senior data developer

1inch

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Actively shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in data science, data analytics, or related field
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
 </li>
 <li>
 Low level blockchain data understanding (traces, events)
 </li>
 <li>
 Experience in uncovering business-driving data insights
 
 
 
 
 </li>
 </ul>
 
 Why Work For Us?
 
 
 
 
 <ul>
 <li>
 Join a young, creative team in a fast-paced and supportive environment
 </li>
 <li>
 We&rsquo;re open to new ideas &mdash; if you&rsquo;ve got a vision, pitch it and make it happen
 </li>
 <li>
 Enjoy competitive pay that matches your skills and experience
 </li>
 <li>
 Be part of a company that&rsquo;s shaping the future of DeFi
 </li>
 <li>
 Take time when you need it &mdash; we offer unlimited vacation days
 </li>
 <li>
 Get fully compensated for your work gear &mdash; we&rsquo;ll set you up for success
 </li>
 <li>
 Travel with us! We host an annual team retreat at a top international location
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Data Scientist

DUBAI PROPERTIES GROUP LLC

• Assist in preparing and monitoring the department’s annual budget to support effective financial planning and departmental operations.• Perform basic financial analysis to help identify spending patterns and support cost-effective decision-making.• Prepare and upload purchase requisitions, Goods Receipt Notes (GRNs), and invoices to ensure accurate and timely processing in compliance with company policies and procedures.• Support adherence to internal financial policies and accounting guidelines to maintain accuracy and compliance in financial transactions.• Maintain and organize departmental records—including reports, documents, correspondences, and employee files—for easy access and proper documentation.• Help implement and maintain data management tools and processes to support accurate and organized information storage.• Coordinate internal communications between Admin, Services, and Facilities teams to ensure smooth information flow and operational support.• Compile and assist in preparing reports, dashboards, and presentations for review by senior team members or management. Ensure regular reporting is completed accurately and submitted on time in line with department goals.• Support with the preparation of recommendations by gathering relevant data and contributing to team discussions.• Assist in collecting and organizing sustainability data to support reporting requirements and compliance needs.• Support the improvement of daily workflows and processes to help increase team efficiency and output.

Senior Executive - Records and Data

Chalhoub Group

<div>
 
 INSPIRE | EXHILARATE | DELIGHT
 
 
 
 For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
 
 
 Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
 
 
 Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work&reg; certification in several markets.
 
 
 Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.
 
 
 
 What You'll Be Doing
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
 </li>
 <li>
 Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
 </li>
 <li>
 Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
 </li>
 <li>
 Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
 </li>
 <li>
 Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
 </li>
 <li>
 Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
 </li>
 <li>
 Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
 </li>
 <li>
 Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
 </li>
 <li>
 Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
 </li>
 <li>
 Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
 </li>
 <li>
 Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
 </li>
 <li>
 Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in applied data science or machine learning.
 </li>
 <li>
 Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).
 </li>
 <li>
 Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.
 </li>
 <li>
 Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.
 </li>
 <li>
 Knowledge of model performance metrics, statistical validation, and A/B testing approaches.
 </li>
 <li>
 Familiarity with bias detection techniques and fairness frameworks.
 </li>
 <li>
 Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.
 </li>
 <li>
 Comfort working with structured and semi-structured data, including tabular and time-series formats.
 </li>
 <li>
 Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.
 </li>
 <li>
 Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.
 </li>
 <li>
 Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.
 
