project engineer

planning engineer

sales engineer

production engineer

data analyst

data pipeline engineer

American University in the Emirates

<div><p>The American University in the Emirates is seeking a highly skilled and motivated <b>Data Engineer</b> to join our Institutional Effectiveness and Data Analytics team. The successful candidate will design and implement <b>data pipelines</b> to support strategic decision-making, institutional research, accreditation, and academic/administrative operations. The role involves building <b>data ingestion frameworks</b> from multiple sources, preparing datasets for <b>AI, predictive analysis, clustering, and classification models</b>, and developing <b>visualizations, KPIs, and scorecards</b> for executive reporting.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, develop, and maintain <b>data pipelines</b> for ingestion, transformation, and integration from diverse sources (databases, APIs, cloud systems, ERP, LMS, CRM, etc.).</li>
<li>Build and optimize <b>ETL/ELT workflows</b> to ensure data accuracy, consistency, and availability.</li>
<li>Create <b>dashboards, KPIs, and scorecards</b> using <b>Power BI and other visualization tools</b> to support academic, administrative, and executive stakeholders.</li>
<li>Develop <b>predictive models, clustering, and classification algorithms</b> for student success, enrollment forecasting, and operational insights.</li>
<li>Experience deploying ML models in production using Docker, Kubernetes, and serverless frameworks.</li>
<li>Familiar with monitoring tools such as Prometheus, Grafana, and Langfuse for real-time tracking, alerting, and performance diagnostics.</li>
<li>Collaborate with academic and administrative departments to identify analytical needs and transform them into scalable data solutions.</li>
<li>Ensure <b>data governance, security, and compliance</b> with university and regulatory policies.</li>
<li>Support <b>AI-driven initiatives</b> in institutional research, student engagement, and accreditation compliance.</li>
<li>Continuously evaluate emerging tools and methodologies for <b>data engineering, visualization, and analytics</b>.</li></ul><br>
<p></p>
<p><b>
Required Skills &amp; Competencies</b></p>
<ul>
<li>Strong proficiency in <b>data engineering and pipeline design</b> (ETL/ELT).</li>
<li>Expertise in <b>SQL, Python</b> for data processing and analytics.</li>
<li>Experience with <b>cloud data platforms</b> (Azure Data Factory, AWS Glue, or GCP BigQuery) preferred.</li>
<li>Solid understanding of <b>machine learning techniques</b>: regression, classification, clustering, and predictive analysis.</li>
<li>Advanced skills in <b>data visualization and BI tools</b>: Power BI, Tableau.</li>
<li>Ability to design and develop <b>KPI dashboards, scorecards, and executive reports</b>.</li>
<li>Familiarity with <b>data governance, quality, and metadata management</b>.</li>
<li>Strong problem-solving skills with the ability to translate business questions into analytical models.</li>
<li>Excellent communication and collaboration skills to work with academic and administrative stakeholders.</li></ul><br>
<div>
</div><p><b>Qualifications</b></p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Data Science, Computer Science, Information Systems, Statistics, or related field</b>.</li>
<li><b>3&ndash;5 years of experience</b> in data engineering, analytics, or business intelligence (experience in higher education preferred).</li>
<li>Hands-on experience with <b>AI/ML libraries</b> (scikit-learn, TensorFlow, PyTorch, etc.) is an advantage.</li>
<li>Proven track record of building <b>data models, pipelines, and visualization dashboards</b>.</li>
<li>Certification in <b>Azure Data Engineer, AWS Data Analytics, or Tableau/Power BI</b> is a plus.</li></ul><br>
<div>
</div><p><b>Preferred Attributes</b></p>
<ul>
<li>Experience working in an <b>academic/university setting</b> with exposure to <b>student information systems and accreditation reporting</b>.</li>
<li>Knowledge of <b>institutional research methodologies</b> and KPI frameworks.</li>
<li>Strong passion for <b>leveraging data for student success and organizational excellence</b>.</li></ul><br>
<p></p>
<p><b>
About American University in the Emirates (AUE):</b></p>
<p>
The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.</p>
<p>
AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.</p>
<p><b>
At AUE, we believe Nothing is Impossible is the Pathway to Success</b></p>
<p>
AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.</p>
<p>
The American University in the Emirates is accredited by <b>SACSCOC</b> (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master&rsquo;s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels</p>
<p>
The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.</p>
<p>
The <b>College of Business Administration</b> is a proud member of <b>AACSB</b> (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by <b>AACSB</b>) as of 2022.</p>
<p>
The Bachelor of Computer Science in the College of <b>Computer Information Technology</b> is accredited by the Computing Accreditation Commission of <b>ABET</b>.</p>
<p><b>
NASAD</b> (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the <b>College of Design</b>, the designation of Substantial Equivalency with accredited programs in the United States.</p></div><p></p>

