planning engineer

sales engineer

senior data engineer

senior data scientist

technical engineer

data engineering

Edenred

<div>Take a step forward and let Edenred surprise you.
Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.
We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.
Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.
We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
<ul><li>The Role
</li></ul>We&rsquo;re looking for a Data Engineer Lead to architect, build, and scale the next generation of our data platform from the ground up. This role is ideal for someone who thrives in highimpact‑ environments, enjoys solving complex technical challenges, and wants to shape the long‑term data strategy of a fast‑growing business. You&rsquo;ll work closely with engineering, product, analytics, and business teams to design modern data foundations that enable reliable insights, advanced analytics, and innovation across the organization. This is a unique opportunity to own the full lifecycle of our data ecosystem and influence how data powers decision‑making at scale.
<ul><li>Responsibilities
 
</li></ul><ul><li>Lead the end‑to‑end design, development, and scaling of a modern data platform on Azure and Databricks.
</li><li>Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products.
</li><li>Define and enforce best practices for data modeling, governance, quality, and security across all environments.
</li><li>Partner with cross‑functional teams to understand business needs and translate them into scalable technical solutions.
</li><li>Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence.
</li><li>Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement.
</li><li>Drive continuous innovation by evaluating new tools, technologies, and architectural approaches.
</li></ul><ul><li>YOUR PROFILE
 </li></ul><ul><li>7+ years of experience in data engineering, including at least 3 years in a senior or lead role.
</li><li>Proven experience designing and building a data platform from scratch in Azure and Databricks environments.
</li><li>Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory (Certified Data Engineer by Azure/Certified Data Engineer Databricks is a plus)
</li><li>Strong proficiency in Python, PySpark, and SQL, with handson experience processing largescale datasets.
 </li><li>Solid understanding of data modeling, Medallion Architecture, and bestinclass data governance practices.
</li><li>Experience leading technical teams, setting engineering standards, and mentoring others.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics,Mathematics, or a related field&mdash;or equivalent practical experience.
</li><li>A collaborative, proactive problemsolver with strong communication skills and the ability to work effectively across diverse teams.
</li></ul><ul><li>REPORTING STRUCTURE:
</li></ul>The selected candidate will report directly to the Data Manager who is responsible for ensuring that projects and applications are managed appropriately.
<ul><li>The Data Engineer Lead will work closely with engineering, product, IT, and business stakeholders to design and scale the data platform that underpins analytics, reporting, and advanced data products across the organization. This role requires strong partnership with data analysts, data scientists, and domain experts to ensure data solutions are aligned with business needs and deliver measurable impact. The selected candidate will report directly to the Data Manager and will play a key role in guiding technical decisions, influencing data strategy, and ensuring that data initiatives are executed effectively and collaboratively.
</li></ul>Apply now and Vibe with Us!</div>

Data Engineer Lead

GSSTech Group

<div>We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives. 
Requirements 
 
Key Responsibilities<ul><li>
Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.</li><li>
Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.</li><li>
Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.</li><li>
Design, develop, and maintain scalable, secure, and high-performance data pipelines.</li><li>
Acquire, ingest, process, and transform large-scale structured and unstructured datasets.</li><li>
Implement data engineering best practices for building reliable and production-ready data platforms.</li><li>
Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.</li><li>
Design and develop modular data pipelines to generate reusable features and modeling datasets.</li><li>
Build and optimize data architectures supporting advanced analytics and machine learning workloads.</li><li>
Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.</li><li>
Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.</li><li>
Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.</li><li>
Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.</li></ul>
Required Technical SkillsCore Data Engineering<ul><li>
Strong experience in Data Engineering and Big Data solutions.</li><li>
Expert-level proficiency in PySpark.</li><li>
Strong programming experience in Python.</li><li>
Experience building large-scale distributed data processing pipelines.</li></ul>
Data Processing &amp; ETL<ul><li>
Data Ingestion</li><li>
Data Transformation</li><li>
Data Wrangling</li><li>
Data Preparation</li><li>
Data Modeling</li><li>
Feature Engineering</li><li>
ETL/ELT Development</li><li>
Batch Processing</li><li>
Data Pipeline Development</li></ul>
Big Data Technologies<ul><li>
Apache Spark / PySpark</li><li>
Distributed Data Processing Frameworks</li><li>
Big Data Ecosystems</li></ul>
Database Technologies<ul><li>
Strong SQL expertise</li><li>
Experience with Relational Databases</li><li>
Experience with NoSQL Databases</li><li>
Data Warehousing Concepts</li></ul>
Cloud &amp; Analytics Platforms (Preferred)<ul><li>
Azure Data Platform</li><li>
AWS Data Services</li><li>
Google Cloud Data Services</li><li>
Databricks</li><li>
Hadoop Ecosystem</li></ul>
Machine Learning Data Support<ul><li>
Feature Engineering for ML Models</li><li>
Data Preparation for Analytics and AI Use Cases</li><li>
Building Modeling and Feature Tables</li><li>
Supporting Data Science Workloads</li></ul>
Engineering Best Practices<ul><li>
Software Engineering Principles</li><li>
Data Pipeline Optimization</li><li>
Data Quality Management</li><li>
Performance Tuning</li><li>
Scalability &amp; Security</li><li>
Version Control (Git)</li><li>
CI/CD Concepts</li><li>
Documentation Standards</li></ul>
Required Soft Skills<ul><li>
Strong stakeholder management and communication skills.</li><li>
Experience working with Business Analysts, Data Scientists, and Product Teams.</li><li>
Ability to translate business requirements into scalable data solutions.</li><li>
Strong analytical and problem-solving skills.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Ability to work independently and within cross-functional teams.</li></ul>
Preferred Qualifications<ul><li>
Experience working in enterprise-scale data platforms.</li><li>
Experience supporting machine learning and advanced analytics initiatives.</li><li>
Exposure to cloud-native data engineering solutions.</li><li>
Experience designing modern data architectures and data lake environments.</li></ul></div>

