senior software engineer

Core42

<div>
 
 
 About Us
 
 
 
 
 
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 We are looking for a highly skilled Senior Java Developer with deep expertise in Java, Spring Frameworks, and cloud-native distributed systems. The ideal candidate will design and build high-scale backend platforms, microservices, and APIs like those used in cloud hyperscalers.
 
 
 You will work on high-performance, multi-threaded, resilient systems, collaborate across teams, and provide technical leadership to drive engineering excellence.
 
 
 
 
 
 
 Your key responsibilities
 
 
 
 
 
 
 
 <ul>
 <li>
 IaaS Microservices Development: Design and develop scalable backend services for core IaaS domains, including Compute (Nova), Networking (Neutron), and Storage (Cinder).
 </li>
 <li>
 OpenStack API Integration: Implement robust, type-safe integrations with OpenStack services using Spring Cloud OpenFeign and REST/HTTPS clients.
 </li>
 <li>
 Performance Optimization: Take explicit ownership of backend performance, analyzing and optimizing latency, memory usage, and thread management in high-throughput systems.
 </li>
 <li>
 Security Best Practices: Implement and enforce security standards, including secure coding, data encryption, and robust identity management via Spring Security and Keystone.
 </li>
 <li>
 CI/CD &amp; DevOps: Actively participate in the development and maintenance of CI/CD pipelines to support automated testing, containerization, and Kubernetes deployments.
 </li>
 <li>
 Backend Architecture: Build distributed systems using Java 17+ and Spring Boot 3.x, ensuring high availability and resilience for infrastructure management planes.
 </li>
 <li>
 API Design &amp; Documentation: Design and maintain RESTful APIs with a focus on clean OpenAPI/Swagger documentation, efficient pagination, and standard HTTP status codes.
 </li>
 <li>
 Data Modeling: Design efficient schemas in PostgreSQL and implement high-performance queries using Spring Data JPA/Hibernate.
 </li>
 <li>
 Testing &amp; Quality Assurance: Lead the development of comprehensive test suites using JUnit 5, Mockito, and Testcontainers to simulate real-world infrastructure scenarios.
 </li>
 <li>
 Technical Leadership: Participate in code reviews, mentor junior engineers, and drive best practices in Gradle/Maven build management.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 
 
 
 
 (a) Required skills / qualifications
 
 
 <ul>
 <li>
 7+ years of backend development experience with a mastery of Java 17+ and Spring Boot 3.x.
 </li>
 <li>
 Expert Proficiency: Spring Security, RESTful API design, and distributed system architecture.
 </li>
 <li>
 OpenStack Expertise: Hands-on experience with Nova (Server CRUD, Flavors), Neutron (Networks, Security Groups), and Cinder (Volumes, Snapshots).
 </li>
 <li>
 Advanced Framework Knowledge: Spring Data JPA, Spring Cloud, and Feign for service-to-service communication.
 </li>
 <li>
 Database Mastery: Deep experience with PostgreSQL (query optimization) and Redis (caching strategies).
 </li>
 <li>
 Testing Excellence: Advanced skills in JUnit 5, Mockito, and specifically Testcontainers for integration testing.
 </li>
 <li>
 Cloud Native Foundations: Strong understanding of Docker, Kubernetes, and containerized deployments.
 </li>
 <li>
 Build Tools: Intermediate to advanced proficiency in Gradle or Maven.
 </li>
 <li>
 Core Concepts: Solid understanding of Keystone (Projects/Tokens), Glance (Images), and Octavia (Load Balancers).
 </li>
 <li>
 Soft Skills: Excellent communication and collaboration skills for working in highly technical cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 (b) Preferred skills / qualifications
 
 
 <ul>
 <li>
 Platform Expertise: Proven experience building platform-level systems or services at a hyperscaler scale (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Reactive Programming: Advanced experience with Project Reactor and WebFlux for developing high-concurrency, non-blocking infrastructure gateways.
 </li>
 <li>
 Infrastructure as Code (IaC): Proficiency with Terraform, Ansible, ARM, or Bicep to automate and manage underlying OpenStack environments.
 </li>
 <li>
 Cloud Architecture: Exposure to hybrid or multi-cloud architectures and cross-cloud connectivity strategies.
 </li>
 <li>
 Industry Certifications: Relevant certifications such as Java (OCP), Kubernetes (CKA/CKAD), or Certified OpenStack Administrator (COA).
 </li>
 <li>
 Aware about the Resilience Patterns(Circuit Breaker, Bulkhead, Asyn Communication)
 </li>
 </ul>
 
 
 
 
 
 
 
 What working at Core42 offers
 
 
 
 
 
 With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values:
 
 Grit
 
 , where we overcome challenges with resilience and determination,
 
 Passion
 
 , which drives us to pursue excellence in everything we do, and
 
 Impact
 
 , as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person&rsquo;s contributions propel us forward, and together, we commit to achieving extraordinary results.
 
