data analyst

ai engineer

backend engineer

senior data analyst

data scientist

data engineer

dubizzle

<div>
 
 Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 The Data Engineer intern will be participating in exciting projects covering the end-to-end data lifecycle - from raw data integrations with primary and third-party systems, through advanced data modelling, to state-of-the-art data visualisation and development of innovative data products.
 
 
 You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments - such as product &amp; tech, the core business verticals, trust &amp; safety, finance and others - to enable them to be successful.
 
 
 
 
 In this role, you will handle:
 
 
 <ul>
 <li>
 Raw data integrations with primary and third-party systems
 </li>
 <li>
 Data warehouse modelling for operational and application data layers
 </li>
 <li>
 Development in Amazon Redshift cluster
 </li>
 <li>
 SQL development as part of agile team workflow
 </li>
 <li>
 ETL design and implementation in Matillion ETL
 </li>
 <li>
 Design and implementation of data products enabling data-driven features or business solutions
 </li>
 <li>
 Data quality, system stability and security
 </li>
 <li>
 Coding standards in SQL, Python, ETL design
 </li>
 <li>
 Data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
 </li>
 <li>
 Working with other departments on data products - i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising and others
 </li>
 <li>
 Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, math, physics or any related quantitative field
 </li>
 </ul>
 <ul>
 <li>
 Knowledge of relational and dimensional data models
 </li>
 <li>
 Knowledge of terminal operations and Linux workflows
 </li>
 <li>
 Ability to communicate insights and findings to a non-technical audience
 </li>
 <li>
 Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
 </li>
 <li>
 Attention to details and analytical thinking
 </li>
 <li>
 Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region
 </li>
 <li>
 Strengthen your resume and build your network
 </li>
 <li>
 Opportunity to find a full time career with the region's leading organization
 </li>
 <li>
 Working in a multicultural environment with over 60 different nationalities
 </li>
 <li>
 Access to the Learning &amp; Development tools and courses provided by the company
 </li>
 </ul>
 
