senior data engineer

senior devops engineer

senior quality assurance engineer Jobs in Dubai

senior quality assurance engineer

data engineer

backend developer

senior data developer

amana

<div>
 
 
 Role Summary:
 
 
 
 
 
 
 We are seeking a highly skilled Senior Python Data Engineer to join our Data &amp; Analytics team. This role is focused on designing, building, and maintaining enterprise-grade data pipelines, integrations, data warehouse solutions, and reporting datasets that support operational reporting, business intelligence, analytics, and decision-making across the organization. The ideal candidate combines strong software engineering practices with deep data engineering expertise and is comfortable working across the full data lifecycle, from source system integration and ETL development to data warehousing and reporting enablement
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Data Engineering &amp; Integration:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines using Python.
 </li>
 <li>
 Build integrations with a variety of data sources including APIs, relational databases, flat files, and third-party systems.
 </li>
 <li>
 Implement data extraction, transformation, validation, and loading processes. Develop incremental loading and change-tracking mechanisms.
 </li>
 <li>
 Troubleshoot, optimize, and enhance existing data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Data Platform Development
 
 :
 
 <ul>
 <li>
 Develop reusable and maintainable data processing components.
 </li>
 <li>
 Build and enhance internal data integration and orchestration capabilities.
 </li>
 <li>
 Participate in solution design, architecture reviews, and technical discussions.
 </li>
 <li>
 Produce well-structured, testable, and documented code. Contribute to engineering standards and best practices.
 </li>
 </ul>
 
 
 
 
 
 Workflow Orchestration
 
 
 <ul>
 <li>
 Design and implement Apache Airflow DAGs.
 </li>
 <li>
 Build reliable workflow orchestration and scheduling processes.
 </li>
 <li>
 Monitor pipeline execution and resolve operational issues.
 </li>
 <li>
 Improve observability, reliability, and performance of data workflows.
 </li>
 </ul>
 
 
 
 
 
 Data Warehousing &amp; Reporting
 
 
 <ul>
 <li>
 Design, build, and maintain data warehouse structures that support reporting and analytics requirements.
 </li>
 <li>
 Develop reporting-ready datasets and data models.
 </li>
 <li>
 Optimize SQL queries and warehouse performance.
 </li>
 <li>
 Support the delivery of operational, management, and analytical reporting requirements.
 </li>
 <li>
 Collaborate with business stakeholders, analysts, and reporting teams to ensure data accuracy and usability.
 </li>
 <li>
 Assist in troubleshooting reporting and data quality issues when required
 </li>
 </ul>
 
 
 
 
 
 Engineering Excellence
 
 
 <ul>
 <li>
 Build and maintain Docker images and containerized applications.
 </li>
 <li>
 Participate in code reviews and technical knowledge sharing.
 </li>
 <li>
 Develop unit tests and integration tests.
 </li>
 <li>
 Utilize Git-based development workflows and version control best practices.
 </li>
 <li>
 Support CI/CD and deployment processes where required
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 - Has 5+ years of experience, good understanding of Python, Apache Airflow &ndash; Power BI &ndash; APIs (Rest API) and database
 
 
 - Candidates should already be based in the UAE
 
 
 - Strong influencing, leadership, and communication skills with the ability to operate effectively across both technical and non-technical audiences
 
 
 - Excellent attention to detail, problem-solving, and analytical skills.
 
 
 - Strong communication skills and ability to work effectively in a remote environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 Good understanding of the stock market, database systems with an understanding of trading systems, MT Platforms (MT4, MT5) and accounts.
 
</div>

Senior Python Data Engineer

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>

Senior Data Scientist

SailPoint

<div>
 
 
 * This is a remote position; however, you will also have access to an office for team gatherings and planning sessions as needed. Due to the requirements of UAE customers, this position requires being physically located in the UAE.
 
 
 
 In-person interviews will be required.
 
 
 
 
 
 
 
 
 About SailPoint:
 
 
 
 
 
 SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job &ndash; no more, no less.&nbsp;
 
 
 
 
 Built on a foundation of AI and ML, our Identity Security Cloud Platform, Atlas delivers the right level of access to the right identities and resources at the right time&mdash;matching the scale, velocity, and changing needs of today&rsquo;s cloud-oriented, modern enterprise.&nbsp;
 
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 As a
 
 
 
 Senior DevOps Engineer
 
 
 
 you will be a key player on the Infrastructure and Platform Services team servicing the Identity Security Cloud platform. You will be responsible for DevOps work in our UAE region. You will proactively work with Engineering, Product, Services, and other functional departments to implement and operate our global customer-facing SaaS infrastructure. The ideal candidate will be a self-starter who enjoys a fast-paced job, thrives on problem solving, and is committed to delivering seamless product availability to large enterprises around the world.
 