Senior Data Engineer

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Senior AI Architect to design, build, and scale the AI and data platform that the organization's AI products will run on. This is a hands-on, founding technical position. The Senior AI Architect will produce architecture designs, write production code, build data pipelines, and set the engineering standards the broader AI team will follow. The role requires rare technical breadth: deep data engineering foundations, strong software engineering discipline, AI and ML systems experience, cloud infrastructure fluency, and the architectural vision to make it all coherent at enterprise scale.
Key Responsibilities<ul><li>
Design and build the end-to-end AI platform architecture, covering data ingestion, feature engineering, model training, serving, monitoring, and retraining as a coherent, maintainable production system</li><li>
Design the data lakehouse architecture on AWS using Delta Lake or Apache Iceberg with Databricks as the primary compute layer, and build batch and streaming data pipelines using PySpark, AWS Glue, and Kafka</li><li>
Architect and implement a feature store with online and offline stores, point-in-time joins, and feature versioning</li><li>
Own cloud infrastructure architecture for all AI and data workloads on AWS, including multi-account strategy, EKS cluster design, GPU compute, storage, and cost governance</li><li>
Build and own the MLOps platform covering experiment tracking, training pipeline automation, model packaging and deployment standards, CI/CD for ML, and model monitoring with drift detection</li><li>
Design the AI services layer, including reusable inference APIs, model serving infrastructure, and API gateway configuration with authentication, rate limiting, and cost attribution</li><li>
Integrate AI capabilities into the organization's products and business systems using event-driven and API-based patterns</li><li>
Embed security and compliance into every layer of the AI platform, including network security, IAM, PII handling, secrets management, and audit logging</li><li>
Act as the senior technical authority for the AI Initiative, setting engineering standards, mentoring engineers, and leading technical decisions</li><li>
Produce and maintain architecture documentation including C4 diagrams, Architecture Decision Records, and system integration maps</li></ul>
Requirements<ul><li>
15 or more years of experience spanning data engineering, software engineering, and AI/ML systems, with at least 3 to 5 years in a senior architecture role</li><li>
Demonstrable record of building and shipping production AI systems end-to-end, not solely designing them</li><li>
Deep hands-on data engineering background including production data pipelines, data lakehouses, and feature stores</li><li>
Expert-level AWS skills across multi-service architecture design and build; GCP or Azure familiarity is beneficial</li><li>
Strong software engineering discipline with production-quality Python and SQL, and solid understanding of distributed systems and API design</li><li>
Deep understanding of the AI and ML model lifecycle and the infrastructure required to support it at production scale</li><li>
Experience in high-growth product companies, scale-ups, or enterprise AI teams where significant technical decisions were owned</li><li>
Security-conscious approach as a default, with experience embedding data privacy and compliance requirements into architecture</li><li>
Strong written and verbal communication, including the ability to produce clear architecture documentation and present to senior leadership</li><li>
Experience leading or significantly contributing to technical team building, including mentoring and setting engineering standards</li><li>
Fintech experience is preferred</li></ul>
Technical Skills<ul><li>
Data Engineering and Platform: Python (primary), SQL, Scala, Bash; Apache Spark (PySpark), AWS Glue, dbt, Pandas, Polars; Apache Kafka (AWS MSK), AWS Kinesis, AWS EventBridge, Flink; Delta Lake, Apache Iceberg, AWS S3, Databricks (Unity Catalog); AWS Redshift, Databricks SQL, Snowflake; Feast, AWS SageMaker Feature Store, Tecton; Great Expectations, dbt tests, Soda Core; OpenMetadata, Apache Atlas; Metabase, Redash; Apache Airflow (Astronomer), Dagster, Prefect</li><li>
AI and ML Systems: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM; AWS SageMaker Training, Kubeflow, Ray Train; BentoML, Seldon Core, Ray Serve, FastAPI, KServe; MLflow, Weights and Biases, ClearML; Evidently AI, Arize AI, WhyLabs; GitHub Actions, DVC, Great Expectations; Hugging Face (Transformers, Datasets, Evaluate, PEFT)</li><li>
Cloud and Infrastructure (AWS Primary): EKS (Karpenter), EC2 (G5, P4d GPU instances), SageMaker, Lambda, Fargate; S3, FSx for Lustre, ElastiCache (Redis), DynamoDB, RDS (PostgreSQL); SageMaker Pipelines, Feature Store, Model Registry, Bedrock, Comprehend, Textract; VPC, Transit Gateway, PrivateLink, Route 53, CloudFront, WAF; IAM (IRSA), Secrets Manager, KMS, Macie, GuardDuty, Security Hub, CloudTrail; Terraform, Terragrunt, CloudFormation, Pulumi; ArgoCD, Flux, Atlantis; Azure ML, Azure Databricks, Azure OpenAI Service (secondary)</li><li>
API, Integration and Solution Architecture: FastAPI, gRPC, REST (OpenAPI 3.1), GraphQL; Kong, AWS API Gateway, Istio (service mesh, mTLS); Docker, Kubernetes (Helm, Kustomize); C4 Model (Structurizr), ADRs, draw.io, Lucidchart; AWS Cost Explorer, Grafana cost dashboards, per-product token attribution</li><li>
Third-Party Data Integrations: Segment, Amplitude, Adjust, Firebase, MoEngage, JourneyFi, Funnel, Debezium, AWS DMS, Fivetran</li><li>
Security and Compliance: OAuth 2.0, JWT, AWS Cognito, mTLS, AWS SSO; AWS Secrets Manager (auto-rotation), HashiCorp Vault; Microsoft Presidio (PII detection), AWS Macie, field-level KMS encryption; NIST AI RMF, GDPR, ISO 27001, SOC 2; Model cards, Fairlearn (bias evaluation), SHAP (explainability), audit logging</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