Data Engineer – Analytics & AI

Delivery Hero

<div><b>Company Description</b><p><br>
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.<br>
</p><p>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.<br>
</p><p>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.</p><b><br>
Job Description</b><p><b><br>
About the Role</b></p><p>
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.</p><p>
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.</p><p>
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.</p><p><b>
What's On Your Plate?</b></p><ul><li><p>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</p></li><li><p>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</p></li><li><p>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</p></li><li><p>
Orchestrate workflows using tools like Airflow or similar schedulers.</p></li><li><p>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</p></li><li><p>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</p></li><li><p>
Optimize for cost and performance across cloud environments.</p></li><li><p>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</p></li></ul><p><br>
<b>
Our Tech Stack</b></p><ul><li><p>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</p></li><li><p>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</p></li><li><p>
Workflow Orchestration: Apache Airflow</p></li><li><p>
Programming Languages: Python, SQL, (bonus: Java/Scala)</p></li><li><p>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</p></li><li><p>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</p></li></ul><b><br>
Qualifications</b><p><b><br>
What Did We Order?</b></p><p><b>
What We&rsquo;re Looking For</b></p><ul><li><p>
Experience (1&ndash;3 years) in data engineering, software engineering, or a related field.</p></li><li><p>
Proficiency in SQL and at least one programming language (Python preferred).</p></li><li><p>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</p></li><li><p>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</p></li><li><p>
Comfort working in cloud environments (GCP, AWS, or Azure).</p></li><li><p>
Strong communication skills &mdash; able to explain technical concepts to non-technical audiences.</p></li><li><p>
Growth mindset &mdash; eager to learn, adapt, and take on new challenges.<br>
</p></li></ul><p><b>Nice-to-Have (But Not Required and willing to learn)</b></p><ul><li><p>
Experience with infrastructure-as-code (Terraform, CloudFormation).</p></li><li><p>
Exposure to containerization (Docker, Kubernetes).</p></li><li><p>
Knowledge of data governance, security, and compliance best practices.</p></li></ul><b><br>
Additional Information</b><p><b><br>
Why You&rsquo;ll Love Working Here</b></p><ul><li><p>
Impact: Your work will directly influence how data powers decisions across the company.</p></li><li><p>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</p></li><li><p>
Modern stack: Work with cutting-edge tools and cloud platforms.</p></li><li><p>
Collaboration: Partner with talented engineers, analysts, and product managers.</p></li><li><p>
Flexibility: We care about outcomes, not where you work from.</p></li></ul><p><b>
Our Hiring Philosophy</b></p><p>
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.</p></div>

Data Engineer II

NorthBay Solutions

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

Senior Data Engineer

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><i>
We're committed to bringing passion and customer focus to the business.</i></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><br>
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><br>
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 <i>Introduce Yourself</i> 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

BBGC

<div><p>We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions.</p><p></p><p><b>
Senior Data Engineer</b> will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance.
</p><p><b>Requirements</b></p><ul><li><ul>
<li>6+ years of experience in data engineering or related roles.</li>
<li>Proven expertise in Azure Data Factory and Azure Databricks.</li>
<li>Strong proficiency in Python for data engineering tasks.</li>
<li>Solid understanding of SQL and relational databases.</li>
<li>Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka).</li>
<li>Experience in maintaining and supporting production-grade data pipelines.</li>
<li>Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments.</li>
<li>Experience with version control systems (e.g., Git) and CI/CD pipelines.</li>
<li>Excellent problem-solving skills and attention to detail.</li></ul></li></ul></div>

