Jobs In Jumeirah Lake Towers

Digital& SAL – Jal El Dib is looking to hire Riggers for its telecom projects, main tasks being: <br>• Antenna installation and related activities. <br>• Antenna orientation and alignment. <br>• Mechanical and electrical tilt adjustments. <br>• Site audits and inspections. <br>• Reading and verifying site parameters and measurements. <br>• Supporting troubleshooting and optimization activities on telecom sites. <br>• Physically fit to climb towers. <br> <br>Interested candidates, with proven experience in the domain and living in Great Beirut Area, are encouraged to send the CV to: smoujaly@digitaland.me

<p>Build resilient data pipelines using Medallion architecture principles. Manage and optimize open storage formats including Parquet, Iceberg, and Delta Lake. Design, develop, and maintain distributed data processing workloads using Databricks and Apache Spark. Perform database operations, optimization, and maintenance for PostgreSQL and SQLite environments. Ensure data quality, reliability, scalability, and performance across data platforms. Collaborate with data consumers and stakeholders to support reporting, analytics, and operational data requirements. Monitor, troubleshoot, and improve data infrastructure and pipeline performance. Follow data engineering best practices, coding standards, and documentation processes.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Software Engineering, or a related field. Approximately 5 years of experience in Data Engineering or a related role. Advanced SQL skills with strong expertise in PostgreSQL. Strong proficiency in Python and DuckDB. Experience with data lakes and open-source query and storage layers. Hands-on experience working with Parquet, Iceberg, and Delta Lake. Experience with distributed computing frameworks, specifically Databricks and Apache Spark. Strong understanding of data modeling, ETL/ELT processes, and data pipeline development. Knowledge of database administration, performance tuning, and optimization techniques. Excellent problem-solving and analytical skills. Ability to work effectively both independently and within a collaborative team environment. Excellent English communication skills.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies.</p><br><p>The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization.</p><br><p>This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Data Engineering &amp; Platform Development</strong></p><br><ul><li>Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake.</li><li>Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines.</li><li>Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold).</li><li>Develop reusable and metadata-driven ingestion and transformation frameworks.</li><li>Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications.</li><li>Design and maintain enterprise data models supporting analytical and operational workloads.</li></ul><p><strong>2. Fabric Engineering &amp; Optimization</strong></p><br><ul><li>Develop and optimize Fabric Lakehouses and Data Warehouses.</li><li>Build advanced Notebook-based transformations utilizing PySpark and Spark SQL.</li><li>Implement Delta Lake capabilities including:<ul><li>Merge/Upsert</li><li>Change Data Feed (CDF)</li><li>Time Travel</li><li>Schema Evolution</li><li>Optimize</li><li>Vacuum</li></ul></li><li>Design scalable storage, partitioning, and file management strategies within OneLake.</li><li>Optimize Spark workloads and Data Warehouse performance.</li></ul><p><strong>3. Performance, Reliability &amp; Monitoring</strong></p><br><ul><li>Tune large-scale Spark and SQL workloads.</li><li>Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics.</li><li>Conduct performance testing and scalability assessments.</li><li>Troubleshoot pipeline failures and platform performance bottlenecks.</li><li>Define and monitor SLAs for critical data assets and pipelines.</li><li>Ensure high availability and operational excellence across data workloads.</li></ul><p><strong>4. DevOps &amp; Platform Automation</strong></p><br><ul><li>Implement CI/CD using Fabric Git Integration and Deployment Pipelines.</li><li>Build automated deployment processes across Development, Test, and Production environments.</li><li>Develop automated testing frameworks for data quality, schema validation, and regression testing.</li><li>Manage environment configurations, secrets, and deployment parameters.</li><li>Utilize Azure DevOps or GitHub Actions to support release automation and governance.</li><li>Define rollback, release management, and change control processes.</li></ul><p><strong>5. Data Quality, Governance &amp; Security</strong></p><br><ul><li>Implement automated data quality validation frameworks.</li><li>Develop reconciliation, completeness, and consistency checks.</li><li>Manage data lineage, metadata, and documentation standards.</li><li>Implement sensitivity labels, access controls, auditing, and compliance requirements.</li><li>Ensure adherence to organizational standards for governance, security, retention, and PII handling.</li><li>Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li></ul><p><strong>6. Technical Leadership &amp; Collaboration</strong></p><br><ul><li>Translate business requirements into scalable technical solutions.</li><li>Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders.</li><li>Lead engineering best practices and platform standards.</li><li>Mentor junior engineers and support knowledge-sharing initiatives.</li><li>Produce architecture documentation and technical design specifications.</li></ul><p>Drive continuous improvement of the data platform and engineering practices.</p><br><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><p><strong>Required Technical Skills</strong></p><br><p><strong>Microsoft Fabric</strong></p><br><ul><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li></ul><p><strong>Data Engineering</strong></p><br><ul><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li></ul><p><strong>Performance Optimization</strong></p><br><ul><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li></ul><p><strong>Integration</strong></p><br><ul><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li></ul><p><strong>DevOps</strong></p><br><ul><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li></ul><p><strong>Security &amp; Governance</strong></p><br><ul><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul><br>Additional Information<br><p><strong>Preferred Qualifications</strong></p><br><ul><li>Microsoft Fabric DP-600 Certification.</li><li>DP-203 Azure Data Engineer Associate Certification.</li><li>Experience with Microsoft Purview.</li><li>Experience with Eventstream and Real-Time Intelligence.</li><li>Experience with Azure Databricks.</li><li>Exposure to AI and Machine Learning data engineering workloads.</li><li>Experience implementing enterprise data governance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform/Bicep).</li></ul><br><br> </div>

