data analyst

data scientist

data engineer

business data analyst

senior data engineer

data engineering

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 This role will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data flow across systems, and optimizing data infrastructure. You will collaborate with cross-functional teams, assist with production support, and drive process optimizations to ensure a seamless data ecosystem for business operations. Strong Databricks experience is a must.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
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 Data Pipeline Development:
 
 Design, build, and maintain robust data pipelines using Azure Data Factory (ADF), Azure Databricks, ADLS Gen 2 and PySpark, ensuring efficient data collection, processing, and storage from various sources.
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 DataBricks Expertise:
 
 Have extensive experience working with DataBricks; including resource provisioning, understanding tools and modules available, and being able to share knowledge and expertise in DataBricks to contribute to optimization of this platform.
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 Data Integration:
 
 Integrate data from multiple structured and unstructured sources, including APIs, third-party systems, and databases (SQL, Oracle), ensuring smooth data flow across the ecosystem.
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 Data Warehousing:
 
 Design, develop, and optimize data lakes and warehouses on platforms like Databricks, Azure Synapse and ADLS, supporting analytics and reporting needs.
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 ETL/ELT Development:
 
 Develop and optimize ETL processes for efficient data extraction, transformation, and loading, using tools like ADF and custom pipelines.
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 Process Optimization:
 
 Automate and streamline data workflows (incremental loads, email notifications, pipeline runs) to enhance system performance and reduce costs.
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 Production Support &amp; Resolution
 
 : Troubleshoot and resolve production failures within SLAs, ensuring minimal downtime and high data availability. Provide support during business hours and extended hours, (and if critical P1 failures on weekends in rotation with others), as required.
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 Go-Live &amp; Project Support
 
 : Support the successful migration and implementation of new code and solutions. Utilizing Azure DevOps CI/CD.
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 Team Management
 
 : Lead and manage vendor staff, ensuring smooth execution of projects or operations support as assigned. Ensuring SLAs or project milestones are met on time, and providing mentorship to junior team members.
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 Innovation &amp; Optimization
 
 : Design scalable, high-performance data architectures and promote innovation, cost-efficiency, and operational excellence.
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 Documentation &amp; Knowledge Transfer
 
 : Create and maintain clear documentation for processes, operations, and technical solutions, including knowledge transfer documents and data catalogue updates.
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 Monitoring &amp; System Oversight
 
 : Monitor system performance, identify opportunities for optimization, and ensure platform scalability to meet future needs.
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 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
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 Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
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 Proven experience working with cloud-based infrastructure, particularly Azure
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 Proven experience working with DataBricks.
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 Experience with containerization tools (Docker, Kubernetes) and CI/CD pipelines
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 Proficient in English
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 Preferred knowledge of machine learning workflows and model deployment
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 Preferred proficiency in Arabic
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 </ul>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
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 6+ years of experience in data engineering, production support, and pipeline management
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 Cloud Platforms: ADLS Gen 2, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and DevOps, Azure Key Vault
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 Programming/Querying: Python, PySpark, SQL
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 Automation &amp; Monitoring: Custom automation tools, failure email triggers, performance monitoring solutions
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 Preferred experience in project management
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 Excellent leadership, communication, and problem-solving skills is a plus
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 </ul>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
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 Handles diverse tasks and meets deadlines under pressure
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 Works independently and responsibly
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 Skilled negotiator with vendors
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 Executes clear strategies aligned with corporate goals
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 Communicates effectively with technical and non-technical audiences
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 Leads professionally and fosters teamwork
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 Manages change and adapts quickly with critical thinking
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 Applies systematic problem-solving and agile decision-making
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 Promotes collaboration, innovation, transparency, and accountability
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 </ul>
</div>

Senior Specialist - Data Engineering (Contract - For Immediate Hire)

