planning engineer

estimation engineer

business analyst

project engineer

sales engineer

data engineer

Healthsoft Middle East

Senior Data Engineer <ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul>Job Type: Full-time

Senior Data Engineer

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Servoo General Trading LLC

Job PurposeTo design, build, and maintain the company&rsquo;s data ecosystem by automating the flow of information from multiple sources &mdash; including the e-commerce platform, mobile app, and supplier systems &mdash; into a centralized database.The role will also develop dashboards, KPIs, and automated reporting to help management make informed, real-time decisions with minimal manual effort.Key ResponsibilitiesArea Main TasksData Pipeline Development Build and maintain ETL/ELT pipelines to automatically ingest and update data from the e-commerce platform, mobile app, supplier CSV/API feeds, and internal sales/acquisition systems.Data Modeling &amp; Storage Design and optimize relational databases (MySQL/PostgreSQL or similar) to hold clean, structured, scalable data.Automation &amp; Workflow Integration Use Python, APIs, and workflow tools (e.g., n8n, Airbyte, Fivetran) to automate repetitive tasks such as importing supplier files, updating product pricing, and triggering alerts.Business Intelligence &amp; Dashboards Create interactive dashboards and reports (Power BI, Tableau, or similar) to track KPIs like sales, customer acquisition, product performance, and marketing ROI.Data Quality &amp; Governance Maintain clean, consistent master data (SKUs, product IDs, pricing). Monitor and improve data accuracy and completeness.Collaboration &amp; Support Work with management, marketing, and operations teams to understand their data needs and deliver actionable insights.Required Qualifications &amp; SkillsEducation: Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).Technical Skills:Strong SQL (data modeling, optimization, queries).Proficiency in Python for automation, data manipulation, and API integrations.Experience with ETL/ELT tools (n8n, Airbyte, Fivetran, custom Python pipelines).Familiarity with cloud platforms (AWS/GCP/Azure) and version control (Git).Advanced knowledge of data visualization (Power BI, Tableau, Looker).Understanding of API integration &amp; web scraping for data ingestion.Analytical &amp; Business Skills:Ability to define and track KPIs for e-commerce performance, customer acquisition, and sales trends.Strong problem-solving and data-driven decision-making.Soft Skills: Excellent communication, structured thinking, and ability to work cross-functionally.Preferred ExperienceBackground in e-commerce or retail data environments.Experience setting up fully automated data pipelines with minimal manual intervention.Building self-refreshing dashboards and scheduled reporting.Exposure to CRM and marketing data (campaign tracking, customer segmentation).Job Type: Full-time

Data Engineer/ BI Developer

Intelligent Solutions HR

<div>
 
 
 
 General Overview:
 
 
 
 
 
 
 
 Intelligent Solutions has partnered with a leading insurance company to hire a Senior Data Analyst. This role is responsible for designing, building, and operationalizing the company&rsquo;s data infrastructure and analytics ecosystem, supporting business intelligence across health, life, marine, and aviation lines of business.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 Data Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 Design and implement scalable ETL pipelines across internal and third-party systems (core platforms, TPAs, reinsurers, CRMs).
 </li>
 <li>
 Support the design of data warehouse/Lakehouse architectures using modern cloud tools (Azure, AWS, etc.).
 </li>
 <li>
 Develop reusable data models and transformation logic ensuring consistency and reliability.
 </li>
 <li>
 Integrate policy, claims, medical coding, and financial datasets for unified reporting and analytics.
 </li>
 </ul>
 
 
 
 
 
 Business Analytics &amp; Reporting
 
 
 
 
 
 <ul>
 <li>
 Build automated dashboards and KPIs across underwriting, claims, finance, and customer experience.
 </li>
 <li>
 Deliver actionable insights through data visualizations using Power BI or Tableau.
 </li>
 <li>
 Conduct ad-hoc analysis to support strategic and operational decisions.
 </li>
 <li>
 Develop analytics frameworks for monitoring pricing performance, loss ratios, and channel efficiency.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Compliance
 
 
 
 
 
 <ul>
 <li>
 Implement data quality checks, validation rules, and exception handling within ETL processes.
 </li>
 <li>
 Maintain documentation on data lineage and ownership.
 </li>
 <li>
 Ensure compliance with UAE regulatory standards (DHA, IFU, CBUAE) and audit readiness.
 </li>
 <li>
 Data Science &amp; Advanced Analytics
 </li>
 <li>
 Prepare structured datasets for predictive modelling (e.g. fraud detection, lapse prediction, health risk scoring).
 </li>
 <li>
 Support model development, feature engineering, and data enrichment in collaboration with the Head of Data Analytics.
 </li>
 </ul>
 
 
 
 
 
 
 Key Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Engineering, Computer Science, or related field.
 </li>
 <li>
 5&ndash;7 years of experience in data engineering or analytics, preferably in insurance or financial services.
 </li>
 <li>
 Advanced skills in SQL, Power BI/Tableau, and ETL tools; proficiency in Python or R.
 </li>
 <li>
 Knowledge of insurance data structures (ICD-10, CPT codes) and regulatory reporting in the UAE.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills with a customer-centric, &ldquo;make-it-happen&rdquo; mindset.
 </li>
 <li>
 Collaborative, detail-oriented, and adaptable to fast-paced environments.
 </li>
 </ul>
</div>

