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senior python data engineer

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

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for an astute, proficient and qualified Senior Data Engineer to assess, analyze and work with data concepts, use-cases &amp; complex new data sources to provide business insights to customers and support the implementation &amp; integration of the data sources into the Presight platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Solve challenging problems, using python coding skills.
 </li>
 <li>
 Design, build and launch new data extraction, transformation &amp; loading processes in production.
 </li>
 <li>
 Web crawling, data cleaning, data annotation, data ingestion and data processing.
 </li>
 <li>
 Reading and collating complex data sets.
 </li>
 <li>
 Creating and maintaining data pipelines.
 </li>
 <li>
 Continual focus on process improvement to drive efficiency and productivity within the team.
 </li>
 <li>
 Use of Python, SQL, ES, Shell etc. to build the infrastructure required for optimal extraction, transformation, and loading of data.
 </li>
 <li>
 Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
 </li>
 <li>
 Support the wider business with their data needs on an ad hoc basis.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 6+ years of programming experience, solid coding skills in Python, Shell, and Java
 </li>
 <li>
 Good corporate capacity, good communication skills.
 </li>
 <li>
 Experience with Web crawling, cleaning.
 </li>
 <li>
 Experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks and workflows.
 </li>
 <li>
 Working knowledge of data platform concepts - data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs
 </li>
 <li>
 PostgreSQL and programming (preferably Java, Python), proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases
 </li>
 <li>
 Knowledge of best practice in optimizing columnar and distributed data processing system and infrastructure
 </li>
 <li>
 Experienced in designing and implementing dimensional modelling
 </li>
 <li>
 Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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</div>

Senior Data Engineer

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

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
 
As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<ul><li>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</li><li>
Ensure data is structured to support self-service analytics and business intelligence.</li><li>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</li><li>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</li><li>
Implement and enforce data quality best practices to ensure accuracy and consistency.</li><li>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</li><li>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</li></ul> 
Qualifications<ul><li> 
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>
Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>
Understanding of data engineering principles, including ETL/ELT processes.</li></ul></div>

