data analyst

data engineer

senior data analyst

senior data engineer

senior data scientist

senior software engineer analytics

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
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 The senior data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
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 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
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 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
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 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
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 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
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 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
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 Successful documentation of reusable code
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 </ul>
 
 
 Development and learning
 
 
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 Achieve personal technical development and learning goals
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 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
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 Participates in and helps plan cultural initiatives for CoE
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 </ul>
 
 
 
 
 
 Education
 
 
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 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
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 Experience with programming is a must; specifically experience in R or Python
 </li>
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 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
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 Strong analytical and problem-solving skills
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 Worked in agile environments with multiple stakeholders from the business
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 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
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 <li>
 Practical and action oriented
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 Compelling communicator
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 Excellent stakeholder management
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 Foster and promote entrepreneurial spirit and curiosity amongst team members
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 Team player
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 Quick learner
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 </ul>
 
 
</div>

Senior Data Scientist - Advanced Analytics CoE

Easygenerator

A fast-growing EdTech company in Dubai is seeking a Senior Data Analyst to join the Product & Data team. The ideal candidate will have 5-7 years of experience in data analytics, advanced SQL skills, and expertise in visualization tools like Tableau and Power BI. You will partner with leadership to drive data-informed strategies, mentor junior analysts, and ensure data quality across analytics initiatives. A competitive compensation package, including visa support and benefits, will be provided.

Senior Data Analyst, SaaS Product & Growth Insights

Glow Beauty On Demand

Job Description
Glow Beauty On Demand is looking for a Senior Consultant AI Software Engineer to join its technology and innovation team in Dubai. This role supports the Financial Accounting and Advisory Services (FAAS) function, focusing on AI engineering, generative AI, and scalable machine learning solutions. The position involves building and operationalizing AI-driven applications, integrating large language models, and delivering solutions that create measurable business value.
Core Duties
<ul>
<li>Design, build, and operationalize AI solutions using MLOps pipelines and cloud-native platforms (Azure, AWS, GCP).</li>
<li>Develop and fine-tune large language models (LLMs) and implement generative AI use cases such as chatbots, document summarization, and intelligent assistants.</li>
<li>Collaborate with data scientists, engineers, and business leaders to align AI solutions with strategic objectives.</li>
<li>Support FAAS client engagements through advisory services, compliance with regulatory standards, and service delivery frameworks.</li>
<li>Contribute to the development of AI-driven strategies and assist in go-to-market initiatives.</li>
<li>Evaluate emerging AI technologies, frameworks, and tools to strengthen business offerings.</li>
<li>Supervise projects, ensuring high-quality, timely, and cost-effective delivery.</li>
<li>Provide mentorship to junior team members and contribute to knowledge sharing.</li>
</ul>

Senior Consultant AI Software Engineer (FAAS)

Deluxe Holiday Homes

<div>Role Overview:
The role will design, implement, and manage the company&rsquo;s data infrastructure and analytics framework. It includes building a centralized data warehouse, creating scalable data structures, and producing actionable insights across SCALE PMS, ERP, HubSpot, Google Ads, Meta Ads, and Finance systems.
Key Responsibilities:<ul><li>
Design and build the company&rsquo;s data warehouse architecture to consolidate data from multiple systems.</li><li>
Develop data models, transformations, and pipelines to ensure data consistency and accuracy.</li><li>
Implement data quality validation, governance, and automated data refresh processes.</li><li>
Create interactive dashboards and reports for management and departments (Operations, Marketing, Finance).</li><li>
Define and maintain the organization-wide KPI and metrics structure.</li><li>
Conduct deep-dive analyses to identify trends, performance gaps, and optimization opportunities.</li><li>
Manage marketing data attribution (Google Ads, Meta Ads, HubSpot PMS).</li><li>
Support leadership with strategic, data-driven recommendations.</li></ul> 
Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Analytics, Computer Science, or related field.</li><li>
Minimum 5 years of experience in analytics, data engineering, or BI roles.</li><li>
Expertise in SQL, dbt, Python, and data warehouse design (BigQuery, Postgres, or similar).</li><li>
Strong experience in dashboard tools (Looker Studio, Metabase, or Power BI).</li><li>
Proven ability to integrate marketing, CRM, and operational systems.</li><li>
Excellent problem-solving and cross-functional communication skills.</li></ul>
Preferred Skills:<ul><li>
Experience in the hospitality or property management industry.</li><li>
Familiarity with Airbyte, Prefect, or similar ETL orchestration tools.</li><li>
Knowledge of forecasting, anomaly detection, and cost optimization techniques.</li></ul>
Compensation:
Competitive salary package with performance-based incentives.</div>

