data analyst

senior software engineer

ai engineer

business data analyst

business intelligence analyst Jobs in Dubai

business intelligence analyst

big data engineer

ByteDance

Location: 
Dubai
 
Team: 
Technology
 
Employment Type: 
Regular
 
Job Code: 
A215694
 
Responsibilities
 
Team Introduction
 The mission of the CSS data team is to empower the Corporate Service System Business with data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of the Workplace Service System.
 
As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
 
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
 
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
 
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
 
Online Assessment
 Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
 
Responsibilities: 
<ul>
<li>Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).</li>
<li>Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.</li>
<li>Establish solid design and best engineering practice for engineers as well as non-technical people.</li>
</ul>
Qualifications
 
Minimum Qualification(s): 
<ul>
<li>Completing or have recently completed a Bachelor’s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).</li>
<li>Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).</li>
<li>Good communication and teamwork skills to clearly communicate technical concepts with other teammates.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience with performing data analysis, data ingestion and data integration.</li>
<li>Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.</li>
<li>Experience with schema design, data modeling and SQL queries.</li>
</ul>
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
 
Job Information
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
Diversity & Inclusion
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Data Engineer Graduate (Corporate Information System) - 2026 Start (BS/MS)

Dubai Holding

<div>
 
 Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai&rsquo;s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai&rsquo;s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
 
 
 
 
 
 Dubai Holding is committed to the diversification of Dubai&rsquo;s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure &amp; entertainment, ICT, design, education, media, retail, manufacturing &amp; logistics, and science.
 
 
 
 
 
 
 For the Good of Tomorrow
 
 
 
 Dubai Holding is looking to hire a
 
 Data Engineer
 
 . The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs. This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
 
 
 
 
 
 If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 Data Infrastructure &amp; Pipeline Development
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, lakes, and warehouses.
 </li>
 <li>
 Develop ETL jobs and stored procedures/functions/packages.
 </li>
 <li>
 Ensure robust data storage and high-quality data delivery.
 </li>
 </ul>
 
 
 Technical Guidance &amp; Integration
 
 
 <ul>
 <li>
 Own and implement ETL operating standards.
 </li>
 <li>
 Provide guidance on infrastructure for analytics and AI use cases.
 </li>
 <li>
 Collaborate with backend developers and IT architecture teams for seamless integration.
 </li>
 </ul>
 
 
 Product &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Work with Product Owners to understand and meet data needs.
 </li>
 <li>
 Translate product requirements into engineering plans and roadmaps.
 </li>
 <li>
 Gather stakeholder requirements and build architectures aligned with business goals.
 </li>
 </ul>
 
 
 Quality &amp; Process Excellence
 
 
 <ul>
 <li>
 Promote a culture of process and data quality.
 </li>
 <li>
 Implement best practices for data management and quality assurance.
 </li>
 <li>
 Support bug fixing and performance optimization.
 </li>
 </ul>
 
 
 Agile Delivery &amp; Team Collaboration
 
 
 <ul>
 <li>
 Advocate for agile methodologies and iterative development
 </li>
 <li>
 Collaborate cross-functionally to deliver project outcomes.
 </li>
 </ul>
 
 
 
 
 
 Who we are looking for:
 
 
 <ul>
 <li>
 At least 3-6 years of experience in Data Engineering roles
 </li>
 <li>
 Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
 </li>
 <li>
 Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
 </li>
 <li>
 Experience in implementing AI solutions including OCR, Large Language Models, etc.
 </li>
 <li>
 Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
 </li>
 <li>
 Proficiency in Python, SQL, PL/SQL, Spark and similar languages
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Experience working in a tech/ product environment is a plus
 </li>
 </ul>
 
 
 
 
 
 Behavioural Competencies
 
 
 <ul>
 <li>
 High-energy, ownership-driven mindset
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Comfortable navigating ambiguity and driving clarity
 </li>
 <li>
 Experience in agile/start-up environments preferred
 </li>
 <li>
 Successful track record of leading complex projects is a plus
 </li>
 </ul>
 
 
 
 
 
 As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
 
 
 
 
 
 
 
 This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
 
 
</div>

Data Engineer

Deem Finance

<div>
 
 
 Key Performance Indicators
 
 
 
 
 Advanced Analytics &amp; AI Enablement
 
 
 <ul>
 <li>
 Lead the development of
 
 predictive, prescriptive, and ML models
 
 for growth, risk, customer experience, and efficiency.
 </li>
 <li>
 Build reusable
 
 data products, dashboards, and analytical APIs
 
 for business self-service.
 </li>
 <li>
 Deploy AI/ML use cases across domains such as
 