Talabat

Job Details Location: United Arab Emirates Location: Dubai Industry: Information Technology (IT) Function: Software Engineering / Development Gender: Any Candidate Nationality: Any Candidate Preferred Location: Any Job Type: Full-time What You ll Do * Develop and maintain scalable data pipelines for batch and streaming use cases * Work with Apache Kafka for real-time ingestion and event-driven architectures * Use GCP and AWS tools such as BigQuery, Dataflow, S3, and Lambda for storage and processing * Orchestrate workflows using Airflow or equivalent scheduling tools * Ensure data quality and reliability with monitoring, alerting, and validation systems * Collaborate with data scientists, analysts, and product teams to deliver data solutions * Optimize systems for both cost efficiency and performance across cloud platforms * Participate in code reviews, documentation, and technical knowledge sharing Candidate Requirements * 1 3 years of experience in data engineering, software engineering, or related field * Proficiency in SQL and at least one programming language (Python preferred) * Understanding of ETL/ELT processes and data modeling concepts * Familiarity with cloud-based data warehouses and streaming tools such as Kafka * Experience working with GCP, AWS, or Azure environments * Strong communication skills for technical and non-technical collaboration * Growth mindset with eagerness to learn and take on new challenges Nice to Have * Knowledge of infrastructure-as-code tools like Terraform or CloudFormation * Experience with Docker or Kubernetes * Familiarity with data governance, security, and compliance practices

Data Engineer

Bourntec Software Solutions LLC

Greetings from Bourntec Solutions!!! Please review the job details and share the required details if you are interested in proceeding further.If you are not interested, I request you to help me reach the right candidate. Role: - Data EngineerLocation: - DubaiMode of hiring/Duration: - 12 Months Extendable contractAvailability: - Must be available to join within 30 days.Number of Positions: - 3 Job Description: -KEY ACCOUNTABILITIESKey accountabilities are areas of responsibility that are essential of the positionDevelop, test, and maintain data pipelines using:<ol type="a"><ol type="a"><li>Azure Data Factory (ADF)</li><li>Azure Data Lake Storage (Gen2)</li><li>Azure SQL, and/or Azure Synapse</li></ol></ol>Assist in building and deploying ETL/ELT workflows for structured and semi-structured data sources.Collaborate with data analysts, data scientists, and business teams to gather data requirements and implement solutions.Ensure data accuracy, integrity, and availability across systems.Monitor and troubleshoot pipeline executions and performance issues.Follow best practices for data governance, security, and access control within the Azure ecosystem.Document technical designs, workflows, and deployment steps.Experience Required<ul><li>5–10 years of experience in data engineering or similar roles.</li><li>Working knowledge of Azure Data Factory, Azure Data Lake, and Azure SQL.</li><li>Familiarity with ETL/ELT concepts and data integration techniques.</li><li>Strong understanding of SQL and basic scripting (Python or PowerShell preferred).</li><li>Good grasp of data modeling concepts, data types, and file formats (e.g., CSV, JSON, Parquet).</li><li>Ability to work in a collaborative team environment and follow agile delivery methodologies.</li><li>Exposure to Azure Synapse Analytics, Databricks, or Power BI.</li><li>Familiarity with source control systems like Git and CI/CD tools (Azure DevOps).</li></ul>· Knowledge of basic cloud networking, identity, and security in Azure.Education & Certifications:1. Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.Microsoft Azure certifications(e.g., DP-203: Data Engineering on Microsoft Azure) preferred. Please share the following details to proceed further.Reason for looking for job change: -Current SalaryExpected Salary: -Notice PeriodUpdated Resume: -Please attachThanksVijin.a@bourntec DOT comwww.bourntec DOT me

Data Engineer role in Dubai

Client of Involved Solutions

The Head of Data &amp; AI will define and implement the companies' data and AI roadmap, ensuring data integrity, analytics maturity, and the integration of AI across key business areas. This includes building scalable data platforms, leading data science initiatives, and partnering with technology and business teams to drive value from data.You'll lead a cross-functional team covering data engineering, data science, and analytics, with a focus on enabling decision intelligence, predictive modelling, and GenAI applications that enhance customer experience and operational efficiency.