<p>Digital&amp; SAL Jal El Dib is looking to hire Riggers for its telecom projects, main tasks being:</p><ul><li>Antenna installation and related activities.</li><li>Antenna orientation and alignment.</li><li>Mechanical and electrical tilt adjustments.</li><li>Site audits and inspections.</li><li>Reading and verifying site parameters and measurements.</li><li>Supporting troubleshooting and optimization activities on telecom sites.</li><li>Physically fit to climb towers.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p>

We are seeking a qualified and experienced General Foreman with minimum 10 years of experience to join our team for a high-rise tower construction project. <br> <br>Key Responsibilities: <br>* Supervise and coordinate foremen, workers, subcontractors, and multiple site teams. <br>* Plan and organize daily and weekly construction activities. <br>* Allocate manpower, materials, tools, and equipment according to project requirements. <br>* Ensure works are executed according to approved drawings, specifications, and project schedule. <br>* Monitor daily progress and productivity and report any delays or site issues. <br>* Coordinate closely with the Project Manager, Site Engineers, and subcontractors. <br>* Ensure proper quality standards and workmanship are maintained. <br>* Enforce site safety procedures and ensure workers comply with safety requirements. <br>* Monitor material availability and coordinate deliveries with the relevant teams. <br>* Maintain proper site organization. <br>* Provide daily updates on manpower, progress, materials, and site activities. <br> <br>Requirements: <br>* Minimum 10 years of construction experience, with proven experience as a General Foreman. <br>* Strong experience in high-rise / tower construction is preferred. <br>* Proven ability to supervise multiple teams and foremen. <br>* Strong knowledge of construction methods, materials, and site operations. <br>* Ability to read and understand construction drawings and specifications. <br>* Experience coordinating multiple trades and subcontractors. <br>* Strong leadership, communication, and problem-solving skills. <br>* Good knowledge of construction safety requirements. <br>* Ability to work under pressure and meet project deadlines. <br> <br>Working Hours <br>• Monday to Friday from 7am to 5pm <br>• Saturday from 7am to 1pm <br> <br>Site Location <br>• Kesrouane/Metn

