data analyst

data scientist

senior data engineer

applied ai engineer

data architect

cloud data engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
About the Role
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack &mdash; Kafka, Google Cloud Platform (GCP), AWS &mdash; to design and maintain the pipelines that power analytics, machine learning, and product insights.
This is an IC2-level role, ideal for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.
If you don&rsquo;t know every tool in our stack yet &mdash; that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.
What's On Your Plate?<ul><li>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</li><li>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</li><li>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</li><li>
Orchestrate workflows using tools like Airflow or similar schedulers.</li><li>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</li><li>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</li><li>
Optimize for cost and performance across cloud environments.</li><li>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</li></ul> 

Our Tech Stack<ul><li>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</li><li>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</li><li>
Workflow Orchestration: Apache Airflow</li><li>
Programming Languages: Python, SQL, (bonus: Java/Scala)</li><li>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</li><li>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</li></ul> 
Qualifications 
What Did We Order?
What We&rsquo;re Looking For<ul><li>
Experience (1&ndash;3 years) in data engineering, software engineering, or a related field.</li><li>
Proficiency in SQL and at least one programming language (Python preferred).</li><li>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</li><li>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</li><li>
Comfort working in cloud environments (GCP, AWS, or Azure).</li><li>
Strong communication skills &mdash; able to explain technical concepts to non-technical audiences.</li><li>
Growth mindset &mdash; eager to learn, adapt, and take on new challenges. 
</li></ul>Nice-to-Have (But Not Required and willing to learn)<ul><li>
Experience with infrastructure-as-code (Terraform, CloudFormation).</li><li>
Exposure to containerization (Docker, Kubernetes).</li><li>
Knowledge of data governance, security, and compliance best practices.</li></ul> 
Additional Information 
Why You&rsquo;ll Love Working Here<ul><li>
Impact: Your work will directly influence how data powers decisions across the company.</li><li>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</li><li>
Modern stack: Work with cutting-edge tools and cloud platforms.</li><li>
Collaboration: Partner with talented engineers, analysts, and product managers.</li><li>
Flexibility: We care about outcomes, not where you work from.</li></ul>
Our Hiring Philosophy
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</div>

Data Engineer II

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE (Onsite)
 
 
 
 Employment Type:
 
 Full-Time, Permanent
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled
 
 Senior Data Engineer
 
 with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable, and high-performance data pipelines.
 </li>
 <li>
 Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.
 </li>
 <li>
 Implement data models and warehouse solutions with a focus on Snowflake.
 </li>
 <li>
 Integrate and process data from diverse sources including SQL and NoSQL databases.
 </li>
 <li>
 Ensure data quality, governance, and security standards are maintained across all systems.
 </li>
 <li>
 Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.
 </li>
 <li>
 Work closely with business stakeholders to translate requirements into data engineering solutions.
 </li>
 <li>
 Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Experience: 7&ndash;10+ years of professional experience in data engineering.
 </li>
 <li>
 Programming: Proficiency in Python (mandatory).
 </li>
 <li>
 Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).
 </li>
 <li>
 Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).
 </li>
 <li>
 Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.
 </li>
 <li>
 Big Data: Experience handling large volumes of structured and unstructured data.
 </li>
 <li>
 Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.
 </li>
 <li>
 Collaborative work environment with cross-functional teams in cloud, data, and ML domains.
 </li>
 <li>
 Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.
 </li>
 </ul>
</div>

