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Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for Data Engineers to build the pipelines that power our analytics. You will be responsible for the extraction, transformation, and loading (ETL) of data, creating the reliable infrastructure needed for data science and business intelligence.Responsibilities<ul><li>Design, build, and maintain robust ETL/ELT pipelines to move data from various sources to centralized data warehouses/lakes.</li><li>Optimize data ingestion processes for performance, scalability, and reliability.</li><li>Develop complex SQL queries and scripts (Python/Scala) to transform raw data into usable formats.</li><li>Collaborate with Data Architects to implement data models and schemas effectively.</li><li>Monitor and troubleshoot data pipeline failures, ensuring high data availability for users.</li><li>Implement data partitioning and indexing strategies to optimize query performance.</li><li>Ensure data security and compliance during data transfer and storage.</li></ul>Requirements<ul><li>2&ndash;8 years of experience</li><li>Strong programming skills in Python, Scala, or Java.</li><li>Expert-level proficiency in SQL and experience with ETL tools (e.g., Azure Data Factory, Informatica, Talend).</li><li>Experience with big data technologies (Spark, Hadoop, Databricks).</li><li>Understanding of cloud data platforms (Azure Synapse, Snowflake).</li></ul>Bonus<ul><li>Azure Data Engineer Associate certification.</li><li>Experience with streaming data (Kafka, Event Hubs).</li><li>Knowledge of CI/CD for data pipelines.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED18,000.00 per month

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>

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer -

DICETEK LLC

<div>Key Responsibilities:
<ul><li>Analyze and interpret large datasets to generate actionable insights for business stakeholders.</li><li>
Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.</li><li>
Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.</li><li>
Map business requirements to data sources and identify data gaps or redundancies.</li><li>
Perform data profiling, validation and quality assessments.</li><li>
Support ETL/ELT processes and integration of multiple data sources</li><li>
Document data definitions, lineage and metadata to ensure consistencies and governance.</li></ul>
Required Skills and Qualifications:<ul><li>
5+ years of experience in data analysis and data modeling.</li><li>
Strong proficiency in SQL for querying, profiling and validation.</li><li>
Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.</li><li>
Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.</li><li>
Strong analytical, problem solving and communication skills.</li></ul>
Nice-to-have:<ul><li>
Knowledge of data governance, cataloging or lineage tools.</li><li>
Experience in cloud data migration or hybrid data environments.</li><li>
Understanding of business domain data models.</li></ul></div>

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

Durlston Partners

<div></div><div><div><div><div>Data Engineering, Software Engineering
</div><div>Up to $250,000 USD
</div><div>Abu Dhabi, Dubai</div><div> 
</div></div></div><div><div><div>Senior Data Engineer &ndash; ML Quant Fund &ndash; UAE &ndash; up to $250,000 USD

Opportunities for Data Engineers to do truly impactful work in the UAE remain scarce, with most buy-side firms keeping their core tech teams in London, New York, or Singapore. This team rewards people directly for the impact they make, with performance bonuses that genuinely reflect contribution.

Although the team prefer collaborating in person, the office is conveniently located. The most sought-after neighbourhoods in Abu Dhabi are only a 10&ndash;20 minute drive away. No tube strikes, no packed commutes, and no paying for a season ticket just to stand. A cab typically costs around &pound;8 one way.

It&rsquo;s also a place where people stay. Staff turnover is well below industry average, and most of the team have relocated from top buy-side firms across New York, London, Singapore, Hong Kong, and Paris.

What you&rsquo;ll do
<ul>
<li>Acquire and ingest datasets from various sources to meet business needs.</li>
<li>Design, build and manage robust data pipelines and infrastructure to ensure high data quality and reliability.</li>
<li>Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.</li>
<li>Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements.</li>
</ul>
What you&rsquo;ll need
<ul>
<li>6+ years&rsquo; experience in Data/Quant Engineering</li>
<li>Python, SQL</li>
<li>Modern data warehousing (Snowflake, Databricks, Redshift, etc.)</li>
<li>Apache Airflow or similar</li>
<li>Terraform</li>
<li>Cloud experience (AWS, Azure, GCP)</li>
<li>Familiarity with common financial datasets (Bloomberg, FactSet, S&amp;P Global, Macrobond, Finaeon, MSCI, etc.)</li>
</ul>
Why move to the UAE?
<ul>
<li>Ranked among the top 5 safest cities in the world</li>
<li>An emerging global hub for buy-side finance</li>
<li>Top international schools with school fees covered by the client for your family</li>
<li>Year-round sunshine; option to work from your home country in July/August</li>
<li>Significant tax advantages</li>
</ul>
For an informal discussion and to talk through your expectations, now: josh@durlstonpartners.com

If this role isn&rsquo;t right for you but you know someone who may be interested, we offer a market-leading referral scheme for anyone who refers a friend who successfully passes probation. T&amp;Cs.</div></div></div></div>

Senior Data Engineer

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

Explore 3684+ Data engineer in United Arab Emirates this December. Find roles across top companies and apply now to boost your career.

3684 data engineer jobs IN United Arab Emirates

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