Senior AI Architect

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in a technical field or equivalent practical experience. 
</li>
<li>8 years of experience in technical program management, with a focus on infrastructure projects.</li>
<li>5 years of experience in a leadership role with direct reports. 
</li>
<li>Experience in both fiber optic network design/deployment (OSP) and data center infrastructure (ISP).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>10 years of multi-disciplinary experience in network, fiber, electrical, and mechanical (cooling) systems.</li>
<li>Experience working with global carriers and stakeholders in the EMEA and APAC telecommunications and data center markets.</li>
<li>Exceptional communication skills, with the ability to navigate through ambiguity and build consensus among high-level executive stakeholders.</li>
<li>Proven track record in New Product Initiatives (NPI), specifically in defining standards for deployable infrastructure solutions.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. 
 
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

The Fiber Infrastructure Engineering and Delivery team is a unified organization within Google Global Infrastructure, integrating the expertise of capacity infrastructure engineering, network infrastructure engineering, and fiber and capacity delivery. Our mission is to deliver the resilient long-haul and metro fiber assets and data center network space that power Google's global growth and AI leadership. We operate at the intersection of cutting-edge technology and global scale, ensuring Google&rsquo;s network infrastructure is the most reliable and efficient on the planet.<div> 
This role requires approximately 25% travel, mostly to Google&rsquo;s data centers around the globe.</div>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Orchestrate program strategy across East EU and MENA to drive consistency and economies of scale. Be able to strengthen alignment between technical requirements and business objectives by providing advanced insights facilitating executive decision-making.</li>
<li>Define requirements for the Google Global Network, designing data center infrastructure (space, power, cooling) and define new product deployment globally.</li>
<li>Manage complex relationships globally. Influence and collaborate with design engineering firms, carriers, internal engineering teams, and senior executives to solve large-scale network growth challenges.</li>
<li>Establish systems to identify and implement innovative solutions that optimize project delivery. Manage risks and drive improvements in lead-time, predictability, and cost-effectiveness.</li>
<li>Lead a global team of technical program managers. Foster growth mindset and culture of learning, ensuring the team's skills are transferable across technical domains.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Lead, Technical Program Management, Fiber and Network Infrastructure

