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Quadrabay Verification Services

Position SummaryWe are seeking a skilled Data Engineer with strong expertise in building and managing ETL/ELT pipelines using PySpark within an AWS cloud environment. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data workflows to support multiple data sources, while ensuring seamless integration with Power BI for reconciliation, reporting, and advanced analytics.Key Responsibilities&middot; Data Pipeline Developmento Design, develop, and maintain scalable ETL/ELT pipelines using PySpark.o Implement data ingestion from multiple data sources (Finance, CRM, Payment Gateways, etc.) into AWS Data Lake/Warehouse.o Ensure efficient data partitioning, schema management, and optimization for large datasets.&middot; Cloud &amp; Infrastructure (AWS)o Leverage AWS services (S3, Glue, EMR, Redshift, Lambda, Step Functions) for data engineering workflows.o Implement data security, access control, and compliance in line with organizational standards.o Automate deployments using CI/CD pipelines.&middot; Data Integration &amp; Reportingo Prepare curated datasets for Power BI dashboards and reports.o Enable reconciliation processes by providing granular, auditable datasets.o Collaborate with BI developers to ensure data accuracy, integrity, and performance in reporting.&middot; Collaboration &amp; Processo Work closely with Business Analysts, Data Scientists, and ERP functional teams to understand requirements.o Participate in data governance initiatives, ensuring metadata, lineage, and quality controls are implemented.o Provide support for ad-hoc analytics requests from stakeholders.Required Skills &amp; Qualifications&middot; Technical Skillso Strong programming in Python with deep knowledge of PySpark.o Proven experience in ETL/ELT pipeline development in distributed environments.o Expertise in AWS data services (S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis).o Proficiency in SQL (analytical queries, optimization, tuning).o Familiarity with Power BI integration (Direct Query, Dataflows, Gateways).&middot; Data Engineering Practiceso Experience with data lakes, warehouses, and star/snowflake schema design.o Knowledge of data quality frameworks, reconciliation processes, and auditability controls.o Hands-on experience with workflow orchestration tools.&middot; Soft Skillso Strong problem-solving and analytical skills.o Ability to collaborate across IT, business, and analytics teams.o Clear communication for technical and non-technical stakeholders.Preferred Qualifications&middot; Experience with ERP data models (Finance, CRM - Reconciliation).&middot; Exposure to machine learning data preparation (feature engineering, training/test datasets).&middot; Certification(s):o AWS Certified Data Analytics &ndash; Specialtyo Databricks/Spark Developer Certificationo Microsoft Power BI Data Analyst AssociateJob Type: Full-timeAbility to commute/relocate:<ul><li>Ajman: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Availability to start immediately </li><li>Visa Status</li></ul>Experience:<ul><li>Data Engineer: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>

Data Engineer

ATOM Insurance

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 You will be working on projects with teams from across our ATOM Platform and Business Intelligence/Data Science practice. Reporting to the Chief Product Officer, you will deliver digestible, contemporary and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation. From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise and hybrid client technology landscapes. As a Data Engineer, you will: Build different types of data warehousing layers based on specific use cases Lead the design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work Build scalable data infrastructure and understand distributed systems concepts from a data storage and compute perspective Utilize expertise in SQL and have a strong understanding of ETL and data modeling Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business s analytics and reporting Be proficient in at least one scripting/programming language to handle large volume data processing We are looking for 5+ years of experience in data engineering in a customer or business facing capacity. 
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 To be considered for this role you will have: Ability to understand and articulate requirements to technical and non-technical audiences Stakeholder management and communication skills, including prioritising, problem solving and interpersonal relationship building Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform A strong understanding of data modelling, data structures, databases, and ETL processes An in-depth understanding of large-scale data sets, including both structured and unstructured data Strong SQL and Python knowledge Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment Basic qualifications: At least 3- 5 years of Consulting or client service delivery experience on Amazon AWS (AWS) At least 3- 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions Extensive experience providing practical direction within the AWS Native and Hadoop Experience with private and public cloud architectures, pros/cons, and migration considerations Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C##, Python, SQL, EC2, S3, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc. 3-5+ years of hands on experience in programming languages such as Java, c#, node.js, python, pyspark, spark, SQL, Unix shell/Perl scripting etc. Experience working with DevOps tools such as GitLabs, Jenkins, CodeBuild, CoePipeline CodeDeploy, etc. Bachelors or higher degree in Computer Science or a related discipline Must have at least one AWS certification: Certified AWS Developer Associate Certified AWS DevOps Professional Certified AWS Big Data Specialty Nice-to-have skills/qualifications: DevOps on an AWS platform. Multi-cloud experience a plus Experience developing and deploying ETL solutions on AWS using tools like Talend, Informatica, Matillion Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting IoT, event-driven, microservices, containers/Kubernetes in the cloud
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Client of Talent Bridge HR Consultancy Dubai