 Bayut &amp; dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 #UAEdubizzle
 
</div>

Data Engineer - Intern

Whiteshield

<div>Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in &quot;connecting the dots&quot; between policy, business and technology.
Whiteshield X is Whiteshield&rsquo;s product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. We develop a host of different SaaS modules from job matching to managing scholarship programs, and from delivering financial support to growth support for SMEs. These modules support governments around the world with delivering G2C and G2B services efficiently and significantly improve policy outcomes.
We are seeking a Senior Data Engineer who combines deep technical expertise with architectural vision to build the next generation of AI-accelerated data platforms.
You will play a pivotal role in defining and implementing the organization&rsquo;s data architecture and platform strategy &mdash; ensuring that data is reliable, well-structured, and easily consumable across systems and applications. This is both a strategic and hands-on position: you&rsquo;ll design scalable architectures, build data pipelines, and collaborate with application and product teams to embed data excellence into every part of the technology stack.
If you&rsquo;re passionate about data craftsmanship, AI-driven automation, and modern cloud-native ecosystems, this is an opportunity to make a large-scale impact.
What You'll Do<ul><li>
Data Architecture &amp; Strategy</li></ul><ul><li>
Define and maintain the enterprise data architecture blueprint, spanning ingestion, lake, warehouse, and semantic layers.</li></ul><ul><li>
Collaborate closely with application and platform teams to design robust data strategies &mdash; ensuring alignment between application design, API contracts, and long-term data scalability.</li></ul><ul><li>
Develop integration patterns and governance models that support cross-platform interoperability, data lineage, and secure data sharing.</li></ul><ul><li>
Partner with cloud architects to ensure performance, scalability, and compliance across Azure environments.</li></ul><ul><li>
Data Engineering &amp; Orchestration</li></ul><ul><li>
Build and optimize end-to-end data pipelines using Apache Airflow, Azure Fabric, Azure Data Factory, and SSIS &mdash; integrating diverse data sources (transactional, streaming, and analytical).</li></ul><ul><li>
Implement AI-accelerated data processing for intelligent schema mapping, deduplication, and performance optimization.</li></ul><ul><li>
Develop and maintain ETL/ELT frameworks using SQL and Python (Pandas, PySpark) for high-volume, low-latency data movement.</li></ul><ul><li>
Data Modeling &amp; Warehousing</li></ul><ul><li>
Design semantic data models, dimensional schemas, and data marts using SSAS, PostgreSQL, MSSQL, and Azure Synapse/Fabric.</li></ul><ul><li>
Collaborate with BI and analytics teams to support dashboards, reports, and forecasting tools with clean, contextualized, and well-documented data models.</li></ul><ul><li>
Performance, Quality &amp; Governance</li></ul><ul><li>
Define standards for data quality, lineage, observability, and access control.</li></ul><ul><li>
Implement automated validation, monitoring, and reconciliation mechanisms.</li></ul><ul><li>
Work with governance and security teams to ensure compliance with national and organizational data frameworks.</li></ul><ul><li>
Collaboration &amp; Enablement</li></ul><ul><li>
Partner with application engineers, data scientists, and business analysts to deliver AI-ready, high-quality data products.</li></ul><ul><li>
Act as a bridge between application development and data architecture, ensuring consistent data design across services.</li></ul><ul><li>
Mentor junior data engineers and champion best practices in modern data engineering and DevOps for data.</li></ul>
Requirements
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related discipline.</li></ul><ul><li>
6+ years of experience in data engineering and architecture, preferably in complex or government-scale environments.</li></ul>
Expertise in:<ul><li>
Orchestration: Apache Airflow, Azure Data Factory, or equivalent.</li></ul><ul><li>
ETL / BI Stack: SSIS, SSAS, dbt, Power BI semantic models.</li></ul><ul><li>
Databases: MSSQL, PostgreSQL, Azure Synapse, Azure Fabric Data Lake.</li></ul><ul><li>
Cloud Platforms: Deep knowledge of Azure (Fabric, Synapse, Blob, Data Lake, Functions, Logic Apps). Google Cloud is a plus.</li></ul><ul><li>
Languages: SQL and Python (Pandas, PySpark); experience with CI/CD pipelines and GitOps practices.</li></ul><ul><li>
Demonstrated experience designing AI-ready architectures and leveraging machine learning for data enrichment and automation.</li></ul><ul><li>
Strong understanding of data governance, interoperability standards, and scalable architecture design patterns.</li></ul>
Benefits
WHY CHOOSE US |
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</div>

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

HIT HR

Company: HIT Human Resource Consultancy (on behalf of our reputed client in Abu Dhabi)HIT Human Resource Consultancy is hiring Site Engineer for a reputed IT company on behalf of the client.Job Title: Field Productivity EngineerLocation: Dubai / Abu Dhabi, UAE (UAE-based position)Job Type: Full-timeAbout the Role:We are looking for a proactive Field Productivity Engineer to join a dynamic team. You will act as a crucial link between our advanced data system and the on-ground engineering teams, using insightful analysis to identify bottlenecks and implement effective solutions directly with client's field engineers and their crews.Key Responsibilities:<ul><li>System implementation and support: Setting up equipment and hardware used for monitoring at the client&rsquo;s site. We use smartwatches, action cameras, servers and other types of equipment for our work.</li></ul><ul><li>Targeted Field Engagement: Work one-on-one with client&rsquo;s teams to review performance data and develop action plans for improvement.</li></ul><ul><li>Data Analysis &amp; Reporting: Collect, process, and analyse productivity data from our system using Excel.</li></ul><ul><li>Training &amp; Support: Coach and guide client&rsquo;s teams on utilising the system to ensure the best result.</li></ul><ul><li>Troubleshooting: Communication with project and tech teams to report any bugs/tech issues to improve quality of our product.</li></ul>Required Qualifications &amp; Skills:&middot; At least 2-3 years of work experience, preferably in construction (e.g., Field Engineer, Site Engineer, Construction Engineer) with a proven track record.&middot; Advanced Excel Proficiency: Expert-level skills in formulas (V LOOKUP, INDEX/MATCH, SUMIFS), PivotTables, and chart creation are essential.&middot; Language: Fluency in English (both written and verbal) is mandatory. Knowledge of other languages will be considered as an advantage.&middot; Tech savvy: Deep understanding of how computers, server and network infrastructure work will be considered as an advantage.&middot; Residency: Must be currently residing in the UAE and available for an interview.&middot; Valid UAE driving licenseWhat We Offer:&middot; Comprehensive employment visa and medical insurance&middot; Performance-based bonus schemes&middot; Opportunity to work with cutting-edge AI data systems in constructionPlease send your CV to &quot;careers@hithrc.com&quot;with the attested qualification certificate.Job Type: Full-timePay: AED7,000.00 - AED8,000.00 per month