 
 
 
 You will be a member of the UAE DevOps team that performs data store operations and DevOps work for our product running in the UAE region. You will work closely with Software Engineers and DevOps Engineers alike. You will partner with leaders at all levels across the organization on making our product work while meeting data sovereignty requirements.
 
 
 
 
 
 Due to the requirements of UAE customers, this position requires being physically located in the UAE.
 
 
 
 
 
 
 About the team:
 
 
 
 
 
 The UAE DevOps team will work together to implement, maintain, and support our SailPoint products in the UAE region in AWS. The team will provide hands on implementation and support in AWS in the UAE region for our SaaS products.
 
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 Roadmap for success:
 
 
 
 
 
 
 Within first 30 days:
 
 
 
 <ul>
 <li>
 
 
 
 Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment.
 
 
 
 </li>
 <li>
 
 
 
 Begin working on projects and improvements we have planned
 
 
 
 
 
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 
 
 
 
 By 90 days:
 
 
 
 <ul>
 <li>
 
 
 
 Collaborate on projects with team members and other teams
 
 
 
 </li>
 <li>
 
 
 
 Be fully integrated with the team, join the on-call rotation to support our product
 
 
 
 </li>
 <li>
 
 
 
 Become an expert on how the SailPoint ISC product operates
 
 
 
 
 
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 
 
 
 
 By 6 months:
 
 
 
 <ul>
 <li>
 
 
 
 Own and implement projects to successfully operate on data stores in an environment with restricted access
 
 
 
 </li>
 <li>
 
 
 
 Become a subject matter expert on the data stores used for our products
 
 
 
 </li>
 <li>
 
 
 
 Independently handle any on-call incidents
 
 
 
 </li>
 <li>
 
 
 
 Collaborate with other teams to securely bring new features and services into production in the UAE region
 
 
 
 </li>
 <li>
 
 
 
 Proactively meet standards for information security and compliance (suach as ISO, SOC, SSAE 16, etc.)
 
 
 
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 Background &amp; Experience:
 
 
 
 <ul>
 <li>
 
 
 
 Experience in 24x7 production operations, preferably supporting a highly available environment for a SaaS or cloud service provider
 
 
 
 </li>
 <li>
 
 
 
 Experience with cloud infrastructure environments, preferably AWS
 
 
 
 </li>
 <li>
 
 
 
 Experience with Kubernetes and tools like ArgoCD
 
 
 
 </li>
 <li>
 
 
 
 Experience deploying and maintaining databases and distributed data stores: MySQL, PostgreSQL, Redis, Elasticsearch, Cassandra, S3, DynamoDB, Kafka
 
 
 
 </li>
 <li>
 
 
 
 Experience with Machine Learning and data tools such as Apache Airflow and Flink
 
 
 
 </li>
 <li>
 
 
 
 Release automation (Jenkins, etc), system administration, system configuration, and system debugging experience
 
 
 
 </li>
 <li>
 
 
 
 Experience using scripting languages (Python, Bash, PowerShell, etc.) and infrastructure-as-code tools (Terraform)
 
 
 
 </li>
 <li>
 
 
 
 Strong understanding of system and networking concepts and troubleshooting techniques
 
 
 
 </li>
 <li>
 
 
 
 Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports.
 
 
 
 </li>
 <li>
 
 
 
 Ability to operate in an agile, entrepreneurial start-up environment.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 Education (preferred, not required):
 
 
 
 <ul>
 <li>
 
 
 
 Bachelor's degree in Computer Science or other technical discipline, or equivalent experience
 
 
 
 
 
 
 
 </li>
 </ul>
 
 SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.&nbsp; All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. &nbsp;
 
 
 
 
 Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.&nbsp; NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
 
</div>

Senior DevOps Engineer - Data Store

Heidelberg Materials Trading

<div>
 
 Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 
 
 
 
 
 Data Engineer
 
 
 
 
 
 
 
 About the Role:
 
 
 
