data analyst

data scientist

software engineer

technical engineer

ai engineer

data engineer

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

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

Synechron

<div>
 
 Greetings,
 
 
 
 
 
 We have an immediate vacancy for an
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 with over 7 years of experience at Synechron, based in Dubai.
 
 
 
 
 
 Job Role:
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 
 
 
 Location: Dubai
 
 
 
 
 
 
 
 
 
 About Company:
 
 
 
 At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 40 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
 
 
 
 
 
 
 Diversity, Equity, and Inclusion
 
 
 
 
 
 
 
 Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
 
 
 
 
 We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
 
 
 
 
 
 
 
 
 
 
 
 Job Descriptions:
 
 
 
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Degree, Post graduate in Computer Science or related field (or equivalent industry experience).
 </li>
 </ul>
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python, with a strong focus on document classification, cleansing, quality metrics, and the ability to work with LLMs, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning, enabling the development of AI-first applications across the enterprise.
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 
 Build robust, scalable data processing pipelines for unstructured documents (PDFs, emails, forms, etc.) using PySpark and Python.
 </li>
 <li>
 Implement document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications.
 </li>
 <li>
 Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.
 </li>
 <li>
 Engineer vector embeddings, document chunking, and metadata tagging for semantic search and question-answering systems.
 </li>
 <li>
 Collaborate closely with AI architect, AI/Data engineers, and platform teams to design end-to-end AI solutions.
 </li>
 <li>
 Communicate data readiness, pipeline quality, and model integration strategies clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Apply Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Overall 5+ years of commercial experience with 2+ years in relevant role
 </li>
 <li>
 Strong proficiency in PySpark and distributed data frameworks.
 </li>
 <li>
 Solid experience in core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS, etc.).
 </li>
 <li>
 Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).
 </li>
 <li>
 Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.
 </li>
 <li>
 Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.
 </li>
 <li>
 Experience working in agile environments, collaborating with cross-functional teams.
 </li>
 <li>
 Excellent communication skills with the ability to interface with both technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI/ML Data Engineer

flydubai

<div>MAIN OBJECTIVE OF ROLE: To design, build, and maintain scalable data architectures and pipelines using AWS services, focusing on efficiently ingesting, processing, and transforming data to ensure high quality and accessibility for analytics and reporting. KEY RESPONSIBILITIES:
<ul><li>Designs, builds and maintains scalable data pipelines to ingest and process data from various sources.</li><li>
Leverages Amazon Web Services (AWS) tools like AWS Glue, Amazon S3, Amazon Redshift, and Amazon RDS to manage data pipeline, storage, transformation, and analytics.</li><li>
Builds and maintains Cloud framework for orchestrating data-pipelines, continuously optimizing and enhancing it to integrate new data sources effectively.</li><li>
Develops Extract, Transform, Load (ETL) processes to ensure data is cleaned, transformed, and loaded into data warehouses. Use appropriate scripting such as PySpark, Python, Scala to perform data transformations.</li><li>
Automates data integration and processing tasks to enhance efficiency and reduce manual intervention.</li><li>
Sets up monitoring tools to track data pipeline performance and troubleshoot issues as they arise.</li><li>
Maintains comprehensive documentation of data architectures, processes, and workflows, ensuring updates are made consistently with every release.</li><li>
Follows defined Data Governance policies and guidelines and enforces team to align with standard procedures.</li><li>
Ensures data security and compliance with relevant regulations, including GDPR or industry-specific guidelines.</li><li>
Leads the junior data engineers, provide technical guidance, manage work allocation and delivery.</li><li>
Leads and mentors junior data analysts, collaborate with cross-functional teams to meet data needs, implements data governance practices, and optimizes performance to support informed decision-making within the organization.</li></ul>
QUALIFICATIONS:
<ul><li>Bachelor's Degree (3+ years)</li><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related field</li><li>
Fluent in English</li><li>
Must have 8+ years of industry experience, with 5 years working with design and development of data pipelines at enterprise scale. Hands on experience in building streaming, batch pipelines for structured, semi-structured data Must have, solid experience in handling large volume of data and performing transformation using scripts such as PySpark, Scala, Python. Must have experience working with AWS cloud services including EMR, Lambda, MKS, Redshift, GLue, Preference for working experience in airline industry</li><li>
AWS EMR, MKS, Glue, PySpark, Python, Scala, OpenSearch, Redshift, Dynamo DB, RDS</li><li>
Years with qualifications: 8 - 10 years</li></ul>
COMPETENCIES:
<ul><li>Customer Focus</li><li>
Teamwork</li><li>
Effective Communication</li><li>
Personal Accountability &amp; Commitment to achieve</li><li>
Resilience &amp; Flexibility (Can do attitude)</li></ul>
ISR Requirements: Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.</div>

Senior Data Engineer - IT

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Senior Data Management Engineer for one of our partners, a global leader in the IT Services and IT Consulting.
 
