><b><br>
Block 2 &ndash; CSIP5203D: Big Data Applications</b></div><ul><li>
Duration: 6 weeks (starting 24th November 2025)</li><li>
Total: 60 hours (10 hours/week, 3 evenings per week)</li><li>
Time: 6:30 PM &ndash; 9:30 PM</li><li>
Required Software Knowledge: Hadoop, Apache Spark, CloudX, Python, Kaggle</li></ul><div></div><div><b><br>
Additional Responsibilities:</b></div><ul><li>
Assessment preparation, evaluations, invigilation, and external examiner document preparation</li><li>
Supporting students requiring additional assistance</li><li>
2 compensated admin hours per week</li></ul><div></div><div><b><br>
Important Notes:</b></div><ul><li>
Total teaching load may be assigned to one adjunct faculty member or shared across multiple adjuncts depending on availability.</li><li>
This is an <b>hourly-paid adjunct faculty position</b>.</li></ul><div>
</div><div><b>
Candidate Requirements</b></div><div><b>
Qualifications (Required):</b></div><ul><li>
PhD in Computer Science, Data Analytics, Data Science, Data Engineering, or a closely related discipline</li><li>
All qualifications must be attested by the UAE Ministry of Education and accompanied by an Equivalency Certificate</li></ul><div></div><div><b><br>
Experience:</b></div><ul><li>
0&ndash;2 years of teaching or relevant industry experience for Lecturer roles</li><li>
Experience delivering applied lab-based sessions and academic assessments</li><li>
Familiarity with higher education systems (UK preferred), blended or digital teaching delivery</li><li>
Experience in curriculum development and module leadership (required for Senior Lecturer)</li></ul><div></div><div><b><br>
Skills &amp; Attributes:</b></div><ul><li>
Strong interpersonal and communication skills</li><li>
Competency in delivering technical content using diverse tools and platforms</li><li>
Ability to teach and assess across a range of Data Analytics disciplines</li><li>
Commitment to student engagement, academic excellence, and ongoing professional development</li><li>
Team-oriented approach and leadership potential (Senior Lecturer)</li></ul><div></div><div><b><br>
Specialist Duties &amp; Knowledge:</b></div><ul><li>
Proficiency in Data Analytics software &amp; tools such as SAS EG/EM, SPSS, Tableau, Power BI, Oracle SQL, MySQL, Oracle APEX, Hadoop, Apache Spark, CloudX, Python, R</li><li>
Record of good research publications</li><li>
Experience in student support, recruitment, and community engagement</li></ul><div></div><div><b><br>
Desirable Criteria:</b></div><ul><li>
Industry experience with domain expertise</li><li>
Experience supporting projects, conferences, and journal publications</li><li>
Teaching excellence certification (e.g., Fellowship HEA)</li></ul><div></div><div><b><br>
Why Join DMU Dubai?</b></div><div>
DMU Dubai is a branch campus of DMU Leicester, UK, delivering British higher education standards in a modern, multicultural environment. As an Adjunct Faculty in Data Analytics, you will play a vital role in preparing the next generation of computing professionals while contributing to transnational education excellence and industry-relevant learning experiences.</div></div><div></div>

Adjunct Faculty - Data Analytics - CEM

DP World

<div><p><b>KEY RESPONSIBILITY
</b></p><ul><li>Support the Director in building and maintaining robust data architecture and solutions
</li><li>Design, construct, install, and maintain large-scale processing systems and data pipelines
</li><li>Extract, transform, and load (ETL) data from a wide variety of sources
</li><li>Implement data governance and data quality best practices
</li><li>Assist in optimizing query performance and monitoring system health
</li><li>Collaborate with data scientists, analysts, and business teams for data enablement
</li>Document data processes and system designs for transparency and scalability<br>
<li>
</li></ul><p></p><p><b>TECHNICAL COMPETENCIES
</b></p><ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect)<br>
<li>
</li></ul><p></p><p><b>QUALIFICATIONS, EXPERIENCE AND SKILLS
</b></p><p><b>Qualification: </b>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field
</p><p><b>Desirable Qualification: </b>Master&rsquo;s in Data Engineering, Computer Science, or related discipline
</p><p><b>Work Experience: </b>3&ndash;5 years of hands-on experience in data engineering or data infrastructure roles
</p><p><b>Technical Skills:
</b></p><ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect)<br>
<li>
</li></ul><p></p><p>#LI-RA1</p></div><p></p>