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Senior Machine Learning Engineer to join our AI team as a technical owner of ML products and infrastructure. This is a deeply hands-on engineering position for someone who builds and scales production AI systems used by real users in real-time environments. The right candidate operates across the full ML lifecycle &mdash; from model design through deployment, optimization, and ongoing performance in production &mdash; and contributes to the technical direction of the AI platform.
Key Responsibilities<ul><li>
Architect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance from day one</li><li>
Build and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale</li><li>
Own technical design for ML pipelines, feature stores, training infrastructure, and inference systems, driving decisions that balance performance, cost, and maintainability</li><li>
Design and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applications</li><li>
Implement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines</li><li>
Continuously optimize model performance, inference latency, cost efficiency, and reliability across live systems</li><li>
Collaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutions</li><li>
Mentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the team</li><li>
Contribute to strategic decisions around data architecture, AI infrastructure, and cloud platform direction</li><li>
Work with mobile attribution and customer engagement data sources including Adjust, MoEngage, and Firebase for ML use cases such as churn prediction, personalization, and campaign optimization</li></ul>
Requirements<ul><li>
7 to 15 or more years of experience in software engineering, data science, or ML engineering</li><li>
Strong background in product companies, scale-ups, or enterprise AI platforms</li><li>
Proven track record of building production-grade AI systems, not solely notebooks or proof-of-concept work</li><li>
Comfortable owning systems end-to-end from data through model through deployment through monitoring</li><li>
Product-first engineering approach, not research-only profiles</li><li>
Advanced Python engineering skills with strong systems thinking and a focus on production quality</li><li>
Comfortable with fast iteration cycles and deploying models into live environments</li><li>
Ability to work directly and confidently with stakeholders and product owners</li><li>
Fintech or financial services experience is an advantage</li></ul>
Technical Skills
Machine Learning and AI: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face (Transformers, Datasets, Diffusers)
LLM and GenAI: OpenAI and Anthropic APIs, LangChain, LlamaIndex; RAG architectures with vector DB and retrieval pipelines; embedding models (OpenAI, Cohere, open-source); Pinecone, Weaviate, Milvus, FAISS; fine-tuning via LoRA and PEFT frameworks; evaluation using RAGAS and custom pipelines
MLOps and Production: Docker, Kubernetes, MLflow, Weights and Biases, Airflow, Dagster, Prefect, GitHub Actions, GitLab CI, Evidently AI, Arize, custom observability stacks
Cloud: AWS (SageMaker, EKS, S3, Lambda), Azure ML, Azure Databricks, GCP
Data Stack: Databricks, Spark, PySpark, Delta Lake, Apache Iceberg, Lakehouse architectures
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

Senior Machine Learning Engineer

3D CONSTRACTION LLC

Civil Draftsman - Urgently RequiredJob SummaryWe are seeking a detail-oriented and experienced Civil Draftsman to join our team. The successful candidate will be responsible for preparing accurate technical drawings, plans, and layouts for civil engineering and construction projects. The role requires proficiency in drafting software, strong technical knowledge, and the ability to collaborate effectively with engineers, project managers, and site teams.Key Responsibilities<ul><li>Prepare detailed civil engineering drawings, plans, layouts, and technical documentation.</li><li>Develop and revise site plans, grading plans, road layouts, drainage systems, utility networks, and infrastructure drawings.</li><li>Convert design concepts, sketches, and engineering calculations into accurate CAD drawings.</li><li>Ensure drawings comply with project specifications, industry standards, and local regulations.</li><li>Coordinate with engineers, architects, surveyors, and project teams to resolve design and drafting issues.</li><li>Review and update drawings based on design changes and project requirements.</li><li>Maintain drawing records, revisions, and document control procedures.</li><li>Conduct quantity take-offs and assist with project documentation when required.</li><li>Support project teams during planning, tendering, and construction phases.</li></ul>Requirements<ul><li>Diploma or Degree in Civil Engineering, Drafting Technology, or a related field.</li><li>Minimum 06 years of experience as a Civil Draftsman in construction engineering projects.</li><li>Proficiency in AutoCAD and Civil 3D experience with other drafting software is an advantage.</li><li>Strong understanding of civil engineering drawings, standards, and construction methodologies.</li><li>Ability to read and interpret technical specifications, engineering calculations, and survey data.</li><li>Excellent attention to detail and organizational skills.</li><li>Strong communication and teamwork abilities.</li><li>Knowledge of local construction codes and regulations is preferred.</li></ul>Preferred Qualifications<ul><li>Experience in all development projects.</li><li>Experience working in a fast-paced engineering or construction environment.</li></ul>Pay: AED2,500.00 - AED2,800.00 per monthWork Location: In person

