project engineer

planning engineer

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data engineer

python engineer

GSSTech Group

<div>We are seeking a highly skilled Python Engineer (Python &amp; Microservices) to join a dynamic, enterprise data engineering chapter in Dubai. This role bridges the gap between high-performance backend engineering and robust data architecture, focusing on the end-to-end delivery of scalable business platforms and data-driven enterprise systems.
The ideal candidate will possess expert-level proficiency in core Python, modern asynchronous web frameworks, and distributed microservices architectures. You will be responsible for designing secure RESTful APIs, building efficient data transformation (ETL) pipelines to serve massive datasets, and optimizing both relational and NoSQL database layers. 
Requirements 
 
Key Responsibilities1. Python Microservices &amp; API Development<ul><li>
Design, develop, and maintain secure, scalable, and resilient microservices architectures using Python.</li><li>
Build and serve high-performance RESTful APIs utilizing asynchronous web frameworks such as FastAPI and Flask (or Django/Pyramid).</li><li>
Optimize concurrent connections and I/O operations using advanced asynchronous programming patterns (asyncio).</li><li>
Collaborate closely with front-end developers and cross-functional teams to integrate user-facing elements with complex server-side data logic.</li></ul>
2. Data Transformations &amp; Schema Management<ul><li>
Design, build, and optimize robust data transformation pipelines and ETL (Extract, Transform, Load) processes to clean, aggregate, and enrich large datasets for analytical consumption.</li><li>
Architect and maintain database schemas across both Relational and NoSQL data storage solutions, ensuring data integrity, quality, and consistency.</li><li>
Implement optimized data access layers using Object-Relational Mappers (ORMs) like SQLAlchemy or Django ORM to abstract and streamline CRUD operations, data queries, and transaction handling.</li></ul>
3. Security, DevOps &amp; Platform Engineering<ul><li>
Enforce security best practices across all microservices, implementing robust authentication, authorization, and encryption protocols using OAuth, JWT, and API Gateways.</li><li>
Act as a core developer focused on productionizing frameworks, taking ownership of developing and maintaining automated CI/CD pipelines.</li><li>
Utilize advanced debugging, logging, profiling, and testing techniques (unit testing, integration testing) to ensure code reliability.</li></ul>
Technical Specifications &amp; SkillsCore Technical Stack (Essential)<ul><li>
Programming &amp; Frameworks: Expert Python development. Hands-on experience with FastAPI, Flask, asyncio, and routing/templating workflows.</li><li>
ORMs &amp; Databases: Strong database manipulation using SQLAlchemy or Django ORM. High proficiency in writing complex SQL and database tuning.</li><li>
Security: Solid experience securing microservices via JWT, OAuth, and gateway configurations.</li><li>
Tooling &amp; Scripting: Strong Shell scripting prowess and version control mastery (Git workflow: branching, merging, pull requests).</li><li>
Engineering Practices: Demonstrated background productionizing code and configuring CI/CD automation.</li></ul>
Data Ecosystem Awareness &amp; Preferred Skills<ul><li>
Big Data Awareness: Familiarity with data warehousing concepts and Big Data technologies (e.g., Hadoop, Spark, Kafka).</li><li>
Cloud &amp; Containers (Preferred): Practical exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).</li><li>
Data Governance (Preferred): Awareness of data compliance, data governance, and enterprise data security principles.</li></ul>
Qualifications &amp; Experience<ul><li>
Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related quantitative technical field.</li><li>
Experience: Proven track record as a Core Python/Data Engineer delivering production-grade microservices and data pipelines in an enterprise environment.</li><li>
Soft Skills: Exceptional problem-solving abilities with high attention to detail. Excellent communication, team collaboration, and documentation skills to present technical considerations effectively to stakeholders.</li></ul></div>