DATA ENGINEER

Green & More Landscape Gardening LLC

<p><b>Civil Engineer Job Responsibilities:</b></p><ul><li>Completes construction projects by preparing engineering design and documents and confirming specifications.</li><li>Designs construction projects by studying project concepts, architectural drawings, and models.</li><li>Prepares engineering design by collecting and studying reports, maps, drawings, blueprints, aerial photographs, and tests on soil composition, terrain, hydrological characteristics, and related topographical and geologic data.</li><li>Determines project costs by calculating labor, material, and related costs.</li><li>Creates feasibility study by analyzing engineering design, conducting environmental impact studies, and assembling data.</li><li>Produces engineering documents by developing construction specifications, plans, and schedules.</li><li>Confirms adherence to construction specifications and safety standards by monitoring project progress, inspecting construction sites, and verifying calculations and placements.</li><li>Fulfills project requirements by training and guiding operators.</li><li>Maintains operations by enforcing project and operational policies and procedures.</li><li>Provides engineering information by answering questions and requests.</li><li>Complies with federal, state, and local legal requirements by studying existing and new legislation; anticipating future legislation; enforcing adherence to requirements; and advising management on needed actions.</li><li>Maintains project database by writing computer programs, entering data, and completing backups.</li><li>Contributes to team effort by accomplishing related results as needed.</li></ul><p><b>Civil Engineer Qualifications/Skills:</b></p><ul><li>CAD and AutoCAD proficiency</li><li>Design skills</li><li>Site development</li><li>Database design</li><li>Planning</li><li>Conceptual skills</li><li>Legal compliance</li><li>Problem solving</li></ul><p><b>Education, Experience, and Licensing Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in civil/structural engineering.</li><li>DM Approved</li><li>Registered Member of Society of Engineer</li><li>5 to 8 years of engineering experience.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you DM Approved Engineer?</li><li>Are you a registered member of the Society of Engineers?</li></ul><p>Experience:</p><ul><li>civil engineer: 5 years (Preferred)</li></ul>

Civil Engineer

Capgemini Engineering

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 <br/>
 <br/>
 Your Role
 <br/>
 <br/>
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 <br/>
 <br/>
 <strong>
  Key Responsibilities Of This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and preprocess structured and unstructured data from various sources.
  </li>
  <li>
   Develop and implement statistical models, machine learning algorithms, and data mining techniques.
  </li>
  <li>
   Perform exploratory data analysis to identify trends, patterns, and anomalies.
  </li>
  <li>
   Translate business problems into analytical solutions and communicate findings effectively.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data science solutions into business processes.
  </li>
  <li>
   Create visualizations and dashboards to present insights to stakeholders.
  </li>
  <li>
   Continuously monitor model performance and update models as needed.
  </li>
  <li>
   Document methodologies, experiments, and results for reproducibility and knowledge sharing.
   <br/>
   <br/>
  </li>
 </ul>
 Your Profile
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
  </li>
  <li>
   2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
  </li>
  <li>
   Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
  </li>
  <li>
   Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
  </li>
  <li>
   Strong understanding of statistical analysis, predictive modeling, and data wrangling.
  </li>
  <li>
   Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
  </li>
  <li>
   Excellent problem-solving and communication skills.
  </li>
  <li>
   Experience with Agile/Scrum methodologies is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Love About Working Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
  </li>
  <li>
   Career Growth Opportunities&mdash;Access diverse roles and career development programs.
  </li>
  <li>
   Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
   <br/>
   <br/>
  </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>


Data Scientist

<div><p>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
</p><div><div><div><h2 class="jobSectionHeader"><b>Your Role
</b></h2></div><div><p>We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
</p><p><b>Key responsibilities of this role:
</b></p><ul><li>Collect, clean, and preprocess structured and unstructured data from various sources.
</li><li>Develop and implement statistical models, machine learning algorithms, and data mining techniques.
</li><li>Perform exploratory data analysis to identify trends, patterns, and anomalies.
</li><li>Translate business problems into analytical solutions and communicate findings effectively.
</li><li>Collaborate with cross-functional teams to integrate data science solutions into business processes.
</li><li>Create visualizations and dashboards to present insights to stakeholders.
</li><li>Continuously monitor model performance and update models as needed.
</li><li>Document methodologies, experiments, and results for reproducibility and knowledge sharing.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile
</b></h2></div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
</li><li>2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
</li><li>Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
</li><li>Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
</li><li>Strong understanding of statistical analysis, predictive modeling, and data wrangling.
</li><li>Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
</li><li>Excellent problem-solving and communication skills.
</li><li>Experience with Agile/Scrum methodologies is a plus.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>What You&rsquo;ll Love About Working Here<br>
</b></h2></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Etihad Credit Bureau