 This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
 </li>
 <li>
 Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
 </li>
 <li>
 Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
 </li>
 <li>
 Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
 </li>
 <li>
 Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
 </li>
 <li>
 Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
 </li>
 <li>
 Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
 </li>
 <li>
 Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
 </li>
 <li>
 Contribute to data governance, security standards, and consistent documentation practices.
 </li>
 <li>
 Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
 </li>
 <li>
 Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
 </li>
 <li>
 Strong SQL skills with experience working on relational databases and transformation logic.
 </li>
 <li>
 Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
 </li>
 <li>
 Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
 </li>
 <li>
 Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
 </li>
 <li>
 Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
 </li>
 <li>
 Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
 </li>
 <li>
 Strong communication skills with the ability to translate technical detail into clear business language.
 </li>
 <li>
 Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
 </li>
 <li>
 Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
 </li>
 <li>
 Experience in trading, logistics, or supply chain environments is beneficial.
 </li>
 <li>
 Familiarity with Azure‑based cloud data architectures is preferred.
 </li>
 </ul>
 
 
 
 
 
 
 We thank all applicants for their interest, but only shortlisted candidates will be contacted.
 
 
 
 
 All applications will be kept strictly confidential.
 
 
</div>

Data Engineer

Tata Consultancy Services

<div>
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Must-Have**
 
 
 
 
 (Ideally should not be more than 3-5)
 
 
 <ul>
 <li>
 The IDMC CDI/CDQ Developer is responsible for designing, developing, and maintaining cloud-based data integration solutions using Informatica Intelligent Data Management Cloud (IDMC). The role focuses on building scalable, secure, and high-performance data pipelines across multiple source and target systems.
 </li>
 <li>
 Developer is responsible for validating, cleansing, and standardizing data using Informatica Intelligent Data Management Cloud &ndash; Cloud Data Quality (CDQ). The role ensures data accuracy, consistency, completeness, and compliance with business and regulatory standards.
 </li>
 </ul>
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Good communication, stakeholder management skills
 </li>
 </ul>
 
 
 
 
 
 Responsibility of / Expectations from the Role
 
 
 
 
 1
 
 
 
 Design and implement data quality rules using IDMC CDQ
 
 
 Develop validation, standardization, parsing, and cleansing logic
 
 
 
 2
 
 
 
 Implement address validation, name standardization, and reference data lookups
 
 
 Create reusable data quality assets and rule specifications
 
 
 
 3
 
 
 
 Identify data anomalies and root causes of data quality issues
 
 
 Collaborate with business users to define data quality thresholds and metrics
 
 
 
 4
 
 
 
 Support remediation of data issues and continuous data quality improvement
 
 
 Ensure compliance with data governance and regulatory requirements
 
 
 
 5
 
 
 
 Strong hands-on experience with Informatica IDMC &ndash; CDI/CDQ
 
 
 Expertise in data cleansing, and standardization techniques
 
 
 Knowledge of regex-based validation and expression logic
 
 
 
 6
 
 
 
 Understanding of data governance and data quality dimensions
 
 
 SQL knowledge for data analysis and validation
 
 
 Build end-to-end data pipelines with integrated data quality checks
 
 
 
 7
 
 
 
 Embed CDQ rules within CDI mappings for proactive data validation
 
 
 Deliver trusted, high-quality data to downstream analytics and reporting systems
 
 
 
 
 
 Thank you for expressing interest in this role at TCS. We will review your application and reach out to you if your profile aligns with our requirements for this opportunity.
 
 
 
 
 
 
 Application Deadline:
 
 25- July-2026
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

IDQ Developers

JR Real Estate

<div>
 
 
 A brokerage built around how good agents actually want to work.
 
 
 
 
 
 
 Most Dubai brokerages are designed around what's convenient for the brokerage. Slow paperwork. Monthly comp batches. Hours policed. Investor books that belong to the office. We built JR differently because we hire differently. The agents on our team aren't here to do another job. They're here because they want to build a career on their own terms and get backed by a brokerage that treats them as professionals.
 
 
 
 
 
 We're hiring 25 agents to handle a wave of new launches across Dubai South, Meydan, Dubai Creek, Dubai Island, Ras Al Khaimah, Umm Al Quwain and Abu Dhabi, plus secondary-market specialists for Palm Jumeirah, Jebel Ali Palm.
 