Sr. Python Engineer - Microservices & Data Platforms

ValueLabs

<div>
 
 Client Expectation: We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data-driven applications. This role requires a deep understanding of Python, web development frameworks, data processing, and database management. Roles and Responsibilities: Core Python: Be proficient in the concepts and features of the Python language , experienced with web frameworks like Flask and FastAPI for developing RESTful APIs, and skilled in asynchronous programming using asyncio. Experience with handling concurrent connections and optimizing I/O operations. Should have a deep understanding of microservices architecture and be capable of writing clean, efficient, and maintainable code. Security Best Practices and Requirements Understanding of security practices for microservices, including authentication, authorization, and encryption. Experience with securing APIs using OAuth, JWT, and API gateways. Delivery Area: AACOE Delivery Domain: AACOE Secondary Skill: Python (Microservices) Base JD: Experience &bull; Minimum 5 years of development and design experience in Python API development and Integration of services &bull; Experience in creating Framework to create observable, scalable, Extensible applications and APIs &bull; Excellent knowledge on Micro Services and Mongo database and Data handling &bull; Hands on experience in performance tuning, debugging and monitoring &bull; Good exposure on all phases of software Development Life cycle &bull; Knowledge on microservices architecture, containerization, Dockers and Kubernetes is an added advantage Technical Skills &bull; Extensive coding experience with Python (3.6 and above) and the related database technologies like Mongo, Postgres etc. &bull; Hands on experience in rest API using flask , Django. &bull; Good expertise on integration of AI models, Multiprocessing , load balancing areas &bull; Good understanding of latest Python Frameworks and concurrency &bull; Well versed with CI/CD principles, and actively involved in solving, troubleshooting issues in distributed services ecosystem &bull; Familiar with Distributed services resiliency and monitoring in a production environment. Functional Skills &bull; Experience in Banking, Financial and Fintech experience in an enterprise environment preferred &bull; Experience in following best Coding, Security, Unit testing and Documentation standards and practices &bull; Experience in Agile methodology. &bull; Ensure quality of technical and application architecture and design of systems across the organization. &bull; Effectively research and benchmark technology against other best in class technologies.
 
</div>

Python engineer(Flask,Fast API and Banking Domain is mandate) - 5+ YOE Onsite - Dubai - Immediate Joiners

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

Nameless Ventures

<div>
 
 💻 Python Engineer | Fintech / Trading | Dubai (Hybrid) | 15k-28k AED P/M (DOE)
 
 
 
 
 
 Hey everyone! 👋
 
 
 
 
 
 We've partnered with an early-stage stealth mode fintech startup (with great funding) that are building a fully automated/AI powered trading system for real world prediction markets (think Polymarket but with a real B2B focus).
 
 
 
 
 
 This company are brand new to Dubai and they're now building their team from scratch - starting with multiple Python Engineers to join their founding team here in the region. To put it bluntly, these roles would be perfect for those of you that are:
 
 
 
 
 
 + Passionate about the world of trading/fintech.
 
 
 + Real 0-1 builders.
 
 
 + Excited about joining a company on day one of their journey.
 
 
 
 
 
 👇 Here's what they're looking for:
 
 
 
 
 <ul>
 <li>
 2+ years' commercial experience with Python (alongside AI coding tools like Windsurf or Cursor).
 </li>
 <li>
 Startup mindset/experience and comfortable building from scratch (0-1 building).
 </li>
 <li>
 A strong understanding of either AWS, GCP or Azure.
 </li>
 <li>
 Proven commercial experience in a quant / trading role, although fintech experience more generally also works.
 </li>
 <li>
 Someone who's already here within the UAE (ideally).
 </li>
 </ul>
 
 
 
 
 Interested in finding out more? Hit that apply button and we'll be in touch if your profile is a good match. 🤝
 
 
 
 
 
 Please note: The product involves prediction markets (betting on real-world events) and is therefore non Sharia-compliant.
 
</div>

Python Developer

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>

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.
 
 
 Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.
 
 
 We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.
 
 
 We&rsquo;re not slowing down. The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 You will be working closely with Product, Data, and Engineering teams responsible for developing and enhancing AI-powered solutions across our Real Estate Agent Platform and Mortgage Broker Portal. You'll leverage modern machine learning technologies and cloud infrastructure to build intelligent, data-driven products in an innovative and collaborative environment.
 
 
 
 Tech stack:
 
 Python, PostgreSQL, AWS, FastAPI
 
 
 
 Hands-On Engineering:
 
 Contribute to the development, deployment, and optimisation of machine learning models and AI-driven services. Take ownership of key technical deliverables while leading by example in engineering best practices.
 
 
 
 Machine Learning Excellence:
 
 Drive best practices in machine learning development, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring. Ensure solutions are scalable, reliable, and maintainable in production environments.
 
 
 
 Stakeholder Collaboration:
 
 Work closely with Product, Data, Design, and Engineering teams to identify opportunities for AI-driven innovation, translate business requirements into technical solutions, and deliver measurable impact.
 
 
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 
 AI/ML Engineering Experience:
 
 Strong technical background in Python and machine learning, with a passion for building intelligent products and solving complex data-driven challenges.
 
 
 
 Product-Focused Mindset:
 
 Ability to work cross-functionally and collaborate with Product, Data, and Engineering teams to deliver impactful AI-powered solutions that enhance customer experiences and business outcomes.
 