Senior Data Engineer

NorthBay Solutions

<div>Job Title: Senior Data Engineer 
Location: Abu Dhabi, UAE (Onsite) 
Employment Type: Full-Time, Permanent<h3 class="jobSectionHeader">
About the Role</h3>
We are seeking a highly skilled Senior Data Engineer with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain scalable, reliable, and high-performance data pipelines.</li><li>
Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.</li><li>
Implement data models and warehouse solutions with a focus on Snowflake.</li><li>
Integrate and process data from diverse sources including SQL and NoSQL databases.</li><li>
Ensure data quality, governance, and security standards are maintained across all systems.</li><li>
Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.</li><li>
Work closely with business stakeholders to translate requirements into data engineering solutions.</li><li>
Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Experience: 7&ndash;10+ years of professional experience in data engineering.</li><li>
Programming: Proficiency in Python (mandatory).</li><li>
Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).</li><li>
Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).</li><li>
Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.</li><li>
Big Data: Experience handling large volumes of structured and unstructured data.</li><li>
Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.</li></ul><h3 class="jobSectionHeader">
Why Join Us</h3><ul><li>
Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.</li><li>
Collaborative work environment with cross-functional teams in cloud, data, and ML domains.</li><li>
Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.</li></ul>
YzBo50s7qA</div>

Virtusa

<div>
 Projects experience in Banking or junior level data science experience
 
 
 Candidate should have 4+ BA with Banking experience
 
 
 <ul>
 <li>
 Candidate should have Experience in Data analytics
 </li>
 <li>
 Candidate should have experience in CDP(cloud data platform) applications like CDE(Cloud Data Engineering) , CDW(cloud Datawarehouse)-Cloud Era /Azure data lake
 </li>
 <li>
 Candidate should have experience in Business data models
 </li>
 <li>
 Candidate should have experience in SQL quires writing
 </li>
 <li>
 Candidate should have experience in retail banking
 </li>
 <li>
 Candidate should have the experience in Impala, Hive DB&rsquo;s
 </li>
 <li>
 Candidate should have experience in Digital controllers experience
 </li>
 <li>
 Good to have Python scripting knowledge
 </li>
 <li>
 Good to have pyspark knowledge
 
 
 </li>
 </ul>
 
 About Virtusa
 
 
 
 Add the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs.
 
 
 Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar &amp; Oman and we work with the leading Banking and Financial Services, Travel, Telecom and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC and other analyst for the work that we have delivered to our clients in the region.
 
 
 Why would you not like to be part of this exciting and award winning team? Don&rsquo;t listen to us, listen to our customers
 
 
 (https://www.youtube.com/watch?v=JrDNtTLKkPc; &amp; https://www.youtube.com/watch?v=MhzhZt1GJvM)
 
 
 Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000+ people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
</div>

Data Analyst with BA

Naffco

<div></div><div>Experience: 2 - 8 yrs. | Opening: 1
 
Education:Any Graduation 
Nationality: Any Nationality 
Industry Type:Industrial Products / Heavy Machinery 
Functional Area:Software Development / Application Development (IT Software) Sep 16,2025 
<div><div>
</div></div><div></div><h3 class="jobSectionHeader">Job Description</h3>
<div>Job Purpose:
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle &mdash; from model training to deployment &mdash; ensuring scalable and business-aligned solutions.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>AI Module Development &amp; Integration &ndash; Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</li><li>Machine Learning Model Lifecycle &ndash; Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</li><li>System &amp; Platform Integration &ndash; Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</li><li>Model Training&ndash; Prepare data, select algorithms, and train models with high accuracy and scalability.</li><li>Production Deployment &ndash; Deploy, monitor, and optimize ML models in production environments (cloud and edge).</li><li>Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</li></ul><h3 class="jobSectionHeader"> 
Qualifications &amp; Skills:</h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).</li><li>Proven hands-on experience in ML model training and production deployment.</li><li>Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).</li><li>Experience in data engineering &amp; API integration.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).</li></ul><h3 class="jobSectionHeader">
Key Competencies:</h3><ul><li>End-to-end ownership of ML model lifecycle.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to bridge technical solutions with business impact.</li></ul> 

</div><div>Keyword: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch</div></div>