<div>
 <p>
  <strong>
   JOB DESCRIPTION SUMMARY
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   KEY DUTIES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Production Model Maintenance:
   </strong>
   Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
  </li>
  <li>
   <strong>
    Platform Orchestration:
   </strong>
   Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
  </li>
  <li>
   <strong>
    High-Availability Engineering:
   </strong>
   Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
  </li>
  <li>
   <strong>
    Release Management:
   </strong>
   Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
  </li>
  <li>
   <strong>
    Model Governance:
   </strong>
   Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
  </li>
  <li>
   <strong>
    Incident Response:
   </strong>
   Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
  </li>
  <li>
   <strong>
    Infrastructure Optimization:
   </strong>
   Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
  </li>
  <li>
   <strong>
    Vendor Management:
   </strong>
   Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION &amp; SKILLS
  </strong>
 </p>
 <ol>
  <li>
   Educated with at least bachelor&rsquo;s degree or equivalent in related field
  </li>
  <li>
   Education specialization or master&rsquo;s degree in computer science, Software Engineering
  </li>
  <li>
   Proficient in English
  </li>
  <li>
   Preferred proficiency in Arabic
  </li>
  <li>
   In-depth knowledge of React Native and Next JS and related modules, components and libraries
  </li>
  <li>
   Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EXPERIENCE &amp; KNOWLEDGE
  </strong>
 </p>
 <ol>
  <li>
   Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
  </li>
  <li>
   2+ years in Data Science or Software Engineering experience
  </li>
  <li>
   2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
  </li>
  <li>
   Strong problem-solving skills and the ability to resolve issues efficiently.
  </li>
  <li>
   CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
  </li>
  <li>
   Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABILITIES &amp; SPECIFIC REQUIREMENTS
  </strong>
 </p>
 <ol>
  <li>
   Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
  </li>
  <li>
   Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
  </li>
  <li>
   Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
  </li>
  <li>
   Credit bureau data structures (tradelines, inquiries, public records)
  </li>
  <li>
   Model risk management (MRM) standards
  </li>
  <li>
   Azure Solutions Architect or MLOps certifications
  </li>
  <li>
   Experience with financial services-grade SLAs (99.9% uptime) and outage management
  </li>
  <li>
   Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
  </li>
  <li>
   Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
  </li>
  <li>
   Knowledge of new and upcoming AI tools
  </li>
  <li>
   This is contained within the earlier requirement of python. If the plan is for this resource
  </li>
  <li>
   Excellent written and verbal communication skills English
  </li>
  <li>
   Strong interpersonal skills with the ability to engage and build relationships
  </li>
  <li>
   Crisis management under pressure
  </li>
  <li>
   Cross-functional collaboration with data science/risk teams
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
  </li>
  <li>
   Ability to develop and document procedures, roles, and guidelines.
  </li>
  <li>
   <strong>
    Security and Compliance
   </strong>
   Especially in financial services, mention data security, PII handling, and compliance with regulations
  </li>
 </ol>
</div>


Machine Learning Engineer (Contract - For Immediate Hire)

Infinite Uptime India Pvt. ltd.

<div><h3 class="jobSectionHeader"><b>Job Summary</b></h3><div>
The Senior Reliability Engineer - Reliability Engineering will be responsible for ensuring the health, reliability, and efficiency of rotating equipment across various process industries. This individual will provide advanced condition monitoring services and will be pivotal in driving customer satisfaction through the implementation of predictive maintenance strategies. The ideal candidate will bring in-depth expertise in reliability engineering and excellent communication skills to engage with customers effectively, ensuring measurable business value.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><b>
Reliability &amp; Maintenance</b>: Lead the reliability initiatives for rotating equipment, ensuring optimal performance and minimal downtime.</li><li><b>
Condition Monitoring</b>: Implement and oversee condition monitoring programs to detect equipment health anomalies early, ensuring timely interventions.</li><li><b>
Installation &amp; Commissioning</b>: Manage the installation, commissioning, and maintenance of condition monitoring systems on client sites.</li><li><b>
Customer Engagement</b>: Build strong relationships with clients through excellent communication and consulting skills, ensuring high levels of customer satisfaction.</li><li><b>
Data Analysis</b>: Analyze data from condition monitoring systems, generate reports, and provide actionable insights to clients.</li><li><b>
Network Integration</b>: Coordinate with the client's maintenance and IT teams to ensure seamless integration of condition monitoring networks.</li><li><b>
Consultative Approach</b>: Engage with clients at senior management levels to demonstrate measurable ROI and business impact.</li><li><b>
Training</b>: Provide training to client personnel on best practices in reliability engineering and use of condition monitoring tools.</li><li><b>
Collaboration</b>: Work closely with cross-functional teams, including sales, engineering, and technical support, to ensure customer needs are met.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Key Qualifications</b></h3><ul><li><b>
Education</b>: Bachelor's degree in Mechanical Engineering or related field.</li><li><b>
Experience</b>: Minimum of 8 years of experience in reliability engineering, particularly with rotating equipment and condition monitoring. CAT Level 2 Certification required.</li><li><b>
Technical Expertise</b>: Strong knowledge of predictive maintenance strategies, including condition monitoring techniques (vibration analysis, thermography, oil analysis).</li><li><b>
Industry Knowledge</b>: Hands-on experience in the process industry, with a deep understanding of industrial reliability challenges.</li><li><b>
Customer Skills</b>: Excellent communication and interpersonal skills, with a proven ability to engage and build relationships with customers.</li><li><b>
Analytical Skills</b>: Strong data analysis capabilities with experience using condition monitoring software.</li><li><b>
Travel</b>: Willingness to travel to client locations within KSA and surrounding regions as required.</li></ul></div><div></div>

Senior Reliability Engineer (KSA)

Explore 3849+ Data engineering in Dubai this September. Find roles across top companies and apply now to boost your career.

3849 data engineering jobs IN Dubai

Adjunct Faculty - Data Analytics - CEM

DATA ENGINEER

Civil Engineer

Data Scientist

Data Scientist

Machine Learning Engineer (Contract - For Immediate Hire)

Senior Reliability Engineer (KSA)