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data engineer

NorthBay Solutions

<div>Job Title: Senior Data Engineer 
Location: Abu Dhabi, UAE (Onsite) 
Employment Type: Full-Time, Permanent<h3 class="jobSectionHeader">
About the Role</h3>
We are seeking a highly skilled Senior Data Engineer with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain scalable, reliable, and high-performance data pipelines.</li><li>
Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.</li><li>
Implement data models and warehouse solutions with a focus on Snowflake.</li><li>
Integrate and process data from diverse sources including SQL and NoSQL databases.</li><li>
Ensure data quality, governance, and security standards are maintained across all systems.</li><li>
Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.</li><li>
Work closely with business stakeholders to translate requirements into data engineering solutions.</li><li>
Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Experience: 7&ndash;10+ years of professional experience in data engineering.</li><li>
Programming: Proficiency in Python (mandatory).</li><li>
Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).</li><li>
Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).</li><li>
Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.</li><li>
Big Data: Experience handling large volumes of structured and unstructured data.</li><li>
Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.</li></ul><h3 class="jobSectionHeader">
Why Join Us</h3><ul><li>
Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.</li><li>
Collaborative work environment with cross-functional teams in cloud, data, and ML domains.</li><li>
Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.</li></ul>
xCT5UY6FsM</div>

Senior Data Engineer

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE (Onsite)
 
 
 
 Employment Type:
 
 Full-Time, Permanent
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled
 
 Senior Data Engineer
 
 with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable, and high-performance data pipelines.
 </li>
 <li>
 Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.
 </li>
 <li>
 Implement data models and warehouse solutions with a focus on Snowflake.
 </li>
 <li>
 Integrate and process data from diverse sources including SQL and NoSQL databases.
 </li>
 <li>
 Ensure data quality, governance, and security standards are maintained across all systems.
 </li>
 <li>
 Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.
 </li>
 <li>
 Work closely with business stakeholders to translate requirements into data engineering solutions.
 </li>
 <li>
 Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Experience: 7&ndash;10+ years of professional experience in data engineering.
 </li>
 <li>
 Programming: Proficiency in Python (mandatory).
 </li>
 <li>
 Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).
 </li>
 <li>
 Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).
 </li>
 <li>
 Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.
 </li>
 <li>
 Big Data: Experience handling large volumes of structured and unstructured data.
 </li>
 <li>
 Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.
 </li>
 <li>
 Collaborative work environment with cross-functional teams in cloud, data, and ML domains.
 </li>
 <li>
 Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.
 </li>
 </ul>
</div>

Etihad

<div>
 
 Synopsis
 
 
 
 We are looking for a detail-oriented Data Scientist to help unlock the power of data to drive smarter decisions and innovation. As a data scientist, you&rsquo;ll transform complex data into actionable insights, build predictive models and help shape data driven strategies that make a real impact.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Deliver actionable insights and predictive models that inform strategic decision making
 </li>
 <li>
 Ensure data science models are robust, explainable, and aligned with business objectives.
 </li>
 <li>
 Maintain data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Collaborate across teams to embed models into production environments
 </li>
 <li>
 Uphold ethical use of data, ensuring compliance with governance, privacy, and regulation
 </li>
 <li>
 Collect clean and pre process large data sets from various structured sources
 </li>
 <li>
 Perform exploratory data analysis (EDA)
 </li>
 <li>
 Develop and validate statistical models
 </li>
 <li>
 Build data visualisation using matplotlib, seaborn, Plotly or BI tools such as Tableau
 </li>
 <li>
 Expericnce with MS Aure cloud platforms and Databricks
 </li>
 <li>
 High proficiency in coding languages of SQL, Python
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 4+ years of experience in a data science or similar role.
 </li>
 <li>
 University degree, technology certifications advantageous .
 </li>
 <li>
 Experience following the Scrum methodology (certification is desirable)
 </li>
 <li>
 Great communication skills
 </li>
 <li>
 Familiar with Machine Learning
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

Data Scientist

Cleveland Clinic Abu Dhabi

<div>
 
 JOB SUMMARY
 
 
 The Data Scientist will extract and analyze large datasets from a range of heterogenous business applications, most
 
 
 importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and
 
 
 algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate
 
 
 predictive, machine learning and AI models based on requirements and communicate the results in an understandable
 
 
 manner, and once approved by the business, the algorithms and models will be deployed into the production
 
 
 environment.
 
