data analyst

data scientist

senior data scientist

data architect

ai engineer

data engineer

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

Deeplight AI

<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>

Anotech

<div>
 
 
 Data Engineer
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Manage master data and user access (including RLS) in Power BI.
 </li>
 <li>
 Develop, optimize, and troubleshoot Power BI reports and dashboards.
 </li>
 <li>
 Build and maintain ETL pipelines (Talend) and ensure data quality.
 </li>
 <li>
 Integrate APIs for automated data flows.
 </li>
 <li>
 Support data governance, testing, and platform upgrades.
 </li>
 <li>
 Analyze issues across data systems and ensure reliable reporting.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Strong expertise in
 
 Power BI
 
 (DAX, Power Query, data modeling).
 </li>
 <li>
 Experience in
 
 ETL
 
 , SQL, data warehousing, and data modeling.
 </li>
 <li>
 Familiar with APIs, data governance, and performance optimization.
 </li>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science or related field.
 </li>
 <li>
 Power Apps / Power Automate experience is a plus.
 </li>
 </ul>
 
 
 Preferred
 
 
 
 
 
 <ul>
 <li>
 Experience with large datasets and relational DBs.
 </li>
 <li>
 Strong analytical and communication skills.
 </li>
 <li>
 Ability to work autonomously, collaborate effectively, and adapt to change.
 </li>
 </ul>
 
 
</div>

zoondia software

Location: Dubai Experience: 3-6 YearsAbout the Role:We are looking for a skilled Data Engineer to join our team in Dubai. You will work with cross-functional teams to manage data systems, build robust data pipelines, and support analytics and reporting solutions using Power BI and Talend. The ideal candidate has strong technical expertise, a data-oriented mindset, and experience handling diverse data sources and integration challenges.Roles &amp; Responsibilities<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li><li>Administer user access and roles, including Row-Level Security configurations.</li><li>Handle and process confidential data in accordance with internal guidelines.</li><li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li><li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li><li>Configure and connect APIs to support data automation and integration.</li><li>Support initiatives focused on data quality, integrity, and standardization.</li><li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li><li>Generate reports from single or multiple source systems.</li><li>Diagnose and resolve issues within the reporting environment and datasets.</li><li>Assess the impact of changes or updates to source production systems.</li><li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li><li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li><li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li><li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li></ul>Qualification<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li><li>Strong understanding of data modeling principles.</li><li>Experience connecting and integrating APIs with Power BI.</li><li>Proficiency in ETL processes and data preparation.</li><li>Knowledge of SQL (querying, joins, transformations).</li><li>Familiarity with data warehousing and relational database concepts.</li><li>ETL Development &amp; Data Integration.</li><li>Data Modeling (Star/Snowflake Schemas).</li><li>Experience with Power Automate and/or Power Apps (nice to have).</li><li>Understanding of data governance, data quality, and normalization concepts.</li><li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li><li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li><li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li></ul>Preferred Skills<ul><li>Work experience as a data analyst or in a related field.</li><li>Ability to analyze existing tools and databases and provide software solution recommendations.</li><li>Demonstrated experience in handling large data sets and relational databases.</li><li>High-level written and verbal communication skills.</li><li>Teamwork and willingness to perform through cooperation.</li><li>Strong attention to detail.</li><li>Willingness to embrace change and solve problems.</li><li>Passion for digital transformation.</li><li>Strong analytical mindset; data-oriented.</li><li>Familiarity with low-code applications is a plus.</li><li>Knowledge or experience with NDA and data sensitivity.</li><li>Ability to communicate with English-speaking and multicultural stakeholders.</li><li>Familiar with supporting processes.</li><li>Comfortable working autonomously and taking initiatives.</li></ul>How to ApplySend your resume to soumya@zoondia.inJob Type: Full-time

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 -

zoondia

<div><h3 class="jobSectionHeader">ROLES &amp; RESPONSIBILITIES</h3>
<ul><li>Manage master data, including creation, updates, and deletion within Power BI.</li>
<li>Administer user access and roles, including Row-Level Security configurations.</li>
<li>Handle and process confidential data in accordance with internal guidelines.</li>
<li>Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.</li>
<li>Maintain, optimize, and troubleshoot existing Power BI dashboards.</li>
<li>Configure and connect APIs to support data automation and integration.</li>
<li>Support initiatives focused on data quality, integrity, and standardization.</li>
<li>Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.</li>
<li>Generate reports from single or multiple source systems.</li>
<li>Diagnose and resolve issues within the reporting environment and datasets.</li>
<li>Assess the impact of changes or updates to source production systems.</li>
<li>Apply technical expertise in data storage structures, data mining, and data cleansing.</li>
<li>Contribute to the development of low-code applications (Power Apps) aligned with business needs.</li>
<li>Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).</li>
<li>Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.</li>
</ul><h3 class="jobSectionHeader">QUALIFICATION</h3>
<ul><li>Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).</li>
<li>Strong understanding of data modeling principles.</li>
<li>Experience connecting and integrating APIs with Power BI.</li>
<li>Proficiency in ETL processes and data preparation.</li>
<li>Knowledge of SQL (querying, joins, transformations).</li>
<li>Familiarity with data warehousing and relational database concepts.</li>
<li>ETL Development &amp; Data Integration.</li>
<li>Data Modeling (Star/Snowflake Schemas).</li>
<li>Experience with Power Automate and/or Power Apps (nice to have).</li>
<li>Understanding of data governance, data quality, and normalization concepts.</li>
<li>Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.</li>
<li>Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).</li>
<li>Educational: Bachelor&rsquo;s/Master&rsquo;s degree from an accredited university or college in a computer science&ndash;related program.</li>
</ul><h3 class="jobSectionHeader">PREFERRED SKILLS</h3>
<ul><li>Work experience as a data analyst or in a related field.</li>
<li>Ability to analyze existing tools and databases and provide software solution recommendations.</li>
<li>Demonstrated experience in handling large data sets and relational databases.</li>
<li>High-level written and verbal communication skills.</li>
<li>Teamwork and willingness to perform through cooperation.</li>
<li>Strong attention to detail.</li>
<li>Willingness to embrace change and solve problems.</li>
<li>Passion for digital transformation.</li>
<li>Strong analytical mindset; data-oriented.</li>
<li>Familiarity with low-code applications is a plus.</li>
<li>Knowledge or experience with NDA and data sensitivity.</li>
<li>Ability to communicate with English-speaking and multicultural stakeholders.</li>
<li>Familiar with supporting processes.</li>
<li>Comfortable working autonomously and taking initiatives.</li>
</ul>
Experience : 3-6 years</div>

Explore 5023+ Data engineer in Uae this December. Find roles across top companies and apply now to boost your career.

5023 data engineer jobs IN Uae

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Azure Data Engineer -

Data Engineer