 
 
 Technical Expertise:
 
 Experience developing and deploying machine learning models using Python and modern ML frameworks. Strong knowledge of data processing, model lifecycle management, APIs, CI/CD, cloud platforms (AWS preferred), and production-grade software engineering practices. Experience in AI development practices and tools is a must-have.
 
 
 
 Data &amp; Machine Learning Knowledge:
 
 Experience working with structured and unstructured data, feature engineering, model evaluation, experimentation, and performance optimisation. Familiarity with MLOps practices and model monitoring is highly desirable.
 
 
 
 Collaborative Attitude:
 
 Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders while fostering an inclusive, engaging team environment.
 
 
 
 Work Setup:
 
 Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai, if preferred.
 
 
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
 
 
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>

AI Engineer

Parser

<div>
 
 
 Senior Data Engineer
 
 
 
 
 
 
 
 Who is Parser?
 
 
 
 Technology alone does not create impact&mdash;the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organizations solve complex business challenges through digital transformation, product development and AI enablement.
 
 
 
 
 
 We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.
 
 
 We work as an extension of our clients&rsquo; teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value.
 
 
 
 
 
 Our expertise spans software engineering, AI &amp; data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we&rsquo;d love to meet you.
 
 
 
 
 
 
 How You'll Make an Impact?
 
 
 
 As a Senior Data Engineer you will be participating in the design and build of the next generation of AI-driven data products and intelligence platforms. As a Python-strong, AI-aware Data Engineer, you'll lead the design and development of data ingestion, ETL, and multi-agent analytical systems by creating scalable schemas and transformation layers that power analytics and AI agents across the UAE and beyond.
 
 
 
 
 
 
 Your key responsibilities:
 
 
 <ul>
 <li>
 Build and maintain end-to-end
 
 data ingestion and ETL pipelines
 
 </li>
 <li>
 Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
 </li>
 <li>
 Develop production-quality Python services and data workflows
 </li>
 <li>
 Orchestrate pipelines using Kubernetes and workflow tools
 </li>
 <li>
 Apply clean architecture and strong engineering design patterns
 </li>
 <li>
 Design schemas and transformation layers for analytics and AI agents
 </li>
 <li>
 Prepare data for
 
 AI and RAG systems
 
 (chunking, embeddings, retrieval pipelines)
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring to the role:
 
 
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 6+ years of experience in Python
 </li>
 <li>
 3+ years of experience with Kubernetes-based workloads
 </li>
 <li>
 ETL/ELT pipeline Design and orchestration (Airflow, ADF, Databricks or similar)
 </li>
 <li>
 Hands on experience with RAG systems, Embeddings and Vector Databases.
 </li>
 <li>
 Experience with Azure cloud
 </li>
 <li>
 Experience with Data Warehouse Architectures, API and Database integrations
 </li>
 </ul>
 
 
 
 
 
 Desirable Requirements:
 
 
 <ul>
 <li>
 Experience with Snowflake and Oracle
 </li>
 <li>
 Kafka/Event hub streaming systems
 </li>
 <li>
 LLM evaluation, prompt engineering
 </li>
 <li>
 Experience building AI or Data Platforms.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 
 
 Only considering candidates based in
 
 Dubai or Abu Dhabi.
 
 
 
 Hybrid work model
 
 2-3 days
 
 at the office per week.
 
 
 
 
 
 
 You will receive:
 
 
 <ul>
 <li>
 The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
 </li>
 <li>
 The opportunity to be part of an amazing, multicultural community of tech experts.
 </li>
 <li>
 A highly competitive compensation package.
 </li>
 <li>
 A flexible and hybrid working environment.
 </li>
 <li>
 Employment Visa and Medical insurance.
 </li>
 </ul>
 
 
 
 
 Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.
 
 
 
 
 
 If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
 
 
 
 
 
 By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser&rsquo;s Privacy Notice for recruitment purposes.
 
 
 
 
 
 Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.
 
 
 
 
 
 Come and join our #ParserCommunity.
 
 
 https://parserdigital.com/
 
 
 Follow us on
 
 Linkedin
 
 
 
 
 
</div>

Senior Data Engineer

Explore 436+ Python engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

436 python engineer jobs In Dubai

Sr. Python Engineer - Microservices & Data Platforms

Python engineer(Flask,Fast API and Banking Domain is mandate) - 5+ YOE Onsite - Dubai - Immediate Joiners

Senior Python Data Engineer

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