 
 
 <ul>
 <li>
 Competitive Salary: We offer an attractive salary package based on your skills and experience
 </li>
 <li>
 Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus
 </li>
 <li>
 Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services
 </li>
 <li>
 Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family
 </li>
 <li>
 Learning &amp; Development: We offer access to top-tier learning platforms to help you grow your career. Learn at your own pace with unlimited access to premium courses.
 </li>
 </ul>
</div>

Senior Software Engineer (Java)

Lunate

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 
 
 
 
 
 
 Job Purpose
 
 
 
 
 
 
 The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 
 
 
 
 
 
 Key Duties and Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
 </li>
 <li>
 Leverage AI Tools to design and automate our pipelines.
 </li>
 <li>
 Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
 </li>
 <li>
 Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
 </li>
 <li>
 Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
 </li>
 <li>
 Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
 </li>
 <li>
 Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
 </li>
 <li>
 Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
 </li>
 <li>
 Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
 </li>
 <li>
 Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
 </li>
 <li>
 Contribute to engineering standards, patterns, and documentation as the data function scales.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 
 <ul>
 <li>
 6+ years of professional data engineering experience delivering production pipelines.
 </li>
 <li>
 Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
 </li>
 <li>
 Hands-on experience with dbt, including testing and environment management.
 </li>
 <li>
 Familiarity with modern ingestion tools such as Fivetran.
 </li>
 <li>
 Strong grounding in data modelling fundamentals (Kimball and relational).
 </li>
 <li>
 Python-native, comfortable writing production-quality pipeline and orchestration code.
 </li>
 <li>
 Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
 </li>
 <li>
 Experience building replayable, idempotent pipelines with backfill support.
 </li>
 <li>
 Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
 </li>
 </ul>
</div>

Senior Data Engineer

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 About Contango
 
 
 
 Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
 
 
 
 Role Overview
 
 
 
 As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Use Case Framing &amp; Solution Design
 
 
 
 <ul>
 <li>
 Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.
 </li>
 <li>
 Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.
 </li>
 <li>
 Make explicit trade-offs across performance, cost, latency, and maintainability.
 </li>
 <li>
 Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Feature Systems
 
 
 
 <ul>
 <li>
 Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.
 </li>
 <li>
 Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.
 </li>
 <li>
 Collaborate with platform teams to define data models, schemas, and storage strategies.
 </li>
 <li>
 Enforce standards for data validation, testing, and monitoring within production systems.
 
 
 </li>
 </ul>
 
 Applied ML &amp; Production-Grade Development
 
 
 
 <ul>
 <li>
 Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.
 </li>
 <li>
 Structure codebases into maintainable, testable modules, with clear separation of concerns.
 </li>
 <li>
 Implement unit, integration, and end-to-end tests for data and ML components.
 </li>
 <li>
 Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.
 </li>
 <li>
 Balance model sophistication with system performance, latency, and operational constraints.
 
 
 </li>
 </ul>
 
 MLOps, DevOps &amp; Platform Integration
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.
 </li>
 <li>
 Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.
 </li>
 <li>
 Implement model versioning, experiment tracking, and artifact management.
 </li>
 <li>
 Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.
 </li>
 <li>
 Automate retraining, rollback, and release strategies to ensure system resilience.
 
 
 </li>
 </ul>
 
 System Reliability, Scalability &amp; Security
 
 
 
 <ul>
 <li>
 Design systems for high availability, fault tolerance, and horizontal scalability.
 </li>
 <li>
 Optimize performance across data pipelines and inference services (latency, throughput, cost).
 </li>
 <li>
 Apply secure coding practices, access controls, and data protection standards.
 </li>
 <li>
 Manage technical debt and ensure long-term maintainability of production systems.
 
 
 </li>
 </ul>
 
 Documentation, Standards &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Produce developer-focused documentation (APIs, architecture diagrams, runbooks).
 </li>
 <li>
 Establish and enforce coding standards, review processes, and engineering best practices.
 </li>
 <li>
 Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.
 </li>
 <li>
 Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.
 