Civil Draftsman

Egis

<div>
 
 Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organization of society and the living environment of citizens all over the world.
 
 
 
 
 With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We are seeking an experienced Project Coordinator to join our dynamic engineering team in Dubai, United Arab Emirates. This is an excellent opportunity to advance your career in project coordination within the wet utilities sector, working on innovative infrastructure projects that serve the community. As a Project Coordinator, you will be responsible for coordinating project activities, liaising with multidisciplinary teams, and ensuring the successful delivery of water supply, sewage, and drainage system projects whilst supporting senior engineers and project managers.
 
 
 
 
 
 
 
 <ul>
 <li>
 Coordinate and monitor project schedules, timelines, and milestones to ensure timely delivery of wet utilities infrastructure projects
 </li>
 <li>
 Liaise between senior engineers, contractors, clients, and stakeholders to facilitate effective communication and project progression
 </li>
 <li>
 Prepare and maintain comprehensive project documentation, including technical reports, feasibility studies, proposals, and design specifications
 </li>
 <li>
 Assist in the organisation and coordination of site visits, inspections, and field data collection activities related to water supply networks, sewage treatment facilities, and drainage infrastructure
 </li>
 <li>
 Support the preparation of detailed technical drawings, specifications, and design documentation using AutoCAD and related design software
 </li>
 <li>
 Maintain accurate and organised project records, databases, and filing systems in accordance with organisational procedures and UAE regulations
 </li>
 <li>
 Coordinate meetings, prepare meeting minutes, and track action items to ensure accountability and project continuity
 </li>
 <li>
 Monitor project budgets, resource allocation, and expenditure to support effective project financial management
 </li>
 <li>
 Ensure compliance with UAE water regulations, industry standards, and local engineering codes throughout project execution
 </li>
 <li>
 Support the development and implementation of project methodologies and process improvements
 </li>
 <li>
 Collaborate with team members on solutions to project challenges and contribute to continuous operational excellence
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Must be an Emirati national with a valid Family Book
 
 </li>
 <li>
 Bachelor's degree in a related engineering discipline, Business Administration, Project Management, or equivalent qualification
 </li>
 <li>
 For engineering graduates: Strong academic foundation in wet utilities systems, hydraulics, hydrology, and engineering principles
 </li>
 <li>
 For business graduates: Demonstrated knowledge of project management methodologies and infrastructure project coordination principles
 </li>
 <li>
 Proficiency in AutoCAD or equivalent computer-aided design (CAD) software (desirable for business graduates)
 </li>
 <li>
 Competency with Microsoft Office Suite (Word, Excel, PowerPoint)
 </li>
 <li>
 Excellent analytical and problem-solving capabilities with strong attention to detail
 </li>
 <li>
 Outstanding organisational skills and ability to manage multiple tasks effectively
 </li>
 <li>
 Proficient communication skills in both written and spoken English
 </li>
 <li>
 Demonstrated ability to work collaboratively within team environments and contribute constructively
 </li>
 <li>
 Familiarity with site investigation, survey methodologies, and field data collection techniques
 </li>
 <li>
 Understanding of project management fundamentals and basic construction methodologies
 </li>
 <li>
 Health and Safety awareness in construction and engineering environments
 </li>
 <li>
 Knowledge of UAE water regulations, standards, and local engineering codes
 </li>
 <li>
 Practical experience through internships or academic projects in wet utilities project coordination (desirable)
 </li>
 <li>
 Familiarity with UAE infrastructure development standards and local compliance requirements (desirable)
 
 </li>
 </ul>
 
 
</div>

Project Coordinator - UAE National

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