Job Summary: 
We are looking for a Senior Data Management Engineer / Senior Data Engineer with strong experience in data architecture, integration, and transformation, particularly with Informatica. The ideal candidate will be responsible for designing and implementing end-to-end data solutions that enable data accessibility, quality, and governance across the enterprise.
 You will work closely with cross-functional teams to understand business requirements and translate them into scalable, reliable, and secure data systems.
 
Responsibilities: 
<ul>
<li>Design, build, and maintain data pipelines and ETL processes using Informatica</li>
<li>Develop and optimize data integration workflows for structured and unstructured data</li>
<li>Ensure data quality, consistency, and security across platforms</li>
<li>Collaborate with business analysts, data architects, and developers to align data solutions with business needs</li>
<li>Maintain documentation of data flows, processes, and systems</li>
<li>Troubleshoot and resolve data-related issues and performance bottlenecks</li>
<li>Participate in data modeling and architecture discussions</li>
</ul>
Requirements: 
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, or related field</li>
<li>3 to 4 years of experience in data engineering or data management roles</li>
<li>Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li>
<li>Proficiency in SQL and experience working with relational databases (Oracle, SQL Server, etc.)</li>
<li>Solid understanding of data warehousing concepts and architecture</li>
<li>Experience with data governance and metadata management</li>
<li>Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is a plus</li>
<li>Excellent communication skills in English (Very Good Level)</li>
<li>Being an ARABIC speaker is a must.</li>
</ul>

Senior Data Management Engineer

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 65+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.
We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.
You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.
Up to break barriers and shape what's next for the future of Revolut&rsquo;s AI-driven capabilities? Let's get in touch.
What you&rsquo;ll be doing<ul><li>
Building AI-driven features from scratch, like personal assistants, chatbots, copilots, and more</li><li>
Developing user-focused and backend features using deep learning</li><li>
Delivering impactful, scalable, data-driven AI solutions</li><li>
Collaborating with Product, Engineering, and Data teams to solve deep learning challenges</li><li>
Integrating cutting-edge AI technologies to drive innovation at Revolut</li></ul>
What you'll need<ul><li>
Experience in deep learning within natural language processing area and large language models</li><li>
A bachelor's degree in a STEM major (mathematics, computer science, engineering)</li><li>
Excellent knowledge of data science (Python, SQL) and production tools</li><li>
A deep understanding of probability and statistics fundamentals</li><li>
Big-picture thinking to correctly diagnose problems and productionise research</li><li>
Excellent communication and collaboration skills to partner with Product Owners and business heads</li></ul>
Nice to have<ul><li>
A master's or PhD in a quantitative discipline</li><li>
Solid experience with additional programming languages, such as Java, Scala, C++</li><li>
Experience at a large tech company worth &gt;$15B</li><li>
School/university Olympic medal competitions in physics, maths, economics, or programming</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Data Scientist (NLP Deep Learning Engineer)

Avanza Solutions

As a Data Architect for Data,&#8239;you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.&#8239;In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you&rsquo;ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.Key Requirements:&middot; 12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud&middot; At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.&middot; Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,&middot; Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.&middot; Strong Spark, SQL, Data Modeling, Data lakehouse concepts.&middot; Programming / scripting experience using python and scala.&middot; 6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads&middot; 4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics&middot; 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.&middot; Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders&middot; Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions.&middot; Experience with Agile development methods in data-oriented projects&middot; Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)&middot; Certifications in architecture, data engineering and development from Azure is preferred&middot; Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.Data Specialization:&middot; Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases&middot; Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities&middot; Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations&middot; Be the technical liaison between customers and engineering teams&middot; Be a big data evangelist by educating a variety of customers on the value of cloud and data services&middot; Ensure solutions are optimized for Azure&rsquo;s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs.&middot; Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management.&middot; Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault.&middot; Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA).&middot; Conduct risk assessments and remediate vulnerabilities across the Azure environment.&middot; Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity.&middot; Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC).&middot; Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features.&middot; Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement.General Consultancy:&middot; Present recommendations to clients using both written deliverables and face-to-face discussions&middot; Develop deep relationships with clients and act as the single point of contact for client executives on data engagements&middot; Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.&middot; Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.&middot; Guide customers during big data and cloud adoption by:<ul><li>Understanding drivers of technology change</li><li>Building business cases to undertake technology change</li><li>Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change</li><li>Identify gaps in customer maturity and capabilities in relation to their data strategy.</li><li>Identify areas of opportunity, and recommend future state improvements</li><li>Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.</li><li>Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.</li><li>Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.</li></ul>Certifications:&middot; Microsoft Certified: Azure Solutions Architect Expert (preferred).&middot; Microsoft Certified: Azure Security Engineer Associate (preferred).Preferred Skills:&middot; Experience with hybrid and multi-cloud environments.&middot; Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions.Familiarity with advanced analytics, AI, and machine learning use cases on Azure.Job Type: Contract Contract length: 6 monthsPay: AED20,000.00 - AED24,000.00 per month

Data Architect

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