Role Summary 

Build robust, observable data pipelines that power research and production AI. Success means high pipeline reliability (on-time SLAs), strong data quality (validation &amp; lineage), and enabling fast experimentation. You will partner with AI/ML, analytics, and product to make data trustworthy and usable.
 Responsibilities 
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 <li>Architect and operate batch/stream pipelines (Airflow; Spark optional) for ETL/ELT.</li>
 <li>Model/manage schemas; enforce data quality and lineage/governance.</li>
 <li>Support ML workflows with DVC (data versioning) and MLflow or Weights &amp; Biases.</li>
 <li>Build feature stores/data services; expose datasets via secure REST endpoints.</li>
 <li>Optimize performance/cost across storage/compute; implement monitoring/alerting.</li>
 <li>Maintain documentation and internal catalogs; enable self-service analytics.</li>
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 Qualifications 
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 <li> Skills: Programming in C++ or Java; SQL &amp; NoSQL; Pandas/NumPy; PySpark; Airflow; API development; Docker.</li>
 <li> MLOps: DVC; MLflow or W&amp;B; model packaging/deployment fundamentals.</li>
 <li> Cloud: AWS SageMaker, Azure ML, or GCP AI experience.</li>
 <li> Nice to have: Unreal Engine exposure.</li>
 <li> Environment: Solid Linux background for development and deployment.</li> <li> Education/Experience: Proven experience building reliable pipelines in production</li> </ul>

Bayut.com

You will have the opportunity to build and work with both batch and real-time data processing pipelines. While working in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers, you will liaise with other teams 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:
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 <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>Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.</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>Building 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>
 <li>Be able to work autonomously without supervision on complex projects</li>
 <li>Participate in the early morning ETL status check rotabr&gt;</li>
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United Arab Emirates University, Department of Family Medicine

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 Job Description
 
 
 
 The Big Data Analytics Center (BIDAC) at UAE University is expanding its research and innovation team to advance the next generation of AI, Machine Learning, and Large Language Model (LLM) applications. The Center plays a national leadership role in AI research, data infrastructure, and digital transformation, supporting major UAE initiatives in smart government, education, and innovation. We are seeking highly motivated Data Engineers who will contribute to developing and deploying scalable AI and NLP systems, with a focus on LLM fine-tuning, optimization, and deployment in secure, domain-specific environments. This is an exceptional opportunity to work in a cutting-edge AI lab within a top research university, collaborating with multidisciplinary teams to deliver impactful projects that advance the UAE&rsquo;s AI capabilities. Key Responsibilities:
 
 
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 Design, build, and maintain data pipelines, ETL workflows, and databases supporting AI/ML projects.
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 Develop and deploy LLMs and NLP pipelines for real-world use cases (education, government services, healthcare, etc.).
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 Conduct data preprocessing, cleaning, feature extraction, and model training for structured and unstructured data.
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 Fine-tune and optimize foundation models (GPT, LLaMA, Falcon, etc.) using domain-specific datasets.
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 Collaborate with research teams on AI model evaluation, interpretability, and explainability.
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 Integrate AI models with front-end applications, APIs, and databases for operational deployment.
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 Support research publications, grant proposals, and technical documentation under BIDAC initiatives.
 
 
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 Minimum Qualification
 
 
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 Bachelor&rsquo;s degree (BSc) in Computer Science, AI, Data Science, Data Engineering, or a related field.
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 Strong programming skills in Python and experience with data processing libraries (Pandas, NumPy, PySpark, etc.).
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 Experience in machine learning model development using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
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 Solid understanding of data structures, algorithms, and statistical methods.
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 Experience working with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).
 