 Cards, PL, ML, SME, Deposits, Digital Channels, Collections, and Marketing
 
 .
 </li>
 <li>
 Ensure measurable business impact (revenue uplift, cost reduction, risk mitigation).
 </li>
 </ul>
 
 
 
 
 
 Business Partnering &amp; Value Realisation
 
 
 <ul>
 <li>
 Partner with senior business stakeholders to identify
 
 high-value data opportunities
 
 .
 </li>
 <li>
 Translate business problems into analytical solutions with
 
 clear ROI and success metrics
 
 .
 </li>
 <li>
 Challenge assumptions with data-driven insights and influence strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Data Products &amp; Platform Adoption
 
 
 <ul>
 <li>
 Promote scalable analytics using cloud, big data, and modern ML platforms.
 </li>
 <li>
 Improve analytics maturity across teams through enablement and best practices.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Digital Data Journey
 
 
 <ul>
 <li>
 Define and execute the
 
 enterprise data &amp; analytics roadmap
 
 aligned with business strategy.
 </li>
 <li>
 Establish data as a
 
 single source of truth
 
 through governed, scalable, and reusable data assets.
 </li>
 <li>
 Drive adoption of advanced analytics, AI, and automation across business units.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the
 
 design, development, and deployment
 
 of advanced analytics and AI solutions.
 </li>
 <li>
 Own the
 
 end-to-end analytics lifecycle
 
 : problem framing, data preparation, modelling, validation, deployment, and monitoring.
 </li>
 <li>
 Guide teams on
 
 feature engineering, model selection, performance tuning, and interpretability
 
 .
 </li>
 <li>
 Drive data storytelling and executive-level insights through compelling narratives and visuals.
 </li>
 <li>
 Mentor and develop data scientists and analysts; set technical and delivery standards.
 </li>
 <li>
 Collaborate with IT, Data Engineering, Risk, Finance, and Product teams to embed analytics into workflows.
 </li>
 <li>
 Prioritise initiatives using
 
 value vs effort
 
 and ensure timely execution.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Core Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong hands-on expertise in
 
 Python/R / SQL
 
 and modern data science frameworks.
 </li>
 <li>
 Proven experience in
 
 machine learning, statistical modelling, and AI techniques
 
 .
 </li>
 <li>
 Strong understanding of
 
 data architecture, data pipelines, and cloud analytics platforms
 
 .
 </li>
 <li>
 Ability to convert complex analytical outputs into
 
 clear business recommendations
 
 .
 </li>
 <li>
 Excellent stakeholder management, communication, and presentation skills.
 </li>
 <li>
 Strategic mindset with execution focus.
 </li>
 <li>
 Ability to manage multiple initiatives in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Educational &amp; Other Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Statistics, Engineering, or related field
 
 .
 </li>
 <li>
 
 7&ndash;10 years of experience
 
 in data science, advanced analytics, or AI roles, preferably within
 
 banking or financial services
 
 .
 </li>
 <li>
 Strong exposure to
 
 banking/NBFC domains
 
 (Cards, Loans, SME, Digital Channels, Risk, Marketing).
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, Azure, GCP) and big-data ecosystems.
 </li>
 <li>
 Exposure to
 
 data
 
 &amp;
 
 risk models, and regulatory environments
 
 is a strong advantage.
 </li>
 </ul>
 
 
</div>

Digital Data Scientist

Parser

<div>
 
 
 Position Summary:
 
 
 
 We are seeking a Professional Data Engineer to join our dynamic team, where you will play
 
 
 a crucial role in developing and maintaining robust data solutions.
 
 
 As a Professional Data Engineer, you will collaborate with data science, business analytics,
 
 
 and product development teams to deploy cutting-edge techniques and utilise best-in-class
 
 
 third-party products. The Data team operates with engineering precision, prioritising security, privacy, and regulatory compliance in every initiative. As a Professional Data Engineer, you will contribute to the team's commitment to utilising the latest tools and methodologies, ensuring that our data solutions align with industry best practices.
 
 
 
 
 
 
 Our Tech Stack:
 
 
 <ul>
 <li>
 Languages: SQL and Python
 </li>
 <li>
 Pipeline orchestration tool: Dagster (Legacy: Airflow)
 </li>
 <li>
 Data stores: Redshift, Clickhouse
 </li>
 <li>
 Platforms &amp; Services: Docker, Kubernetes
 </li>
 <li>
 PaaS: AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3 and others.)
 </li>
 <li>
 ETL: FiveTran &amp; DBT for transformation
 </li>
 <li>
 IaC: Terraform (with Terragrunt)
 </li>
 <li>
 GenAI: Bedrock, LangChain, LLMs
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain ETL pipelines using SQL and/or Python.
 </li>
 <li>
 Use tools like Dagster/Airflow for pipeline orchestration
 </li>
 <li>
 Collaborate with cross-functional teams to understand and deliver data requirements.
 </li>
 <li>
 Ensure a consistent flow of high-quality data using stream, batch, and CDC processes.
 </li>
 <li>
 Use data transformation tools like DBT to prepare datasets to enable business users to self-service.
 </li>
 <li>
 Ensure data quality and consistency in all data stores.
 </li>
 <li>
 Monitor and troubleshoot data pipelines for performance and reliability.
 </li>
 </ul>
 