Civil Site Engineer -IT company

DICETEK LLC

Design, model, and optimize enterprise database systems that support high-performance applications.
 
The ideal candidate will have strong experience in data modeling, schema design, normalization, indexing, and query optimization across databases such as PostgreSQL, MSSQL, Oracle, and Redis.
 
The role involves collaborating with solution architects, DBAs, developers, and business analysts to translate business requirements into efficient, scalable, and maintainable database structures.
 
Hands-on experience with ETL processes, data integration (webMethods), cloud storage (AWS S3), and database performance tuning is highly desirable.
 
Strong analytical, problem-solving, and communication skills are essential to ensure data integrity, consistency, and optimal performance of enterprise database systems.

Database Designer

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
tfBxYLuv2F</div>

Data Scientist

the ENTERTAINER

<div>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 
 The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization.
 
 
 
 
 
 
 
 
 
 As a Data Scientist you will
 
 
 
 
 
 
 
 
 Strategic Impact &amp; Business Influence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Define and execute a holistic data science strategy aligned with B2C growth goals.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Product &amp; Business Intelligence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.&nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Analytics Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Lead development of dashboards and self-serve analytics tools for key stakeholders.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in designing experiments (A/B testing) and statistical inference techniques.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with modern data visualization tools like Tableau, Power BI.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and storytelling skills to influence executive stakeholders.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Track record of delivering high-impact insights and building analytics capabilities from scratch.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong mentoring, coaching, and cross-functional collaboration abilities.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Competitive salary and benefits package.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Opportunity to work with an energetic and innovative company.
 
 
 
 
 </li>
 <li>
 
 
 
 
 A chance to contribute to the success of a well-known UAE brand.
 
 
 
 
 </li>
 </ul>
</div>

Mind Stream

Experience &amp; Qualifications:Experience: 8&ndash;15 years in data architecture and analytics, with 2&ndash;3 full lifecycle big data implementations.Education: Min Bachelor&rsquo;s in Information TechnologySoft Skills: Strong communication, stakeholder managementWork Experience:Develop and implement Big Data solutions aligned with business objectives.Design scalable architectures for data ingestion, storage, and processing using technologies like Hadoop, Spark, and cloud platforms OCI (preferably)Create data models, design ETL workflows, and ensure integration with enterprise systems.Technical Leadership:Provide technical guidance to Project teams , customer on big data frameworks and best practices.Oversee full lifecycle of big data projects: requirement analysis, design, development, testing, and deployment.Location : Qatar DohaJob Type: Full-timeApplication Question(s):<ul><li>How many years of Big Data experience (Hadoop/Spark)?</li><li>Have you completed 2&ndash;3 full lifecycle Big Data implementations?</li><li>Do you have experience with Hadoop and Spark?</li><li>Do you have experience with cloud platforms (Preferred: OCI)?</li><li>Do you have experience with ETL workflows and data modeling?</li><li>Do you have experience designing scalable Big Data architectures?</li><li>what is your current and expected salary? Notice period?</li></ul>

Big Data Consultant

Explore 2718+ Data engineer in Dubai this November. Find roles across top companies and apply now to boost your career.

2718 data engineer jobs IN Dubai

Data Engineer - Intern

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

Civil Site Engineer -IT company

Database Designer

Data Scientist

Data Scientist

Big Data Consultant