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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>About the Role </b>Are you passionate about building modern, scalable data platforms that power business decisions and product innovation? As a Staff Data Engineer at Toters, you'll define the technical direction of our data platform while designing and building reliable, high-performance data infrastructure that scales with our business. You'll lead the architecture of our batch and streaming data ecosystem, establish engineering standards, and drive platform evolution across multiple teams. Working closely with Engineering Managers, Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll influence technical strategy, mentor engineers, and ensure our data platform remains scalable, reliable, and cost-efficient. This is a highly hands-on technical leadership role where you'll shape how data is ingested, processed, governed, and consumed across the organization.</p><p>In this role, you will:</p><ul><li>Define and drive the long-term technical vision and architecture for Toters' data platform.</li><li>Lead the design and implementation of scalable batch and streaming data platforms that support analytics, operational systems, and machine learning.</li><li>Design resilient, cloud-native data architectures capable of processing high-volume event streams and transactional workloads.</li><li>Establish engineering standards, architectural patterns, and best practices for data engineering across the organization.</li><li>Design scalable data models, schemas, and data contracts that enable long-term maintainability, governance, and interoperability.</li><li>Drive architectural decisions that improve scalability, reliability, security, observability, and operational efficiency across the platform.</li><li>Lead complex technical initiatives such as platform migrations, streaming modernization, lakehouse evolution, and data infrastructure improvements.</li><li>Evaluate new technologies and recommend pragmatic solutions that balance scalability, operational complexity, and cost.</li><li>Improve platform observability through monitoring, alerting, data quality validation, lineage, and operational dashboards.</li><li>Own the reliability of critical production data systems by leading incident response, root cause analysis, and long-term platform improvements.</li><li>Optimize cloud infrastructure, storage, compute, and streaming costs while maintaining high platform performance.</li><li>Partner with Engineering Managers, Product Managers, Analytics, Machine Learning, and Software Engineering teams to define platform capabilities and technical roadmaps.</li><li>Mentor Senior Data Engineers through architecture reviews, technical coaching, and engineering leadership.</li><li>Conduct high-quality code and design reviews that raise the technical bar across multiple teams.</li><li>Drive technical discussions, resolve complex engineering challenges, and influence cross-functional decision-making across the engineering organization.</li></ul><p>Why Toters?</p><ul><li>Flexible work environment with hybrid-friendly roles.</li><li>Opportunity to define and shape the future of Toters' modern data platform.</li><li>Lead high-impact technical initiatives that influence multiple engineering teams.</li><li>Solve complex engineering challenges involving distributed systems, streaming, and large-scale data processing.</li><li>Collaborate with talented engineers in a culture of mentorship, ownership, and continuous learning.</li><li>Direct impact on products used by thousands of customers every day.</li><li>Competitive compensation package.</li><li>Exclusive discounts on Toters orders.</li><li>First-class medical insurance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>9+ years of experience designing and building large-scale production data platforms or distributed data systems.</li><li>Deep expertise in SQL and advanced data modeling, including dimensional modeling (facts and dimensions), schema design, and data architecture.</li><li>Expert-level experience building distributed streaming systems using Apache Kafka, Amazon Kinesis, Apache Pulsar, or equivalent technologies, with strong knowledge of partitioning, consumer groups, delivery semantics, schema management, and production troubleshooting.</li><li>Deep understanding of distributed systems, batch and streaming data processing, event time, processing time, windowing, stateful processing, fault tolerance, and the challenges of achieving exactly-once processing.</li><li>Strong programming skills in Python and/or JVM languages such as Java or Scala.</li><li>Extensive experience designing modern data lakehouse architectures using Amazon S3, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data platforms on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming services, IAM, networking, infrastructure security, and cloud cost optimization.</li><li>Hands-on experience with distributed processing technologies such as Apache Flink, ClickHouse, Trino, and similar analytical platforms.</li><li>Experience designing and implementing Change Data Capture (CDC) architectures using Debezium or similar technologies.</li><li>Experience with modern transformation frameworks such as dbt.</li><li>Strong experience with Infrastructure as Code using Terraform, containerization using Docker, and orchestration platforms such as Kubernetes.</li><li>Proven experience owning mission-critical production systems, leading incident response, and driving long-term platform reliability.</li><li>Demonstrated ability to define engineering standards, influence architectural decisions, and lead technical initiatives across multiple teams.</li><li>Excellent communication and technical writing skills, with the ability to document architecture, influence stakeholders, and mentor senior engineers.</li><li>Passion for building scalable, reliable, maintainable, and cost-efficient data platforms.</li><li>Nice to Have Experience designing enterprise-scale streaming architectures using Apache Flink.</li><li>Experience leading lakehouse migrations using Apache Iceberg or similar technologies.</li><li>Experience implementing large-scale CDC platforms using Debezium.</li><li>Experience building self-service data platforms and developer tooling.</li><li>Experience with ML Feature Stores, Customer Data Platforms (CDPs), or real-time personalization platforms.