Analytics Engineer / Senior Data Analyst

Braze

<div><div>At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity &ndash; inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you.</div><ul>
<li>
WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
<ul>
<li>Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration</li>
<li>Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components</li>
<li>Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms</li>
<li>Contribute to shaping OfferFit's product strategy and roadmap through customer-facing insights and technical expertise</li>
<li>Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success</li>
</ul>
WHO YOU ARE
<ul>
<li>Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred</li>
<li>Experience: 3&ndash;5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred</li>
<li>Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment</li>
<li>Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions</li>
<li>Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms</li>
<li>Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value</li>
<li>Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions</li>
<li>Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow</li>
<li>Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences</li>
</ul>
</li></ul><div><div>WHAT WE OFFER 

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
<ul>
<li>Competitive compensation that may include equity</li>
<li>Retirement and Employee Stock Purchase Plans</li>
<li>Flexible paid time off</li>
<li>Comprehensive benefit plans covering medical, dental, vision, life, and disability</li>
<li>Family services that include fertility benefits and equal paid parental leave</li>
<li>Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend</li>
<li>A curated in-office employee experience, designed to foster community, team connections, and innovation</li>
<li>Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching</li>
<li>Employee Resource Groups that provide supportive communities within Braze</li>
<li>Collaborative, transparent, and fun culture recognized as a Great Place to Work&reg;</li>
</ul>
ABOUT BRAZE 
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.&trade; Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

Braze is proudly certified as a Great Place to Work&reg; in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In's Best Places to Work. In 2024, we were included in U.S. News &amp; World Report's Best Companies to Work For (Top 10%) and recognized in Great Place to Work's Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women.
 
Additionally, we were featured in Great Place to Work UK's Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology.

You'll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, S&atilde;o Paulo, Seoul, Sydney and Tokyo &ndash; not to mention our employees in nearly 50 remote locations.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience &ndash; regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.</div></div></div>

Senior Forward-Deployed Data Scientist, AI Deployment

Mogi I/O

Job Title Senior Rust Engineer Remote AI Project | Dubai Tech Jobs 2025 Job Description Senior Rust Engineer Remote AI Project | Dubai Tech Jobs 2025 Role Summary Join a cutting-edge AI research initiative as a Senior Rust Engineer in a fully remote, contract-based role. This position focuses on building and validating training datasets for large language models (LLMs) by leveraging real-world GitHub repositories. If you excel in Rust and enjoy complex engineering challenges, this role offers an exceptional opportunity to combine AI research with hands-on coding. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (Hourly basis, no benefits) Position Overview As a Senior Rust Engineer, you will work closely with AI researchers to identify, test, and configure open-source codebases, ensuring they align with LLM training goals. This role demands strong Rust expertise, problem-solving skills, and the ability to manage real-world software environments. What You ll Do * Analyze GitHub issues and identify relevant open-source repositories for testing. * Set up development environments using Docker and similar tools. * Evaluate code quality and unit test coverage for selected projects. * Modify and execute repositories to validate LLM bug-fix performance. * Partner with researchers to define and select repositories for experiments. * Optionally lead junior engineers and provide guidance on technical tasks. Ideal Profile * 3 4+ years of professional Rust programming experience. * Hands-on knowledge of Git, Docker, and CI/CD workflows. * Strong debugging skills with experience in running complex codebases locally. * Familiarity with GitHub workflows and issue triaging processes. * Ability to work independently and adapt to dynamic project requirements. Why Join Us * Contribute to next-generation AI solutions with real-world applications. * Flexible remote work with competitive hourly pay structure. * Collaborate with leading researchers in AI and open-source development. * Gain practical experience in testing and validating LLM performance. About the Company Mogi I/O is an innovative media-tech company delivering advanced OTT, podcast, and short video platforms for global audiences. By combining cutting-edge AI, big data analytics, and robust cloud infrastructure, we empower brands and creators to deliver seamless and scalable digital experiences worldwide. Employers in UAE post unlimited jobs free with our AI-powered recruitment platform and access the best talent today! Post Details

Senior Rust Engineer

BBGC

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. Senior Data Engineer will play a critical role in designing, bu 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. Senior Data Engineer 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. Requirements 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.

Senior Data Engineer

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