 
 </li>
 </ul>
 
 Required Experience And Qualifications
 
 
 
 <ul>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Client-serving experience is an advantage.
 </li>
 <li>
 5+ years of experience in data science or a related analytical field.
 </li>
 <li>
 5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.
 </li>
 <li>
 Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.
 </li>
 <li>
 Prior experience in developing AI solutions on public cloud services is an advantage.
 </li>
 <li>
 Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).
 </li>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.
 </li>
 <li>
 Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.
 </li>
 <li>
 ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).
 </li>
 <li>
 Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.
 </li>
 </ul>
 </ul>
</div>

Senior Data Scientist (6 months contract)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people.
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
We need you to have:<ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul>
It would also be great if you had: 
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior AI Engineer

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEWe&rsquo;re looking for a Senior AI Engineer to design and ship production AI systems powering GAMED.This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem. You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.03. WHO YOU ARE<ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul>04. RESPONSIBILITIES<ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul>05. REQUIREMENTS<ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul>06. NICE TO HAVE<ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul>Work Location: In person

Exeed National General Contracting LLC

Job Title: Senior Architect Engineer / Technical EngineerLocation: Abu Dhabi Industry: Construction Experience Required: 8+ Years Region Experience: GCC experience is mandatory/preferredJob SummaryWe are seeking a highly skilled and experienced Senior Architect Engineer / Technical Engineer to join our construction team. The ideal candidate will have strong technical expertise, design knowledge, and hands-on experience in GCC construction projects.Key Responsibilities<ul><li>Review and develop architectural and technical designs in line with project requirements</li><li>Coordinate with consultants, contractors, and internal project teams</li><li>Ensure compliance with local regulations, codes, and company standards</li><li>Manage technical documentation, drawings, and submittals</li><li>Provide technical support during project execution</li><li>Monitor project progress and resolve any design or technical issues</li><li>Conduct site inspections and ensure quality standards are met</li></ul>Requirements<ul><li>Bachelor&rsquo;s Degree in Architecture / Engineering or related field</li><li>Minimum 8+ years of experience in the construction industry</li><li>GCC experience is required</li><li>Strong knowledge of construction methods, materials, and regulations</li><li>Proficiency in design and technical software (AutoCAD, Revit, etc.)</li><li>Excellent communication and coordination skills</li><li>Ability to handle multiple projects and meet deadlines</li></ul>Preferred Skills<ul><li>Project management experience</li><li>Strong problem-solving and analytical skills</li><li>Experience working on large-scale construction projects</li></ul>Work Location: In person