 
 </li>
 </ul>
 
 What We Can Offer You
 
 
 
 With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
 
 
 We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
 
 
 
 We Invite All Applicants to Apply
 
 
 
 It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
 
 
 We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.
</div>

<div>INSPIRE | EXHILARATE | DELIGHT
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040. 
What You'll Be Doing
We are looking for a Senior Data Scientist to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
Key Accountabilities
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
What You&rsquo;ll Need To Succeed
<ul><li>5&ndash;7 years of experience in applied data science or machine learning.</li><li>Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).</li><li>Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.</li><li>Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.</li><li>Knowledge of model performance metrics, statistical validation, and A/B testing approaches.</li><li>Familiarity with bias detection techniques and fairness frameworks.</li><li>Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.</li><li>Comfort working with structured and semi-structured data, including tabular and time-series formats.</li><li>Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.</li><li>Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.</li><li>Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.</li></ul>
What We Can Offer You
With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
We Invite All Applicants to Apply
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</div>

DICETEK LLC

<div>Job Description: Senior Azure &amp; .NET Developer
Position: Senior Azure &amp; .NET Developer
Experience: 8+ Years Total (Minimum 4+ Years in Azure)
Job Summary:
We are seeking a Senior Azure &amp; .NET Developer with a total of 8+ years of experience in software development and at least 4+ years of hands-on experience in Microsoft Azure cloud platform. The candidate must have strong expertise in Azure services such as Logic Apps, XSLT transformations, Event Grid, Event Hub, Service Bus, and Azure Functions, along with proven proficiency in .NET Core/.NET 6/7/8 for backend development. 
Key Responsibilities:<ul><li>
Design, develop, and deploy scalable, secure, and high-performance cloud applications on Microsoft Azure.</li><li>
Build and manage integrations using Azure Logic Apps and perform complex XSLT data transformations.</li><li>
Implement event-driven solutions using Azure Event Grid, Event Hub, and Service Bus for real-time data processing and communication.</li><li>
Develop serverless components using Azure Functions for automation, backend processing, and system integration.</li><li>
Design and develop RESTful APIs and microservices using .NET Core / .NET 6/7/8.</li><li>
Utilize Infrastructure as Code (ARM Templates/Bicep/Terraform) to provision and manage Azure resources.</li><li>
Set up and manage Azure DevOps pipelines for continuous integration and deployment (CI/CD).</li><li>
Ensure application security, identity management, and access control using Azure AD and Managed Identities.</li><li>
Monitor application health and performance using Azure Monitor, Application Insights, and Log Analytics.</li><li>
Collaborate with cross-functional teams including solution architects, business analysts, and developers.</li></ul> 
Must-Have Skills:<ul><li>
Total 8+ years of software development experience.</li><li>
Minimum 4+ years of hands-on Azure development experience.</li><li>
Azure Logic Apps (with complex workflows and integrations)</li><li>
XSLT Transformations (for data manipulation in Logic Apps)</li><li>
Azure Event Grid, Event Hub, and Service Bus</li><li>
Azure Functions (serverless computing)</li><li>
.NET Core / .NET 6/7/8 development (RESTful APIs, microservices)</li><li>
C#, ASP.NET Core Web API</li></ul> 
Additional Required Skills:<ul><li>
Azure DevOps (CI/CD pipeline creation and management)</li><li>
Azure Storage, Key Vault, App Services</li><li>
Strong analytical, problem-solving, and troubleshooting abilities</li><li>
Mulesoft experience is an added advantage.</li></ul> 
Preferred Qualifications:<ul><li>
Microsoft Certified: Azure Developer Associate (AZ-204) or equivalent certification</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s Degree in Computer Science, Engineering, or a related field (or equivalent professional experience)</li></ul></div>

Senior Azure & .NET Developer

Precise Communications

○ Framing use cases with business teams, validating data availability, and translating business requirements into robust pipelines and architectures.○ Explaining analytical and AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.○ Designing and implementing analytical solutions (including machine learning and GenAI) that create measurable business impact.○ Conducting thorough data processing and data modeling, effectively applying analytical and AI solutions to achieve business outcomes.○ Ensuring solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.○ Visualizing and communicating outcomes for executive-level audiences.<ul><li>Intellectual curiosity and problem-solving skills, with the ability to structure and prioritize for maximum impact.</li></ul><ul><li>Experience managing more junior resources and allocating tasks</li></ul>Requirements<ul><li>A Master&rsquo;s degree in data science, machine learning, mathematics, computer science, software engineering, or related fields.</li></ul><ul><li>5+ years of hands-on experience in developing and implementing data-driven solutions within the telecom domain.</li></ul><ul><li>Deep professional understanding of customer analytics and related metrics within telco or another consumer facing firm.</li></ul>Job Type: Full-timePay: AED30,000.00 - AED35,000.00 per month