AI Module Development Engineer – IoT & Digital Platforms

Fractal Analytics

<div><div>It's fun to work in a company where people truly BELIEVE in what they are doing!</div><div></div><div>
We're committed to bringing passion and customer focus to the business.</div><div></div><div>
Brief About Fractal :</div><div>
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500&reg; companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies.</div><div></div><div>
Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work&reg; Institute; featured as a leader in Customer Analytics Service Providers Wave&trade; 2021, Computer Vision Consultancies Wave&trade; 2020 &amp; Specialized Insights Service Providers Wave&trade; 2020 by Forrester Research Inc., a leader in Analytics &amp; AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant</div><div> 
Job Description:</div><ul><li>
Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.</li><li>
Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.</li><li>
Participate in early state design and feature definition activities.</li><li>
Responsible for implementing robust data pipeline using Microsoft Azure stack.</li><li>
Responsible for creating reusable and scalable data pipelines.</li><li>
Understanding of RCA process.</li><li>
Monitoring and managing data ingestion and processing workloads through technologies mentioned above.</li><li>
Eye for detail to identify areas of improvements in existing solutions.</li><li>
Strong communication and articulation. Constant connects with business and other stakeholders is important.</li><li>
Proactive issue identification and resolution.</li><li>
Troubleshooting issues, providing work around and permanent fixes.</li><li>
Managing and tracking incidents and SRs.</li><li>
Developing innovative automation solutions and reduce manual intervention.</li><li>
Building complex data ingestion workloads, solution design improvements, optimization of processes and supporting ad-hoc requests.</li><li>
Advanced working knowledge and experience with relational and non-relational databases.</li><li>
Experience building and optimizing big data pipelines, architectures and data sets.</li><li>
Strong analytic skills related to working with unstructured datasets.</li></ul><div> 
Mandatory Technical Skills:</div><ul><li>
Azure Data Factory</li><li>
Azure Databricks (Python, Pyspark, Spark SQL)</li><li>
Azure Storage Account</li><li>
Azure Logic Apps (good to have)</li><li>
Azure SQL Server</li><li>
Azure Synapse</li><li>
Eventhub</li><li>
Azure DevOps experience to deploy the ADF pipelines</li></ul><div></div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div><div></div><div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div></div></div>

Azure Lead Architect

almulla holding llc

We are seeking a highly skilled and innovative Computer Engineer with expertise in cloud technologies, cybersecurity, and artificial intelligence (AI). The ideal candidate will design, implement, and manage secure, scalable cloud-based systems while leveraging AI solutions to enhance business efficiency and security. This role requires a strong foundation in system architecture, security frameworks, and emerging AI-driven technologies.Key Responsibilities<ul><li>Cloud Engineering</li><li>Design, deploy, and manage applications and services on leading cloud platforms (AWS, Azure, GCP).</li><li>Ensure high availability, scalability, and performance of cloud-based infrastructure.</li><li>Optimize cloud costs and resource usage.</li><li>Cybersecurity</li><li>Implement and monitor robust cybersecurity frameworks, policies, and controls.</li><li>Conduct risk assessments, vulnerability testing, and incident response.</li><li>Safeguard systems and data against unauthorized access, breaches, and cyber threats.</li><li>Artificial Intelligence (AI)</li><li>Develop and integrate AI/ML models into business applications.</li><li>Work on data preprocessing, model training, and deployment.</li><li>Explore automation and predictive analytics opportunities for organizational improvement.</li><li>General Engineering</li><li>Collaborate with cross-functional teams (developers, analysts, business leaders) to deliver technology solutions.</li><li>Stay updated with the latest in cloud, security, and AI advancements.</li><li>Provide technical mentorship and training to junior engineers.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Engineering, Computer Science, or related field.</li><li>Proven experience (X+ years) in cloud computing (AWS/Azure/GCP), cybersecurity, and AI/ML.</li><li>Strong knowledge of programming languages (Python, Java, C++, etc.).</li><li>Hands-on experience with containerization (Docker, Kubernetes) and DevOps practices.</li><li>Familiarity with security standards (ISO 27001, NIST, GDPR compliance, etc.).</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Job Type: Full-time

Computer Engineer

Explore 3165+ Cloud data engineer in Dubai this September. Find roles across top companies and apply now to boost your career.

3165 cloud data engineer jobs IN Dubai

Data Engineer II

Senior Data Engineer

Senior Data Engineer

Data Analyst with BA

AI Module Development Engineer – IoT & Digital Platforms

Azure Lead Architect

Computer Engineer