</li><li>Experience working in high-growth technology companies, marketplace platforms, or on-demand delivery businesses.</li><li>Experience contributing to open-source technologies or internal engineering frameworks.</li></ul><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for a software engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>We are hiring a mid-level Go engineer to build and operate the microservices at the core of our payments platform. You will own services end to end — from API design and database schema through testing, containerization, and production deployment — in a domain where correctness, security, and reliability are non-negotiable. This is a hands-on building role with clear ownership and room to grow into deeper platform and architecture work.</p> <p>Our services are REST/JSON APIs (Gin) deployed on AWS ECS, with observability handled through internal services today. As we scale the platform, there is real room to help raise the engineering bar — introducing metrics and distributed tracing, structured observability, and stronger CI/static-analysis standards. If you like owning systems and shaping how they are built, you will have that runway here.</p> <p>You will join an engineering team that uses AI-assisted development tools as a standard part of its workflow. We expect engineers to use these tools well — to move faster without sacrificing the rigor that payments demand.</p> <h4>What you'll do</h4> <ul> <li>Design, build, and maintain Go microservices (HTTP APIs, sidecars, and background processors) that handle payment authorization, tokenization, settlement, and reporting.</li> <li>Write clean, well-tested Go: table-driven unit tests, mocked dependencies, and meaningful coverage on the paths that move money.</li> <li>Profile and tune services for high throughput and low latency (pprof, benchmarking) — transaction paths are latency-sensitive.</li> <li>Integrate with relational and NoSQL data stores (MySQL, DynamoDB, PostgreSQL); design schemas, access patterns, and migrations that hold up under load and evolve safely.</li> <li>Build and consume internal service APIs, including service-to-service authentication and shared platform libraries.</li> <li>Containerize services with multi-stage Docker builds and ship them through CI/CD pipelines to cloud infrastructure.</li> <li>Integrate with third-party payment processors and AWS services, handling sensitive data in line with PCI DSS and our security standards (secure coding, data masking, TLS, secrets management).</li> <li>Build reliability into money-movement flows: idempotency, retries, and reconciliation/settlement correctness.</li> <li>Participate in code review, design discussions, on-call rotation, and incident response for the services you own.</li> <li>Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) effectively and responsibly as part of day-to-day work.</li> </ul> <h4>Requirements</h4> <ul> <li>3+ years of professional software engineering experience, with production Go experience among them (mid-level seniority).</li> <li>Bachelor's degree in computer science or a related field, or equivalent practical experience.</li> <li>Solid command of Go fundamentals: concurrency done right (goroutine lifecycle, channel discipline, context-driven cancellation), interfaces, error handling, modules, and the standard library.</li> <li>Experience building and consuming RESTful HTTP APIs, ideally with a Go web framework (we use Gin).</li> <li>Working proficiency with SQL databases (schema design, queries, transactions) — we use MySQL with sqlx.</li> <li>Comfort with Docker and CI/CD pipelines as part of a normal development workflow.</li> <li>Demonstrated experience using AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) in real project work — and good judgment about when to trust, verify, and override their output.</li> <li>Strong testing discipline and the habit of writing maintainable, reviewable code.</li> <li>Clear written and verbal communication, a collaborative and ownership-driven mindset, and comfort working in an agile/iterative team onsite.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Payments / fintech background — payment gateways, card processing, tokenization, PCI DSS, fraud, or financial transaction systems (strongly preferred).</li> <li>Hands-on AWS experience, especially DynamoDB, S3, Secrets Manager, KMS, SSM Parameter Store, ECS, and ECR.</li> <li>Experience with microservices and distributed-systems patterns (service-to-service auth, sidecars, idempotency, retries, observability).</li> <li>Familiarity with NoSQL (DynamoDB) and/or PostgreSQL in addition to MySQL.</li> <li>Experience with secure handling of sensitive data: encryption (AES, KMS), JWT, secrets management, and secure-coding practices (OWASP, data masking, TLS).</li> <li>Payments-domain depth: settlement/reconciliation, idempotency, card-network/scheme familiarity, fraud, or financial transaction systems.</li> <li>Experience introducing observability (metrics, distributed tracing, structured logging) and/or CI quality tooling (static analysis, linting) to a growing platform.</li> <li>Database schema migration and API versioning experience.</li> <li>JavaScript / TypeScript / React — a plus. Our admin and merchant UIs are React 19 + TypeScript + Vite; full-stack contribution is welcome but not required.</li> <li>Experience working in or migrating from a legacy/monolith system toward a modern service architecture.</li> </ul> <h4>Our tech stack</h4> <p>What you’ll actually work with, based on our current codebase.</p> <ul> <li>Language: Go.</li> <li>Web framework: Gin (gin-gonic/gin); some legacy services on raw net/http. REST/JSON (not gRPC).</li> <li>Data: MySQL (go-sql-driver/mysql, jmoiron/sqlx), DynamoDB (AWS SDK v2), PostgreSQL (lib/pq); Redis and Memcached for caching.</li> <li>Cloud & deploy: AWS — ECS, ECR, DynamoDB, S3, Secrets Manager, KMS, ACM, SSM, SES, Cognito (AWS SDK for Go v2).</li> <li>Auth & crypto: internal SvcAuth service-to-service auth, JWT (golang-jwt/jwt), golang.org/x/crypto, AES encryption.</li> <li>Testing: Go's testing, stretchr/testify, DATA-DOG/go-sqlmock.</li> <li>Build & deploy: Multi-stage Docker (golang ? scratch), Makefiles, GitLab CI (Docker-in-Docker), images to private ECR.</li> <li>Frontend (a plus): React 19, TypeScript 5.6, Vite, MUI, Redux Toolkit, Formik, Jest + React Testing Library.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