Senior Data Analyst

DICETEK LLC

<div>Primary Skillset:<ul><li>
Proficient in SQL, SSIS, Python, Power BI, ETL development and validation</li><li>
Hands on experience in data analysis tools and database development</li><li>
Experience in conducting data profiling, data quality, data lineage and data completeness</li><li>
Understanding of customer onboarding, and domestic/cross-border (SWIFT) payment gateways, payment types, tags</li><li>
Strong communication and client management skill</li></ul>
Secondary Skillset:<ul><li>
Knowledge of sanctions screening processes</li><li>
Experience in fine tuning of Sanctions screening systems (Fircosoft/Safewatch/Omni/Siron)</li><li>
Experience in sanctions screening system validation (Fircosoft/Safewatch/Omni/Siron), fine-tuning, list management, name and payment screening processes, screening exclusions and project management.</li></ul></div>

Data Analyst

EPAM Systems

<div>EPAM is looking for a talented Data Scientist to join our team in Abu Dhabi. You will work on a dynamic fintech project that is transforming digital financial services across the region.
In this role, you will work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to develop AI solutions for financial services. This role combines machine learning, natural language processing and data science skills to create intelligent systems that enhance our fintech platform&rsquo;s capabilities. You will collaborate with experienced team members while developing your expertise in cutting-edge AI technologies for financial applications.
If you are eager to grow your expertise in AI, passionate about data science and motivated to impact the future of digital finance, then this unique opportunity is for you.
Responsibilities<ul><li>
Design, develop and deploy language models and RAG systems for financial applications, optimizing and fine-tuning models</li><li>
Support research initiatives in language models and retrieval-augmented generation, staying updated with the latest advancements in NLP, machine learning and AI</li><li>
Collect, preprocess and analyze datasets to support model training and evaluation, contributing to data pipeline development</li><li>
Evaluate model performance using appropriate metrics and methodologies, identifying areas for improvement</li><li>
Collaborate with cross-functional teams including engineers, product managers and researchers to deliver data science solutions</li><li>
Document methodologies, experiments and results, preparing reports and presenting findings to team members and stakeholders</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in computer science, Data Science, Machine Learning, Mathematics or a related field (master&rsquo;s preferred)</li><li>
Minimum 2 years of experience in data science and machine learning</li><li>
Experience with data science projects and model development preferred</li><li>
Some experience working with machine learning models, with exposure to NLP or language models a plus</li><li>
Proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch)</li><li>
Knowledge of SQL and cloud platforms (AWS, GCP, Azure)</li><li>
Hands-on experience with data visualization, machine learning algorithms, statistical methods and basic deep learning</li><li>
Strong communication, problem-solving and collaboration skills</li><li>
Desire to learn and grow in data science and AI technologies</li></ul>
Nice to have<ul><li>
Certifications in cloud platforms (AWS, Azure, Google Cloud) or AI/machine learning</li><li>
Basic understanding of MLOps and model deployment</li><li>
Knowledge of distributed computing frameworks</li><li>
Experience with data engineering tools and pipelines</li><li>
Understanding of financial services data and analytics</li><li>
Interest in financial modeling and risk assessment</li><li>
Awareness of AI applications in financial services</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Scientist

Eton Institute

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/08/2025
</div></div><div>Job Type
<div>Freelance
</div></div><div>Industry
<div>Education
</div></div><div>City
<div>Abu Dhabi
</div></div><div>State/Province
<div>Abu Dhabi
</div></div><div>Country
<div>United Arab Emirates
</div></div><div>Zip/Postal Code
<div>51133
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div>Course Title: Big Data Fundamentals 
Location: Eton Abu Dhabi, Yas Island 
Dates: 3 days workshop
We are looking for an experienced Freelance Trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.<h3 class="jobSectionHeader"> 
Course Overview:</h3> 
This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy. 
Indicative Learning Areas:<ul><li> 
Understanding big data concepts and architecture</li><li> 
Overview of data processing frameworks (e.g., Hadoop, Spark)</li><li> 
Data storage, management, and analytics fundamentals</li><li> 
Practical applications and case studies in business and technology</li></ul> 
The final course content and detailed outline are expected to be provided by the trainer.<h3 class="jobSectionHeader"> 
Trainer Requirements:</h3><ul><li> 
Qualification in Data Science, Computer Science, IT, or related field</li><li> 
Minimum 5 years of professional or training experience in data analytics or big data technologies</li><li> 
Strong communication and facilitation skills</li><li> 
Must be available to deliver the training in person at Yas Island, Abu Dhabi</li></ul> 
Interested trainers are invited to apply with the following:<ul><li> 
Updated CV or professional profile</li><li> 
Relevant training experience</li><li> 
Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)</li></ul></div></div></div>

Data science trainer

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762 data engineer jobs IN Abu Dhabi

Senior Data Engineer

Senior Data Engineer

Data Engineer/ BI Developer

Senior Data Analyst

Data Analyst

Data Scientist

Data science trainer