 
 
 
 
 PRIMARY JOB DUTIES AND RESPONSIBILITIES:
 
 
 &middot; Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and
 
 
 success criteria for analytics initiatives
 
 
 &middot; Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis &middot; Perform feature engineering for optimization and dimensionalityreduction &middot; Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis) &middot; Perform Data Profiling &middot; Extract, process, clean, and validate quality datasets &middot; Assist data engineers in implementing data pipelines &middot; Conduct Experiment Design &middot; Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case &middot; Write general, reusable code for repeatable analysis &middot; Evaluate and tune the models using various performance and error measures, hyper parameter tuning and cross validation techniques &middot; Select the final model based on performance &middot; Document and present the model findings to the business by explaining the model assumptions and validation methodologies &middot; Deploy the model by integrating it with the EMR or other business applications / systems &middot; Monitor the model for data and concept drift and retrain or tune the model as required &middot; Build visual interfaces with &ldquo;what-if&rdquo; functionality for business user interaction.
 
 
 
 
 
 ROLE LEVEL ACCOUNTABILITIES
 
 
 &middot; Adheres to CCAD&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
 
 
 
 
 
 In view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties
 
 
 as assigned and reporting relationships may vary.
 
 
 
 
 
 ORGANIZATION-WIDE COMPETENCY ASSESSMENT REQUIREMENTS:
 
 
 All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including: Patient&rsquo;s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position. Customer Service Orientation includes attitude, behavior, interpersonal skill and problem solving that enable an employee to respond to internal and external customer needs and expectations in a positive manner. Adaptability including teamwork, flexibility needed to fulfill job responsibilities, adapting to changes in work environment and accepting supervisory feedback. Efficiency and Effectiveness includes quantity and quality of desired work, as well as organization skills necessary to perform successfully. Essential Job Requirements includes adherence to all relevant policies, procedures and guidelines affecting the work environment, as well as maintenance of required competencies and communication skills. Managerial Responsibilities includes overall accountability for assigned work group relative to operational goals, personnel requirements and budgetary constraints.
 
 
 
 
 
 Education Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
 
 
 Experience 5+ years 3+ years
 
 
 Certification and
 
 
 Licensure
 
 
 Professional
 
 
 Membership
 
 
 Job Specific Skills and
 
 
 Abilities &middot; Excellent oral and written communication skills. &middot; Experience with Principal Component Analysis and Linear Discriminant analysis &middot; Experience with Visual Analytics tools &middot; Experience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier Analysis &middot; Experience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc. &middot; Experience with extracting data from database management systems &middot; Experience with transformation and cleaning of both structured and unstructured data &middot; Experience with Agile Software Development methodologies &middot; Experience with Software Engineering &middot; Experience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learning. Deep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, &middot; Healthcare experience is preferred
 
 
 random forest, regression , decision trees, and boosting. &middot; Experience with AI models, Tensorflow, Open AI, LLMs &middot; Experience with MLOPS, LLMOPS, deploying models into production &middot; Experience with User Interface (UI) development Experience with the following software: &middot; Cloud Platforms: Fabric, Azure, AWS, GCP &middot; Database Management Systems MS SQL Server, Azure Data Lake, Azure Synapse &middot; Data Wrangling: MS SSIS, Azure Data Factory &middot; Statistical Analysis Software: SAS, SPSS, Minitab &middot; Version Control: GitHub &middot; Platform: Databricks, Azure ML &middot; Scripting Language: Python / R and libraries (Pandas, NumPy, Seaborn, Matplotlib) &middot; Query Language: SQL &middot; Other Languages: Spark SQL &middot; AI &amp; ML Frameworks : TensorFLow, Keras , PyTorch , GANs, CNN, Caffe, Scikit-learn, Spark ML &middot; Deployment Software: Docker &middot; Visual Analytics: Power BI, Tableau, Minitab, Excel &middot; UI Tools: Shiny, Power Apps
 
 
 
</div>

First Abu Dhabi Bank (FAB)

<div>
 
 Join the UAE&rsquo;s largest bank and one of the world&rsquo;s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting &amp; dynamic industry.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 ROLE PROFILE:
 
 
 
 
 
 &bull;
 