Bright Deal International General Contracting L.L.C

<p><b>Company:</b> Bright Deal International General Contracting LLC &ndash; A Leading Contractor Specializing in Pipeline Infrastructure</p><p><b>Location:</b> Abu Dhabi, UAE</p><p><b>About Us:</b><br/>Bright Deal International General Contracting LLC (BDI) is a reputable contracting company specializing in pipeline infrastructure projects. As an <b>approved contractor for TAQA works</b>, BDI delivers complex and large-scale infrastructure projects across the UAE. We are seeking a highly experienced Planning Engineer to join our team and contribute to the successful execution of pipeline projects from inception to completion.</p><p><b>Position Overview:</b><br/>The Planning Engineer will be responsible for developing, managing, and optimizing detailed project schedules (including Level 3 and Level 4) for pipeline infrastructure initiatives. The ideal candidate must have <b>full-fledged project work experience</b>, covering the complete lifecycle from design to commissioning, ensuring projects are delivered on time, within scope, and in compliance with industry standards.</p><p><b>Key Responsibilities:</b></p><ul><li>Lead the planning and scheduling function across engineering, procurement, construction, testing, and commissioning phases.</li><li>Monitor project progress, analyze critical paths, and proactively implement corrective measures.</li><li>Conduct risk analysis and develop mitigation strategies to safeguard project timelines.</li><li>Prepare and present detailed project performance reports (progress, variances, resource histograms, and S-curves).</li><li>Develop, manage, and update comprehensive <b>Level 3 and Level 4 schedules</b> for large-scale pipeline projects.</li><li>Collaborate with project managers, engineers, and site teams to ensure schedule accuracy and alignment with actual work progress.</li><li>Maintain as-built schedules and document project delays with justifications.</li><li>Mentor and guide junior planning engineers in advanced scheduling practices.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Civil Engineering, Mechanical Engineering, or a related discipline.</li><li>Minimum <b>4+ years&rsquo; proven experience</b> as a Planning Engineer in <b>pipeline infrastructure projects</b>.</li><li>Demonstrated <b>end-to-end project execution experience</b> (engineering, procurement, construction, testing, commissioning).</li><li>Strong expertise in <b>Primavera P6</b> and MS Project, with hands-on experience in Level 3 &amp; Level 4 scheduling.</li><li>Solid understanding of pipeline design, construction methodologies, and industry standards.</li><li>Strong analytical, organizational, and communication skills.</li><li>Ability to work effectively in a fast-paced, multi-disciplinary environment.</li></ul><p><b>How to Apply:</b><br/>Interested candidates may apply directly through Indeed or send their CV to <b>hr@bdiuae.com </b>with the subject line <i>&ldquo;Planning Engineer &ndash; Pipeline Infrastructure&rdquo;</i>.</p><p>Job Types: Full-time, Permanent</p><p>Ability to commute/relocate:</p><ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>UAE: 4 years (Required)</li><li>Pipeline related planning: 4 years (Required)</li></ul><p>Location:</p><ul><li>Dubai (Required)</li></ul>

Planning Engineer ( Pipeline Experience)

OneBullEx

<div><div><b>Senior AI Engineer, Quantitative Strategies</b></div>
<div></div>
<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.</div>
<div></div>
<div><b>Job Overview</b><br>
</div>
<div>We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.</div>
<div></div>
<div><b>Key Responsibilities</b></div>
<ul><li><div>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</div>
</li><li><div>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</div>
</li><li><div>Build closed-loop feedback systems to automate backtesting, analyze performance, and iteratively improve AI-generated strategies</div>
</li><li><div>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</div>
</li><li><div>Ensure scalability, performance, and robustness of all deployed systems</div>
</li>
</ul><div></div><div><b>Candidate Requirements</b></div>
<ul><li><div>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</div>
</li><li><div>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</div>
</li><li><div>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</div>
</li><li><div>Solid knowledge of deep learning, reinforcement learning, and optimization techniques</div>
</li><li><div>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</div>
</li><li><div>Strong software engineering fundamentals, including Git, testing, and deployment workflows</div>
</li><li><div>Deep understanding of financial markets, statistical analysis, and strategy development principles</div>
</li></ul><div></div><div><b>Preferred Qualifications</b></div>
<ul><li><div>Proven track record of developing and executing trading strategies in live markets</div>
</li><li><div>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</div>
</li><li><div>GitHub or portfolio demonstrating complex, data-driven projects</div>
</li><li><div>Experience with reinforcement learning or other adaptive systems</div>
</li><li><div>A strong intellectual curiosity and drive to push technological boundaries</div>
</li>
</ul><div></div><div><b>Why Join OneBullEx?</b></div>
<ul><li><div>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</div>
</li><li><div>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</div>
</li><li><div>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</div>
</li><li><div>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</div></li></ul></div><div></div>

Senior AI Engineer, Quantitative Strategies

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2889 data pipeline engineer jobs IN Dubai

Data Engineer – Analytics & AI

Data Engineer II

Senior Data Engineer

Azure Lead Architect

Senior Data Engineer

Planning Engineer ( Pipeline Experience)

Senior AI Engineer, Quantitative Strategies