 
 
 
 
 
 How we work:
 
 
 
 
 
 <ul>
 <li>
 Your investor book is yours. No internal handoffs, no senior agents reassigning your relationships. The clients you bring stay with you for the long term.
 </li>
 <li>
 No clock-watching, no 9-to-5. You manage your schedule. We judge on deals closed, not hours logged. Your investors live across global time zones; we expect availability that matches your book, not a desk you sit at.
 </li>
 <li>
 Paperwork is off your plate. A 10-year-experienced admin team owns every transaction's documentation end-to-end.
 </li>
 <li>
 Comp is fast and fair. 50/50 minimum on company leads, paid within 48 hours of the developer payout. Higher splits when you bring your own track record. Performance-based step-ups. No base, no draw, no caps.
 </li>
 <li>
 Specialist tracks, not generalist sprawl. You go deep in your patch (an area for secondary, a developer for off-plan, or a hybrid book if that's how you operate). We don't push you off your specialty to chase commission.
 </li>
 <li>
 The infrastructure works. UAE visa sponsorship, medical insurance, phone, laptop, full marketing support. RERA exam sponsored if you need it.
 </li>
 </ul>
 
 
 
 
 
 Who fits:
 
 
 
 
 
 <ul>
 <li>
 1-2 years in Dubai real estate, or comparable high-trust B2C sales (luxury, hospitality, automotive)
 </li>
 <li>
 A relationship-builder, not a transaction-chaser. Agents who think long-term, same client, same family, multiple deals over years, outperform the deal-grinders here by a wide margin.
 </li>
 <li>
 Calm under pressure. Negotiations move fast in Dubai; the agents who keep their composure win deals others lose.
 </li>
 <li>
 Hungry, but with a concrete plan. We want a sentence about the next three deals you'd target and why.
 </li>
 <li>
 Lead response inside 15-30 minutes. Non-negotiable. Speed is the single largest competitive advantage in this market.
 </li>
 <li>
 Manners and integrity. Listens first, speaks second. Honest about misses. No discrimination on religion, nationality, or background. Zero tolerance.
 </li>
 </ul>
 
 
 
 
 
 How to apply:
 
 hit Apply below - we'll reach out shortly.
 
 
 
 
 
 JR Real Estate is an equal-opportunity employer. We hire on merit, regardless of nationality, religion, or background.
 
 
 
 
 
 
 JR Real Estate Brokerage L.L.C - Dubai DED licence 1220598
 
 
</div>

Real Estate Agent

Synechron

<div>
 
 
 Greetings,
 
 
 
 
 
 
 We have an immediate opening for a Python Developer at Synechron in Dubai.
 
 
 
 
 <ul>
 <li>
 Role: Python Developer
 </li>
 <li>
 Experience: 10+ years
 </li>
 <li>
 Location: Dubai
 </li>
 <li>
 Employment type: Full-time
 </li>
 <li>
 Domain: Telecom
 </li>
 </ul>
 
 
 
 
 Preferences: Candidates with DataRobot experience, telecom domain background, and Arabic language skills will be given priority.
 
 
 
 
 
 
 
 
 
 About Company:
 
 
 
 
 Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.
 
 
 
 
 Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.
 
 
 
 
 Synechron: Technology and AI Consulting for Business
 
 
 
 
 Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.
 
 
 
 
 
 
 
 Diversity, Equity, and Inclusion
 
 
 
 
 
 
 
 Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
 
 
 
 
 We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
 
 
 
 
 
 
 
 
 
 
 
 Job Descriptions:
 
 
 
 
 
 
 Python Developer &ndash; Agentic AI
 
 
 
 
 
 
 Experience Required
 
 :
 
 <ul>
 <li>
 Total Experience: 10+ Years
 </li>
 <li>
 Agentic AI Experience: Minimum 3+ Years
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Responsibilities:
 
 
 <ul>
 <li>
 Strong hands-on experience in developing Agentic AI solutions and autonomous AI workflows
 </li>
 <li>
 Experience in building AI agents and multi-agent orchestration frameworks using LangGraph or similar technologies
 </li>
 <li>
 Strong understanding and implementation experience on top of Large Language Models (LLMs) including prompt engineering, RAG architecture, memory management, and agent workflows
 </li>
 <li>
 Experience working with Vector Databases for semantic search, embeddings, and knowledge retrieval use cases
 </li>
 <li>
 Hands-on experience with DataRobot or OpenShift
 </li>
 <li>
 Strong backend development capabilities using Python and related frameworks
 </li>
 <li>
 Experience in developing scalable APIs, microservices, and AI-driven backend systems
 </li>
 <li>
 Knowledge of AI integration patterns, model orchestration, and enterprise-grade AI solution architecture
 </li>
 <li>
 Telecom domain exp would be advantage.
 </li>
 </ul>
 
 
</div>

Python Developer

Explore 564+ Senior data developer in Dubai this July. Find roles across top companies and apply now to boost your career.