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About OLX Lebanon OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon.<br> Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for individuals and businesses.<br> Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.<br> OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users.<br> Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.<br> We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people’s everyday lives.<br> About the role As a Data Engineer at OLX Lebanon, you will help own and evolve the company's modern data platform and ensure that trusted, timely data is available to the business.<br> You will work across the end-to-end data lifecycle: integrating operational and third-party sources, building and maintaining reliable data pipelines, modelling data for analytics, supporting business intelligence, and operating the platform in production.<br> The role is suited to an experienced engineer who can work independently and take meaningful ownership of a production data environment.<br> Own, operate, and continuously improve OLX Lebanon's production data platform and its core ingestion, transformation, and serving workflows.<br> Design, build, maintain, and troubleshoot reliable batch and incremental data pipelines from operational databases, APIs, cloud storage, and third-party systems.<br> Develop and maintain scalable warehouse models across raw, staging, intermediate, dimensional, and reporting layers.<br> Develop, optimize, and review SQL and Python used for ingestion, transformation, reconciliation, automation, and operational tooling.<br> Build and maintain transformation-as-code workflows using dbt or comparable modern data transformation frameworks.<br> Implement robust production patterns including idempotent processing, retries, schema evolution, scheduling/orchestration, monitoring, alerting, and failure recovery.<br> Ensure data quality and accuracy through automated tests, source-to-target reconciliation, freshness checks, and clear operational controls.<br> Own and support cloud data warehouse workloads, including performance, access, reliability, and cost optimisation.<br> Work with object storage and cloud services used for data ingestion and platform operations, particularly AWS/S3 and related services.<br> Support Power BI and the analytics layer by providing well-modelled, documented, performant datasets and by helping build or troubleshoot reports when required.<br> Partner closely with OLX Data Team as they own business requirements, metric interpretation, and an increasing share of Power BI dashboard development.<br> Collaborate with product, engineering, marketing, growth, finance, advertising, and other business teams through the analytics team where appropriate.<br> Apply strong software-engineering practices including Git-based version control, code review, testing, documentation, deployment discipline, and reusable design.<br> Maintain appropriate data access, privacy, security, and governance controls for sensitive and business-critical data.<br> Document pipelines, models, dependencies, operational procedures, and architecture so that the platform can be supported by more than one engineer.<br> A fast-paced, high-performing team.<br> Learning &amp; Development opportunities.<br> #LebanonOLX Hold a Bachelor’s degree in a relevant field or equivalent professional experience.<br> Approximately 4+ years of relevant data engineering experience for mid-senior candidates; Senior candidates should demonstrate deeper independent ownership rather than relying on years alone.<br> Hands-on experience building and operating production ETL/ELT pipelines and cloud-based analytical data platforms.<br> Strong experience with at least one modern cloud data warehouse or lakehouse platform such as Snowflake, Amazon Redshift, Azure Synapse, Google BigQuery, Databricks, or equivalent.<br> Strong hands-on SQL and Python experience.<br> Familiar with dimensional modelling, analytical warehouse design, and working with large-scale datasets.<br> Understanding of dbt is strongly preferred; equivalent transformation-as-code approaches or strong SQL modelling understanding is acceptable.<br> Understanding of cloud infrastructure and object storage concepts.<br> Comfortable with BI and analytics workflows; familiarity with Power BI is a plus.<br> Excellent SQL and strong Python engineering skills.<br> Ability to diagnose production data issues independently across ingestion, transformation, warehouse, and BI layers.<br> Strong Git, code review, testing, documentation, and software-engineering practices.<br> Ability to balance reliability, performance, maintainability, and cloud cost.<br> Ability to communicate technical issues clearly to analysts, engineers, managers, and non-technical stakeholders.<br> Strong written and verbal English.<br> Show attention to detail, analytical thinking, and a continuous learning mindset.<br> Be driven, self-motivated, and able to handle pressure in a fast-paced environment.<br> Live the team values: Simpler.<br> Better. Faster.</span> </div>