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
 
 
 <ul>
 <li>
 
 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.
 </li>
 <li>
 
 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.
 </li>
 <li>
 
 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.
 </li>
 <li>
 
 Data Warehousing:
 
 Design, develop, and optimize data lakes and warehouses on platforms like Databricks, Azure Synapse and ADLS, supporting analytics and reporting needs.
 </li>
 <li>
 
 ETL/ELT Development:
 
 Develop and optimize ETL processes for efficient data extraction, transformation, and loading, using tools like ADF and custom pipelines.
 </li>
 <li>
 
 Process Optimization:
 
 Automate and streamline data workflows (incremental loads, email notifications, pipeline runs) to enhance system performance and reduce costs.
 </li>
 <li>
 
 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.
 </li>
 <li>
 
 Go-Live &amp; Project Support
 
 : Support the successful migration and implementation of new code and solutions. Utilizing Azure DevOps CI/CD.
 </li>
 <li>
 
 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.
 </li>
 <li>
 
 Innovation &amp; Optimization
 
 : Design scalable, high-performance data architectures and promote innovation, cost-efficiency, and operational excellence.
 </li>
 <li>
 
 Documentation &amp; Knowledge Transfer
 
 : Create and maintain clear documentation for processes, operations, and technical solutions, including knowledge transfer documents and data catalogue updates.
 </li>
 <li>
 
 Monitoring &amp; System Oversight
 
 : Monitor system performance, identify opportunities for optimization, and ensure platform scalability to meet future needs.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
 </li>
 <li>
 Proven experience working with cloud-based infrastructure, particularly Azure
 </li>
 <li>
 Proven experience working with DataBricks.
 </li>
 <li>
 Experience with containerization tools (Docker, Kubernetes) and CI/CD pipelines
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 Preferred knowledge of machine learning workflows and model deployment
 </li>
 <li>
 Proficiency in Russian, Turkish and Central Asian languages is a plus.
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ul>
 <li>
 6+ years of experience in data engineering, production support, and pipeline management
 </li>
 <li>
 Cloud Platforms: ADLS Gen 2, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and DevOps, Azure Key Vault
 </li>
 <li>
 Programming/Querying: Python, PySpark, SQL
 </li>
 <li>
 Automation &amp; Monitoring: Custom automation tools, failure email triggers, performance monitoring solutions
 </li>
 <li>
 Preferred experience in project management
 </li>
 <li>
 Excellent leadership, communication, and problem-solving skills is a plus
 </li>
 </ul>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ul>
 <li>
 Handles diverse tasks and meets deadlines under pressure
 </li>
 <li>
 Works independently and responsibly
 </li>
 <li>
 Skilled negotiator with vendors
 </li>
 <li>
 Executes clear strategies aligned with corporate goals
 </li>
 <li>
 Communicates effectively with technical and non-technical audiences
 </li>
 <li>
 Leads professionally and fosters teamwork
 </li>
 <li>
 Manages change and adapts quickly with critical thinking
 </li>
 <li>
 Applies systematic problem-solving and agile decision-making
 </li>
 <li>
 Promotes collaboration, innovation, transparency, and accountability
 </li>
 </ul>
</div>

Senior Specialist - Data Engineering

Explore 2605+ Senior data developer in Dubai United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

2605 senior data developer jobs IN Dubai United Arab Emirates

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Senior Specialist - Data Engineering