 Designs and develops scalable machine learning models and AI-driven solutions
 
 to address complex business challenges and enhance decision-making processes
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 :
 
 
 
 
 &bull;
 
 Work with large and complex data sets
 
 to solve challenging business problems
 
 
 
 
 &bull;
 
 Collect, clean, and preprocess large datasets
 
 for analysis &amp; model training
 
 
 
 
 &bull;
 
 Perform exploratory data analysis
 
 (EDA) to uncover insights and inform model development
 
 
 
 
 &bull;
 
 Develop, train, and optimize machine learning models
 
 using state-of-the-art algorithms and frameworks
 
 
 
 
 &bull;
 
 Build end-to-end ML pipelines
 
 , including data ingestion, transformation, model training, validation, and deployment
 
 
 
 
 &bull;
 
 Automate workflows for model training, testing, and deployment
 
 using CI/CD pipelines and MLOps tools
 
 
 
 
 &bull;
 
 Collaborate with cross-functional teams
 
 to integrate models into applications and deliver end-to-end solutions
 
 
 
 
 
 
 Qualifications
 
 
 
 
 &bull;
 
 5+ years of experience
 
 in data science, machine learning, or AI
 
 
 
 
 &bull;
 
 Expertise in supervised/unsupervised learning
 
 , deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
 
 
 
 
 &bull;Strong proficiency in
 
 Python and/or R
 
 ; familiarity with
 
 SQL
 
 for data querying
 
 
 
 
 &bull;Ability to
 
 build data pipelines
 
 (Spark, Airflow, Hadoop) and work with big data tools
 
 
 
 
 &bull;
 
 Understanding of model serving
 
 ,
 
 API development
 
 (FastAPI, Flask), and
 
 optimizing model performance
 
 for real-time or batch inference.
 
 
 
 
 &bull;
 
 Knowledge of Docker, Kubernetes, CI/CD pipelines
 
 , and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
 
 
 
 
 &bull;
 
 Experience deploying models
 
 on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
 
 
 
 
 &bull;Educational qualifications:
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required
 
 
 
 
</div>

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist AI/ML with Banking Experience Required is required for our banking clients in Abu Dhabi ,UAE
 
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications.
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques.
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions.
 </li>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives.
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments.
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs).
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker.
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3.
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications.
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments.
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development.
 
 
 </li>
 </ul>
 Skills: ml,bank,ai
</div>

Data Scientist AI/ML with Banking Experience

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1><h1 class="jobSectionHeader">
Job Description</h1><div></div><div><div><div><div><div><div><div><div>
Company Overview:
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</div></div></div></div></div></div></div></div>
Site Overview:
For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region&rsquo;s hot &amp; harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community through grants and philanthropic programming.
Role Overview:
Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
What You will Do<ul><li>
Develop technical solutions for engineers to evaluate and adopt data and AI solutions.</li><li>
Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems</li><li>
Build and present product architectures, write technical code, and demo applications to stakeholders.</li><li>
Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value</li><li>
Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods</li><li>
Use your strengths to support team members and build cross-functional relationships across the company.</li><li>
Work to ship solutions to production that meet business needs and drive impact.</li></ul>
Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
Required Qualifications:<ul><li>
Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.</li><li>
Minimum 3.7 cumulative GPA off a 4.0 scale without rounding</li></ul><ul><li>
Strong academic performance in Computer Science or other STEM disciplines</li><li>
Experience designing AI solutions and architecting distributed data systems</li><li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL</li><li>
Customer-centric mindset with ability to lead design thinking workshops</li><li>
Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>
Experience building solutions using public cloud platforms such as AWS or Azure</li><li>
Preferred but not required: AWS and/or Azure certification</li><li>
No prior work experience required</li></ul>
About The Internship<ul><li>
Time: Winter (Full-time) and Spring (Part-time)</li><li>
Location: Remote</li><li>
Paid Internship</li><li>
Travel Opportunities</li><li>
Real-world project ownership</li><li>
Mentorship from experienced engineers</li><li>
Opportunity for return offers</li></ul>
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
<h1 class="jobSectionHeader">Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div>
#LI-Remote - This is a remote position</div>

Artificial Intelligence Intern

Explore 737+ Data engineer in Abu Dhabi this September. Find roles across top companies and apply now to boost your career.

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