planning engineer

data analyst

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ai engineer

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database engineer

DICETEK LLC

Manage, develop, and optimize enterprise Oracle databases. The ideal candidate will have strong experience in Oracle database administration including installation, configuration, backup and recovery, performance tuning, and security management, combined with PL/SQL development for stored procedures, functions, triggers, and complex queries. The role involves collaborating with solution architects, backend developers, and business analysts to ensure efficient, secure, and scalable database solutions. Familiarity with ETL processes, CI/CD pipelines, data migration, and enterprise best practices for database design and management is highly desirable.
 
Strong analytical, problem-solving, and communication skills are essential to maintain high-performing, reliable, and maintainable Oracle database environments.

DBA oracle

Best Choice Recruitment Consultancy

Looking for a Data Engineer who will build and manage ETL Pipelines on-prem to cloud ( bronze-silver-gold). Who will monitor DAGs ( workflow scheduling systems, ETL, ETC) automates backups , and validates transformations . Must have skills in Azure Data Factory , Fabric Pipelines, GIit, Airflow, Oracle , SQL , Python, Automation , onelake, Delta parquets , key-vaults and encryptionSalary will depend on years of experience, qualifications and exposure in the UAE marketJob Type: Full-timePay: AED15,000.00 - AED30,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>data engineer : 6 years (Preferred)</li><li>building and managing ETL pipeline : 6 years (Preferred)</li><li>Azure Data Factory : 6 years (Preferred)</li><li>Fabric pipelines : 6 years (Preferred)</li><li>Git: 6 years (Preferred)</li><li>Oracle : 6 years (Preferred)</li><li>Delta parquets : 6 years (Preferred)</li><li>key-vaults : 6 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li><li>Arabic (Preferred)</li></ul>

Data Engineer - Bilingual

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

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
Responsibilities of the role: 
<ul><li>
Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.</li><li>
Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.</li><li>
Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).</li><li>
Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.</li><li>
Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.</li><li>
Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.</li><li>
Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).</li><li>
Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).</li><li>
Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing.</li></ul>
Requirements<ul>
<li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
</li><li>Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.</li>
<li>Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).</li>
<li>Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.</li>
<li>Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).</li>
<li>Experience with production monitoring tools to detect data drift or model decay.</li>
<li>Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.</li>
<li>Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.</li>
<li>Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

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>

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

Explore 1349+ Database engineer in Dubai this December. Find roles across top companies and apply now to boost your career.

1349 database engineer jobs IN Dubai

DBA oracle

DBA oracle

Data Engineer - Bilingual

Senior Data Management Engineer

Data Engineer

Data Engineer

Data Engineer - Intern