 
 
 
 
 Essential Experience:
 
 
 <ul>
 <li>
 3+ years of experience as a data engineer.
 </li>
 <li>
 Proficiency in SQL is a must
 </li>
 <li>
 Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift, Azure Synapse.
 </li>
 <li>
 Experience with ETL/ELT, batch, streaming data processing pipelines.
 </li>
 <li>
 Excellent ability to investigate and troubleshoot data issues, providing fixes and proposing both short and long-term solutions.
 </li>
 <li>
 Knowledge of AWS services (like S3, DMS, Glue, Athena, etc.)
 </li>
 <li>
 Familiar with DBT or other data transformation tools.
 </li>
 <li>
 Familiarity with GenAI, and how to leverage LLMs to resolve engineering challenges
 </li>
 </ul>
 
 
 
 
 
 Other Desired Experience:
 
 
 <ul>
 <li>
 Experience with AWS services and concepts (like EC2, ECS, EKS, VPC, IAM, etc).
 </li>
 <li>
 Familiar with Terraform and Terragrunt.
 </li>
 <li>
 Experience with Python
 </li>
 <li>
 Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.
 </li>
 <li>
 Experience with pub-sub, queuing, and streaming frameworks such as AWS Kinesis, Kafka, SQS, SNS.
 </li>
 <li>
 Familiar with CI/CD pipelines and automation
 </li>
 </ul>
 
 
</div>

Mid-Level Data Engineer

Al-Futtaim Automotive

<div>
 
 Job Requisition ID:
 
 174070
 
 
 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
 
 
 By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day
 
 
 
 Overview Of The Role
 
 
 
 <ul>
 <li>
 As a Senior Data Engineer in the Data and Analytics team, your role is pivotal in converting complex data landscapes into actionable business insights. You will evaluate diverse data sources from both SAP and non-SAP systems and convert these into business-ready datasets. You will be crucial in the development and support of integrating these data streams into our Azure Data platform, ensuring the data supports our business intelligence and analytics goals.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 
 Prototyping and Solution Design
 
 
 
 <ul>
 <li>
 Design, document, develop, implement, and test rapid prototypes to showcase data value for extended business audiences.
 </li>
 <li>
 Engage in early-stage design discussions and feature definition activities to shape future projects.
 </li>
 <li>
 Convert business requirements into Technical Specification Documents (TSDs) and Functional Specification Documents (FSDs).
 
 
 </li>
 </ul>
 
 Data Pipeline Management
 
 
 
 <ul>
 <li>
 Build and manage reusable and scalable data pipelines, optimizing data flows for efficiency and effectiveness.
 </li>
 <li>
 Assist with regular reporting queries and support developers using tools such as Alteryx, Power BI, and Azure.
 </li>
 <li>
 Develop and support integration of new data streams into Azure Data platform ensuring accessibility, reliability, and structure.
 
 
 </li>
 </ul>
 
 Collaboration and Leadership
 
 
 
 <ul>
 <li>
 Act as a team player, facilitating collaboration and knowledge sharing across engineering teams.
 </li>
 <li>
 Support integration of proven prototypes into core intelligence products, enhancing project delivery.
 </li>
 <li>
 Adapt to agile and waterfall methodologies, guiding teams through dynamic project environments for timely deliveries.
 
 
 </li>
 </ul>
 
 Required Skills To Be Successful
 
 
 
 <ul>
 <li>
 Expertise in Azure Data Factory, Databricks, and Azure Event Hubs.
 </li>
 <li>
 Proven experience in constructing and refining Big Data pipelines, architectures, and datasets.
 </li>
 <li>
 Strong analytical abilities for deriving insights from unstructured datasets.
 </li>
 <li>
 Experience with Azure DevOps for deploying ADF pipelines, ensuring continuous integration and delivery.
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 This role reports to Senior Manager.
 
 
 </li>
 </ul>
 
 What Equips You For The Role
 
 
 
 <ul>
 <li>
 10+ years of experience in data engineering, specifically within Azure and Databricks environments.
 </li>
 <li>
 Bachelor's or Master's degree in Data Management, Information Systems, Business, Computer Science, or related fields.
 </li>
 <li>
 Certifications in Azure Data Fundamentals and Databricks are preferred.
 </li>
 <li>
 Robust knowledge and experience with both relational and non-relational databases, and expertise in Python, PySpark, and SQL.
 