Senior Architect Engineer / Technical Engineer

iTech Management Consultancy

<div><h5 class="jobSectionHeader">Employment Type: Full-Time 
Department: BIM / Digital Engineering 
Reports To: Senior BIM Engineer / BIM Coordinator</h5>
<h5 class="jobSectionHeader">Position Summary</h5>
<h5 class="jobSectionHeader">iTech Engineering Consultancy is seeking a motivated and detail-oriented BIM Engineer &ndash; MEP (Electrical &amp; Mechanical) to join its Digital Engineering team. The successful candidate will be responsible for developing, maintaining, and coordinating BIM models for Mechanical, Electrical, and related building services systems across a variety of building and infrastructure projects.</h5>
<h5 class="jobSectionHeader">The ideal candidate should possess hands-on experience in Revit MEP, BIM workflows, and multidisciplinary project delivery, with a strong understanding of both Mechanical and Electrical systems. The role focuses on BIM production, model development, and supporting project coordination activities under the guidance of Senior BIM Engineers and BIM Coordinators.</h5>
<h5 class="jobSectionHeader">Key Responsibilities</h5>
<h5 class="jobSectionHeader">BIM Modeling &amp; Project Delivery</h5>
<ul><li>Develop and maintain BIM models for Mechanical and Electrical building services systems.</li><li>
Produce BIM deliverables including plans, sections, elevations, schedules, coordinated layouts, and quantity take-offs.</li><li>
Model and coordinate MEP systems including:<ul><li>
HVAC Systems</li><li>
Ventilation Systems</li><li>
Chilled Water Systems</li><li>
Mechanical Equipment and Plant Rooms</li><li>
Power Distribution Systems</li><li>
Lighting Systems</li><li>
Small Power Systems</li><li>
Fire Alarm Systems</li><li>
ELV Systems</li><li>
ICT and Structured Cabling Systems</li></ul></li><li>
Ensure BIM models comply with project requirements, company standards, and client BIM protocols.</li><li>
Support project teams during design development, coordination, and construction documentation stages.</li></ul>
<h5 class="jobSectionHeader">Model Development &amp; Documentation</h5>
<ul><li>Create and update BIM models based on design information, engineering requirements, and project specifications.</li><li>
Generate construction documentation directly from BIM models.</li><li>
Prepare schedules, quantities, and reports as required by project teams.</li><li>
Maintain model accuracy, consistency, and compliance throughout project delivery.</li></ul>
<h5 class="jobSectionHeader">Coordination Support</h5>
<ul><li>Coordinate Mechanical and Electrical BIM models with Architectural, Structural, Civil, Plumbing, and other disciplines.</li><li>
Participate in model reviews and coordination meetings.</li><li>
Assist in identifying and resolving clashes and coordination issues.</li><li>
Support Senior BIM Engineers and BIM Coordinators during multidisciplinary coordination activities.</li></ul>
<h5 class="jobSectionHeader">Quality Assurance</h5>
<ul><li>Perform self-checks and model reviews before submissions.</li><li>
Ensure compliance with BIM Execution Plans (BEP), company BIM standards, naming conventions, and Level of Development (LOD) requirements.</li><li>
Report technical issues and contribute to solutions that improve model quality and efficiency.</li><li>
Maintain proper file management and documentation practices.</li></ul>
<h5 class="jobSectionHeader">Continuous Improvement</h5>
<ul><li>Contribute to the development of BIM templates, libraries, and standards.</li><li>
Stay updated with BIM technologies, software enhancements, and industry best practices.</li><li>
Support knowledge sharing and continuous improvement initiatives within the BIM team.</li></ul>
<h5 class="jobSectionHeader">Qualifications</h5>
<ul><li>Bachelor's Degree or Diploma in Mechanical Engineering, Electrical Engineering, or a related discipline.</li><li>
Minimum 2&ndash;5 years of BIM experience in MEP projects.</li><li>
Experience working on commercial, residential, mixed-use, healthcare, hospitality, industrial, aviation, or infrastructure projects.</li><li>
UAE/GCC project experience is preferred.</li><li>
Understanding of Mechanical and Electrical building services systems.</li></ul>
<h5 class="jobSectionHeader">Technical Skills</h5>
<h5 class="jobSectionHeader">Mandatory Software</h5>
<ul><li>Autodesk Revit MEP</li><li>
AutoCAD</li><li>
Autodesk Navisworks</li><li>
Autodesk Construction Cloud (ACC) / BIM 360</li><li>
Microsoft Office Suite</li></ul>
<h5 class="jobSectionHeader">Preferred Software</h5>
<ul><li>Dynamo</li><li>
Autodesk Recap Pro</li><li>
Dialux EVO</li><li>
HAP</li><li>
ETAP</li><li>
BIM Collaborate Pro</li></ul>
<h5 class="jobSectionHeader">BIM Knowledge</h5>
<ul><li>BIM Modeling and Documentation</li><li>
BIM Execution Plans (BEP)</li><li>
Common Data Environment (CDE)</li><li>
Clash Detection and Coordination</li><li>
Level of Development (LOD)</li><li>
ISO 19650 Fundamentals</li><li>
Quantity Extraction and Scheduling</li></ul>
<h5 class="jobSectionHeader">Competencies</h5>
<ul><li>Strong understanding of Mechanical and Electrical building services systems.</li><li>
Excellent attention to detail and accuracy.</li><li>
Strong analytical and problem-solving skills.</li><li>
Effective communication and teamwork abilities.</li><li>
Ability to work independently and manage assigned tasks efficiently.</li><li>
Commitment to quality and continuous improvement.</li></ul>
<h5 class="jobSectionHeader">Why Join iTech?</h5>
<ul><li>Opportunity to work on prestigious projects across the UAE and GCC.</li><li>
Exposure to advanced BIM technologies and digital engineering practices.</li><li>
Collaborative and professional work environment.</li><li>
Career development and growth opportunities.</li></ul>
<h5 class="jobSectionHeader">How to Apply</h5>
<h5 class="jobSectionHeader">Interested candidates are invited to submit their updated CV, portfolio of relevant MEP BIM projects, software proficiency details, current location, visa status, and availability to careers@itechholding.com</h5>
<h5 class="jobSectionHeader">Subject: Application &ndash; BIM Engineer-MEP</h5>
<h5 class="jobSectionHeader">Preferred Availability: Immediate to 30 Days.</h5></div>

06_BIM Engineer -MEP

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06_BIM Engineer -MEP