Senior Analytics Engineer

GSSTech Group

<div>We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineering team. The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines that support enterprise data-driven applications.
This role requires strong hands-on experience with Python-based web frameworks, database technologies, ETL pipelines, microservices, API security, and modern software engineering practices. Candidates should have experience building production-grade applications with a focus on scalability, reliability, security, and performance. 
Requirements 
Key Responsibilities<ul><li>Design, develop, and maintain scalable backend applications and web frameworks using Python.</li><li>Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.</li><li>Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.</li><li>Design and implement scalable data access layers integrating multiple relational and NoSQL databases.</li><li>Collaborate with frontend developers to integrate user-facing components with backend services.</li><li>Ensure applications are secure, highly available, performant, and maintainable.</li><li>Design and maintain database schemas and data models aligned with business requirements.</li><li>Implement ETL processes for extracting, transforming, and loading large-scale datasets.</li><li>Optimize database performance, query execution, and data retrieval mechanisms.</li><li>Troubleshoot production issues and implement scalable solutions for long-term platform stability.</li><li>Participate in code reviews, testing activities, technical design discussions, and engineering best practices.</li><li>Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.</li></ul>
Required Technical Skills
Python Development<ul><li>Strong hands-on experience in Core Python development.</li><li>Expertise in building backend services and APIs using Python.</li><li>Strong understanding of object-oriented programming principles and software design patterns.</li><li>Experience writing clean, reusable, maintainable, and production-quality code.</li></ul>
Web Frameworks &amp; API Development
Strong experience with one or more Python frameworks including:<ul><li>FastAPI</li><li>Flask</li><li>Django</li><li>Pyramid</li></ul>
Experience with:<ul><li>RESTful API design and development</li><li>API versioning and documentation</li><li>Routing and middleware implementation</li><li>Authentication and authorization</li><li>Framework testing and debugging</li></ul>
Microservices Architecture<ul><li>Strong experience designing and developing microservices-based applications.</li><li>Deep understanding of distributed systems architecture.</li><li>Experience building scalable and resilient service-oriented platforms.</li><li>Knowledge of service communication patterns and API orchestration.</li><li>Experience handling concurrent requests and high-volume transaction processing.</li></ul>
Asynchronous Programming<ul><li>Strong understanding of asyncio and asynchronous programming concepts.</li><li>Experience handling concurrent connections and non-blocking operations.</li><li>Knowledge of performance optimization for I/O-intensive applications.</li></ul>
Security &amp; API Protection<ul><li>Strong understanding of API and microservices security best practices.</li><li>Experience implementing:</li></ul><ul><li>
OAuth 2.0</li><li>
JWT Authentication</li><li>
API Gateway integrations</li><li>
Encryption and secure communication protocols 
<ul><li>Experience implementing authentication, authorization, and access control mechanisms.</li></ul></li></ul>
Database &amp; ORM Expertise<ul><li>Strong experience with relational and NoSQL databases.</li><li>Experience designing database schemas and optimizing database performance.</li><li>Strong proficiency with:</li></ul><ul><li>
SQL</li><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li></ul>
Hands-on experience with ORMs including:<ul><li>SQLAlchemy</li><li>Django ORM</li></ul>
Ability to:<ul><li>Define models</li><li>Perform CRUD operations</li><li>Write optimized queries</li><li>Handle transactions</li><li>Manage database migrations</li></ul>
Data Engineering &amp; Transformation<ul><li>Experience building and maintaining ETL pipelines.</li><li>Strong understanding of data transformation, enrichment, aggregation, and cleansing techniques.</li><li>Experience ensuring data quality, consistency, and integrity.</li><li>Ability to support analytical and data-driven applications through scalable processing frameworks.</li></ul>
DevOps &amp; CI/CD<ul><li>Experience building and maintaining CI/CD pipelines.</li><li>Experience deploying and supporting production-grade applications.</li><li>Understanding of infrastructure automation and modern software delivery practices.</li><li>Experience with release management and deployment workflows.</li></ul>
Big Data &amp; Data Technologies
Exposure to technologies such as:<ul><li>Hadoop</li><li>Apache Spark</li><li>Apache Kafka</li></ul>
Understanding of:<ul><li>Data Warehousing concepts</li><li>Distributed data processing</li><li>Enterprise data architectures</li></ul>
Version Control &amp; Development Practices<ul><li>Strong experience with Git version control.</li><li>Experience with:</li></ul><ul><li>
Branching strategies</li><li>
Code reviews</li><li>
Pull Requests</li><li>
Merge conflict resolution</li><li>
Collaborative development workflows</li></ul>
Testing &amp; Debugging<ul><li>Experience with:</li></ul><ul><li>
Unit Testing</li><li>
Integration Testing</li><li>
Logging</li><li>
Monitoring</li><li>
Performance Troubleshooting</li><li>
Production Support</li></ul>
Nice to Have<ul><li>Experience with AWS, Azure, or GCP.</li><li>Experience with Docker and Kubernetes.</li><li>Exposure to cloud-native architectures.</li><li>Knowledge of data governance, compliance, privacy, and security standards.</li><li>Experience supporting large-scale enterprise data platforms.</li></ul>
Required Competencies<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management capabilities.</li><li>Strong collaboration and teamwork skills.</li><li>Ability to work effectively in Agile/Scrum environments.</li><li>Strong ownership mindset with attention to detail.</li><li>Ability to document solutions and communicate technical concepts clearly.</li></ul>
Education
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.</div>