 
 </li>
 </ul>
 
 About Al-Futtaim Group Real Estate
 
 
 
 The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years.
 
 
 Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us.
 
 
 AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
 
 
 
 About Al-Futtaim Malls
 
 
 
 Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
 
 
 Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
 
 
 Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
 
 
 For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
 
 
 
 About Al-Futtaim Engineering &amp; Technologies
 
 
 
 Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions.
 
 
 The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation.
 
 
 The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services.
 
 
 These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.
</div>

Senior Data Engineer | Corporate Services | Group Tech &Dig Platforms

NGRS

We are looking for a Ruby Developer to join a strong engineering team (currently 10 Backend Engineers) at the prop trading company based in Dubai. This role is full-time on-site in Dubai.Tech Stack: Ruby on Rails, Sidekiq, PostgreSQL, RSpec, AWS.Responsibilities:<ul><li>Develop and maintain backend services in Ruby;</li><li>Work with large datasets and optimize system performance;</li><li>Build and support integrations with trading platforms and APIs (MT4/MT5);</li><li>Contribute to architecture decisions and infrastructure improvements;</li><li>Ensure reliability through testing, monitoring, and CI/CD practices;</li><li>Collaborate closely with backend, product, and trading teams.</li></ul>What kind of qualifications we are looking for:<ul><li>5+ years of experience as a software engineer;</li><li>Strong expertise in Ruby and OOP principles;</li><li>Experience with high-load data processing;</li><li>Experience with MT4/MT5 Manager API is a strong plus;</li><li>Experience in trading platforms/trading industry is a big plus;</li><li>Knowledge of infrastructure setup and maintenance;</li><li>Experience with frontend frameworks (React) is a plus;</li><li>Familiarity with CI/CD environments.</li></ul>We are offering:<ul><li>﻿﻿From $5,000 net monthly;</li><li>Visa for employment in the UAE;</li><li>Paid holidays;</li><li>Sick leave;</li><li>Health insurance;</li><li>Strong senior engineering team and high technical standards;</li><li>Zero bureaucracy, startup-like culture;</li><li>Opportunity to work with real-time financial data and high-load trading systems;</li><li>Impactful engineering role with real ownership and autonomy.</li></ul>Job Type: Full-timePay: From AED20,000.00 per monthWork Location: Remote

Ruby Developer

University of Wollongong in Dubai

<div>
 
 
 About UOWD
 
 
 
 Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
 
 
 University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
 
 
 
 
 
 The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
 
 
 
 
 
 Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.
 
 
 
 
 
 
 *QS World University Rankings 2023
 
 
 
 
 **Data from the Graduate Destination Survey 2017 to 2020
 
 
 
 
 
 
 
 About the School
 
 
 
 The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the January 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.
 
 
 
 
 
 The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.
 
 
 
 
 
 
 Requirements &amp; Responsibilities
 
 
 
 We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university.
 
 The position is offered at the Assistant Professor level
 
 , according to experience and qualification. It is a full-time position that requires the holder to contribute to the School&rsquo;s teaching, research and governance activities.
 
 
 
 
 
 The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.
 
 
 
 
 
 The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master&rsquo;s level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations, and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.
 
 
 
 
 
 As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 To qualify for the above role, candidate must have the following qualifications and experience
 
 
 &bull; PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution
 
 
 &bull; At least 4 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.
 
 
 &bull; Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.
 
 
 &bull; Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus
 
 
 &bull; An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science
 
 
 &bull; Fluency in the English language (both spoken and written)
 
 
 &bull; Excellent communication skills
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 &bull; Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems
 
 
 &bull; Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world
 
 
 &bull; Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.
 
 
 &bull; Working knowledge of Relational and Cloud databases
 
 
 &bull; Experience with Hadoop, HBase, Spark and other Big data management technologies
 
 
 &bull; Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).
 
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 
 The successful candidate will enjoy interaction with a professional and dynamic team of highly respected educators from over 50 different countries and exposure to students from over 100 nationalities.
 
 
 
 
 
 The University offers an expatriate package, which is an attractive tax-free salary. The expatriate package includes six weeks of paid leave per year, annual flight allowance and private medical insurance for the employee and eligible dependents, life and disability insurance, and education allowance for dependents. The University is located in Knowledge Park, Dubai and has excellent teaching, learning and research facilities as well as access to Library resources that meets international standards.
 
 
 
 
 
 
 UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.
 
 
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Assistant Professor - Computer Science (AI & Big Data)

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