 
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 Preferred Qualification
 
 
 
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 Master&rsquo;s degree in AI, Data Science or a related field.
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 Prior experience in LLM fine-tuning, distillation, or on-premises deployment (e.g., Falcon, LLaMA, Mistral).
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 Experience building knowledge graphs or retrieval-augmented generation (RAG) pipelines.
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 Knowledge of distributed computing (Spark, Dask, Ray) and data lake architectures.
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 Experience integrating AI systems into production-grade web or enterprise applications.
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 Contribution to open-source AI projects, or publications in high-impact AI/ML venues.
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 Understanding of Arabic NLP and bilingual (EN/AR) model development is a plus.
 
 
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 Expected Skills
 
 
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 Proficiency in NLP and LLM ecosystems, including tokenization, embeddings, transformers, and model fine-tuning.
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 Familiarity with LangChain, Hugging Face Transformers, and OpenAI / Anthropic / Cohere APIs.
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 Understanding of MLOps, containerization (Docker), and deployment tools (FastAPI, Streamlit, MLflow, etc.).
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 Strong knowledge of data versioning and reproducibility tools (DVC, Git, etc.).
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 Ability to handle large-scale, multi-modal datasets (text, audio, video, sensor data).
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 Excellent analytical and problem-solving skills with a research mindset.
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 Strong written and verbal communication skills for technical and interdisciplinary collaboration.
 
 
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 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/12/2025
 
 
 Apply
 
 
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 Posting Number
 
 
 Position Number
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United Arab Emirates University

Job Description
 
The Big Data Analytics Center (BIDAC) at UAE University is expanding its research and innovation team to advance the next generation of AI, Machine Learning, and Large Language Model (LLM) applications. The Center plays a national leadership role in AI research, data infrastructure, and digital transformation, supporting major UAE initiatives in smart government, education, and innovation. We are seeking highly motivated Data Engineers who will contribute to developing and deploying scalable AI and NLP systems, with a focus on LLM fine-tuning, optimization, and deployment in secure, domain-specific environments. This is an exceptional opportunity to work in a cutting-edge AI lab within a top research university, collaborating with multidisciplinary teams to deliver impactful projects that advance the UAE’s AI capabilities. Key Responsibilities: • Design, build, and maintain data pipelines, ETL workflows, and databases supporting AI/ML projects. • Develop and deploy LLMs and NLP pipelines for real-world use cases (education, government services, healthcare, etc.). • Conduct data preprocessing, cleaning, feature extraction, and model training for structured and unstructured data. • Fine-tune and optimize foundation models (GPT, LLaMA, Falcon, etc.) using domain-specific datasets. • Collaborate with research teams on AI model evaluation, interpretability, and explainability. • Integrate AI models with front-end applications, APIs, and databases for operational deployment. • Support research publications, grant proposals, and technical documentation under BIDAC initiatives.
 
Minimum Qualification
 
<ul>
<li>Bachelor’s degree (BSc) in Computer Science, AI, Data Science, Data Engineering, or a related field. • Strong programming skills in Python and experience with data processing libraries (Pandas, NumPy, PySpark, etc.). • Experience in machine learning model development using frameworks such as TensorFlow, PyTorch, or Scikit-Learn. • Solid understanding of data structures, algorithms, and statistical methods. • Experience working with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).</li>
</ul>
Preferred Qualification
 
<ul>
<li>Master’s degree in AI, Data Science or a related field. • Prior experience in LLM fine-tuning, distillation, or on-premises deployment (e.g., Falcon, LLaMA, Mistral). • Experience building knowledge graphs or retrieval-augmented generation (RAG) pipelines. • Knowledge of distributed computing (Spark, Dask, Ray) and data lake architectures. • Experience integrating AI systems into production-grade web or enterprise applications. • Contribution to open-source AI projects, or publications in high-impact AI/ML venues. • Understanding of Arabic NLP and bilingual (EN/AR) model development is a plus.</li>
</ul>
Expected Skills
 
<ul>
<li>Proficiency in NLP and LLM ecosystems, including tokenization, embeddings, transformers, and model fine-tuning. • Familiarity with LangChain, Hugging Face Transformers, and OpenAI / Anthropic / Cohere APIs. • Understanding of MLOps, containerization (Docker), and deployment tools (FastAPI, Streamlit, MLflow, etc.). • Strong knowledge of data versioning and reproducibility tools (DVC, Git, etc.). • Ability to handle large-scale, multi-modal datasets (text, audio, video, sensor data). • Excellent analytical and problem-solving skills with a research mindset. • Strong written and verbal communication skills for technical and interdisciplinary collaboration.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

BBGC

We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, bu We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance. Requirements 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.

Senior Data Engineer

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