Data Engineer - Python & Microservices

Times World Information Technology

<div>We are looking for a Senior Data &amp; AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable back-end systems and data pipelines.
<div><h4 class="jobSectionHeader">Key responsibilities:</h4>
<ul><li>Design and develop scalable back-end systems</li><li>
Define and implement data architecture and database design strategies</li><li>
Build and optimize data ingestion and transformation pipelines
</li><li>Develop and maintain unified data models across multiple systems
</li><li>Design end-to-end data flows and integration strategies
</li><li>Collaborate with cross-functional teams to ensure efficient data handling and processing
</li><li>Ensure system scalability, performance, and reliability</li></ul><h4 class="jobSectionHeader">
Machine Learning &amp; AI Integration</h4><ul><li>
Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
</li><li>Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
</li><li>Consume and integrate outputs from ML models into data pipelines and backend systems
</li><li>Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams</li></ul><h4 class="jobSectionHeader">
Core Technical Skills</h4><ul><li>
Back-end &amp; System Design</li><li>
Expertise in system scalability and performance optimization
</li><li>Solid understanding of distributed systems and back-end architecture
</li><li>Data Engineering Concepts (IMPORTANT)</li><li>
Strong knowledge of data modelling (OLTP vs OLAP)
</li><li>Strong knowledge of data lake architecture (primary) and data warehousing concepts</li><li>
Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)</li></ul><h4 class="jobSectionHeader">
Core Platforms &amp; Technologies (Required)</h4>
Strong working knowledge of:<ul><li>
 Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)</li><li>
Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)</li><li>
Graph databases - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)</li><li>
Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture</li></ul>
Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms<h4 class="jobSectionHeader">
Data Ingestion &amp; Processing</h4>
Ability to design and implement:<ul><li>
Data ingestion pipelines
</li><li>Data transformation layers (ETL/ELT)
</li><li>Unified and scalable data models
</li><li>System Thinking &amp; Architecture</li></ul>
Ability to:<ul><li>
Design scalable back-end architectures
</li><li>Define and manage data flow across systems
</li><li>Guide integration strategies between multiple services and platforms</li></ul>
Good to Have<ul><li>
Experience with cloud platforms (AWS / GCP / Azure)
</li><li>Exposure to real-time data processing systems
</li><li>Knowledge of ML data pipelines or analytics workflows
</li><li>Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage</li></ul>
What We&rsquo;re Looking For<ul><li>
Passion for experimenting with new tools, frameworks, and ideas
</li><li>Ability to quickly prototype and iterate on features
</li><li>Interest in blending creativity with engineering
</li><li>Comfort working in less rigid, exploratory development environments
</li><li>Strong curiosity and self-learning mindset</li></ul>
Bonus Points If You<ul><li>
Use AI-assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
</li><li>Build side projects, prototypes, or experimental apps
</li><li>Enjoy rapid MVP development, or creative coding
</li><li>Stay updated with latest trends in AI, and developer tools</li></ul> 

</div><div><h4 class="jobSectionHeader">Requirements (Qualifications/Experience/Competencies)
</h4>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage 
 
5 - 7 years of experience
Ready to Join Us? 
 
If you are passionate about building modern AI-powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred. 
 
Please note: This position is open to candidates currently residing in the UAE only.</div></div>

Senior Data & AI Platform Engineer

<div>
 
 Think you can outsmart modern enterprise defenses instead of just scanning for vulnerabilities?
 
 
 
 
 
 We are currently partnering with a fast-growing cybersecurity organisation in Dubai that is building a high-performing offensive security division focused on enterprise and government environments across the GCC.
 
 
 
 
 
 This Red Team Engineer position offers the opportunity to work on complex penetration testing engagements, adversary simulations, and offensive security operations across cloud, hybrid, and on-premise infrastructures. Working closely with senior security specialists, the successful candidate will play a key role in shaping offensive security methodologies while supporting a growing PTaaS environment.
 
 
 
 
 
 Operating in one of the world&rsquo;s fastest-growing cybersecurity markets, this role will challenge your technical ability across exploitation, post-exploitation, Active Directory attacks, and web application security. You will also gain exposure to client-facing engagements, technical reporting, and advanced offensive tooling used in real-world environments.
 
 
 
 
 
 Given the level of autonomy and technical capability required, we will only be able to consider candidates who meet the following requirements:
 
 
 
 
 <ul>
 <li>
 2&ndash;4 years of hands-on offensive security, penetration testing, or red team experience
 </li>
 <li>
 Strong experience with tools such as Burp Suite, Metasploit, Nmap, Nessus, and Cobalt Strike or equivalent frameworks
 </li>
 <li>
 Proficiency in Python, Bash, or PowerShell scripting
 </li>
 <li>
 Strong understanding of Active Directory attacks, OWASP Top 10, and post-exploitation techniques
 </li>
 <li>
 Native or professional-level Arabic communication skills alongside strong written English
 </li>
 </ul>
 
 
 
 
 Candidates holding certifications such as OSCP, PNPT, CEH, or eJPT will be viewed favourably.
 
</div>

Offensive Security Engineer

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