Junior Electrical Site Engineer / Mechanical Site Engineer <br>Bachelor Degree in Electrical engineering or equivalent <br>4-8 years of experience <br>Working on residential projects experience is an asset <br>Technical office background is an asset <br>CVs TO ( constructiongr.ouph@gmail.com )

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A Leading Engineering Consultancy Company is seeking to hire the below positions:</p><p>- Design Architect</p><p>- Structural Design Engineer</p><p>- Mechanical Design Engineer</p><p>- Electrical Design Engineer</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Holding a bachelor's degree in the related Discipline</li><li>Having more than 3 years of experience</li><li>Good experience in Design for the past 3 years in mandatory</li><li>Experience in REVIT is a must</li><li>Not working &amp; ready to join Immediately</li></ul><p></p></section>

A Leading Engineering Consultancy Company is seeking to hire the below positions: <br> <br>- Design Architect <br>- Structural Design Engineer <br>- Mechanical Design Engineer <br>- Electrical Design Engineer <br> <br> <br>Requirements: <br> <br>- Holding a bachelor's degree in the related Discipline <br>- Having more than 3 years of experience <br>- Good experience in Design for the past 3 years in mandatory <br>- Experience in REVIT is a must <br>- Not working & ready to join Immediately <br> <br>Candidates who do not meet the minimum requirements are kindly requested not to apply, as only shortlisted applicants will be contacted

A Leading Engineering Consultancy Company is seeking to hire the below positions: <br> <br>- Senior Design Architect <br>- Senior Design Structural Engineer <br>- Senior Design Mechanical Engineer <br>- Senior Design Electrical Engineer <br> <br>Requirements: <br> <br>- Holding a bachelor's degree in the related Discipline <br>- Having more than 10 years of experience <br>- Good experience in Design for the past 3 years in mandatory <br>- Experience in REVIT is a must <br>- Not working & ready to join Immediately <br> <br>Candidates who do not meet the minimum requirements are kindly requested not to apply, as only shortlisted applicants will be contacted

Maintenance Engineer Specializing in: <br> <br>- Mechanical or Electro Mechanical Engineering

Electrical Site Engineer (Hiring Fresh) | Civil Site Engineer <br>Bachelor s Degree in Electrical Engineering / ELV. <br>Proven experience in Electrical, ELV, and Cyber Security projects. <br>Proven experience in Water Transmission System projects. <br>Strong site supervision and coordination experience. <br>Ability to manage and coordinate work across multiple cities. <br>Relevant technical/professional certifications are preferred <br> <br>SEND YOUR CVs TO ( citic.construction02@gmail.com )

Fresh Engineer (Civil / Electrical / Mechanical) or related field. <br> <br>Willing to persue career in Procurement

A leading industrial lighting company is seeking an Electrical Engineer with 3–5 years of relevant experience. <br> <br>The ideal candidate should have experience in electrical systems, lighting solutions, technical drawings, project coordination, and site supervision. Strong communication, problem-solving, and teamwork skills are essential. <br> <br>Interested candidates may send their CV to msahab@debbas1910.com, mentioning “Electrical Engineer” in the subject line

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut, Lebanon is seeking to recruit a Biomedical Engineer.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Antelias, Lebanon is seeking to recruit a Mechanical Engineer.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut, Lebanon is seeking to recruit an Electrical Engineer.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut is seeking to recruit a Fresh Graduate Electrical Engineer.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut, Lebanon is seeking to recruit a Mechanical Engineer</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Antelias, Lebanon is seeking to recruit a Mechanical Engineer.</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>A reputable company in Beirut, Lebanon is seeking to recruit a Civil Site Engineer&nbsp;</span></p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Scale Group is Hiring Site Civil Engineer with experience <br> <br>Requirements: <br>Experience in site supervision and execution <br>Knowledge of construction methods and project coordination <br>Ability to read technical drawings

A Construction company in Ashrafieh is looking for civil engineer with 1-2 years’ experience <br>Send your CV to: Paul.riachi@macentreprise.com “Please include Reference From Grace Antoun”