Head of Data & AI

The First Group

<div>Overview:
<div>
Headquartered in Dubai, UAE, The First Group is a dynamic, integrated global property developer with a fast-growing portfolio of upscale hotels, residential properties, F&amp;B brands and real estate asset management services. Since our launch in 2005, we have carved a highly successful niche offering unrivalled property investment opportunities in high-growth markets to clients from more than 70 countries worldwide.</div><div></div><div> 
We were among the first developers to identify the tremendous potential in providing private investors the opportunity to purchase hotel guestrooms, suites and serviced apartments in our collection of upscale properties located in highly popular locations across Dubai. We back up our success with a list of International Property awards along with strategic partnerships with companies such as Wyndham Hotel group, Millennium Hotels, Emirates Airlines and Jumeirah Hotels and Resorts.</div><div></div><div> 
To successful candidates, we offer a diverse progressive corporate working environment with clear growth potential along with award winning sales &amp; marketing tools, a state of the art showroom featuring Dubai&rsquo;s only virtual helicopter tour and endorsements from a number of international sporting celebrities.</div>
Job Description:
<div>
We are seeking a motivated and curious Power BI &amp; AI Automation Intern to assist in the development, optimization, and automation of data-driven solutions using Power BI, Azure OpenAI (ChatGPT Enterprise), Python, and SQL. 
The intern will work closely with our Data Engineering and Business Intelligence teams to design dashboards, integrate AI-powered analytics, and enhance our data pipeline for actionable insights.</div><div></div><ul><li><div> 
Design, develop, and maintain Power BI dashboards that visualize business KPIs and performance metrics.</div></li><li><div>
Collaborate on building data models and ETL workflows using SQL and Python.</div></li><li><div>
Leverage Azure OpenAI (Enterprise ChatGPT) to create and deploy intelligent business chat solutions, automate workflows, and support internal decision-making tools.</div></li><li><div>
Assist in integrating AI and NLP features into business intelligence tools and applications.</div></li><li><div>
Support the data governance and quality assurance processes by validating and cleaning datasets.</div></li><li><div>
Document project progress, code, and system configurations clearly and efficiently.</div></li><li><div>
Participate in brainstorming and prototyping sessions for innovative data and AI solutions.</div></li></ul>
Desired Skill &amp; Expertise:
<h3 class="jobSectionHeader">Technical Skills</h3><ul><li><div>
Power BI: Dashboard development, DAX queries, Power Query, data modeling, and report optimization.</div></li><li><div>
SQL: Strong understanding of data extraction, joins, aggregations, stored procedures, and performance tuning.</div></li><li><div>
Python: Experience with libraries such as pandas, numpy, and matplotlib for data manipulation and analysis.</div></li><li><div>
Azure &amp; OpenAI Services:</div><ul><li><div>
Familiarity with Azure OpenAI / ChatGPT Enterprise integrations and API usage.</div></li><li><div>
Understanding of prompt engineering and AI-assisted data analytics.</div></li></ul></li><li><div>
Data Integration: Experience connecting Power BI to SQL databases, Excel, or APIs.</div></li><li><div>
Version Control: Basic knowledge of Git or GitHub for collaboration.</div></li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li><div>
Analytical mindset with strong problem-solving and data interpretation abilities.</div></li><li><div>
Eagerness to learn new tools and technologies in the AI and data analytics domain.</div></li><li><div>
Excellent communication skills for presenting data insights to non-technical stakeholders.</div></li><li><div>
Ability to work independently and collaboratively within a cross-functional team.</div></li></ul></div>

Power BI and AI Automation - Intern

Easa Saleh Al Gurg Group LLC

1. Delivery Management - Own the planning, execution, and delivery of data lake and analytics projects across business units. - Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines. - Monitor delivery timelines, risks, and budgets to ensure successful project outcomes. - Apply Agile/DevOps practices for faster and more reliable releases. 2. Data Lake & Platform Execution - Manage integration of structured and unstructured data into the enterprise data lake. - Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid). - Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.). 3. Analytics Enablement- Deliver reporting, dashboards, and self-service analytics capabilities for business users. - Partner with data scientists and analysts to operationalize advanced analytics and ML models. - Ensure solutions meet business KPIs and enable measurable outcomes. 4. Governance & Quality - Implement data quality checks, monitoring, and remediation processes. - Enforce governance policies including data privacy, compliance, and security. - Maintain metadata management and data cataloging practices. 5. Team & Vendor Management - Lead and mentor data engineering and analytics delivery teams. - Manage vendor and partner engagements to ensure delivery commitments are met. - Allocate resources effectively across multiple programs.

Data Lake & Analytics Delivery Head

EMIRATES GLOBAL ALUMINIUM (EGA)

KEY ACCOUNTABILITIES:<ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul>AUTHORITY/ DECISION MAKING:<ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

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