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Lucidya | لوسيديا

<div>
 At Lucidya, we harness the power of
 
 Machine Learning
 
 and
 
 Big Data
 
 to empower businesses with actionable insights through social listening, customer experience, and data analytics platforms. Our engineering culture promotes innovation, autonomy, and impact. We build products that shape how brands understand and serve their customers.
 
 
 We are seeking a
 
 Staff Engineer
 
 with deep backend expertise in
 
 Ruby on Rails
 
 or
 
 Python
 
 to take ownership of
 
 final design reviews
 
 and ensure technical implementations align with Lucidya's
 
 architecture standards
 
 and
 
 product vision
 
 . You'll act as a technical authority, collaborating across teams to deliver scalable, secure, and high-quality software systems.
 
 
 This is a hands-on leadership role suited for someone passionate about driving architectural integrity and mentoring engineering teams.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Hands-on experience designing and delivering customer experience (CX) SaaS products such as social listening engines, real-time engagement systems, customer data platforms, feedback tools, or marketing insights dashboards
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.
 </li>
 <li>
 7+ years of backend software engineering experience, ideally in a SaaS environment.
 </li>
 <li>
 Proficiency in Ruby on Rails or Python for production-grade applications.
 </li>
 <li>
 Proven experience in technical leadership, architecture reviews, and mentoring.
 </li>
 <li>
 Solid understanding of distributed systems, microservices, and event-driven architectures.
 </li>
 <li>
 Expertise in cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).
 </li>
 <li>
 Familiarity with relational (e.g., PostgreSQL) and non-relational (e.g., Redis, Elasticsearch) data stores.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Skilled in using GenAI tools (e.g., Copilot, ChatGPT) to boost coding efficiency, automate tasks, and improve code quality
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience with DevOps, CI/CD pipelines, and observability tooling.
 </li>
 <li>
 Contributions to open-source projects or public technical writing
 </li>
 </ul>
</div>

Staff Engineer

Lucidya

<div>At Lucidya, we harness the power of Machine Learning and Big Data to empower businesses with actionable insights through social listening, customer experience, and data analytics platforms. Our engineering culture promotes innovation, autonomy, and impact. We build products that shape how brands understand and serve their customers.
We are seeking a Staff Engineer with deep backend expertise in Ruby on Rails or Python to take ownership of final design reviews and ensure technical implementations align with Lucidya&rsquo;s architecture standards and product vision. You&rsquo;ll act as a technical authority, collaborating across teams to deliver scalable, secure, and high-quality software systems.
This is a hands-on leadership role suited for someone passionate about driving architectural integrity and mentoring engineering teams.
Requirements<ul>
<li>Hands-on experience designing and delivering customer experience (CX) SaaS products such as social listening engines, real-time engagement systems, customer data platforms, feedback tools, or marketing insights dashboards.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or equivalent experience.
</li><li>7+ years of backend software engineering experience, ideally in a SaaS environment.
</li><li>Proficiency in Ruby on Rails or Python for production-grade applications.
</li><li>Proven experience in technical leadership, architecture reviews, and mentoring.
</li><li>Solid understanding of distributed systems, microservices, and event-driven architectures.
</li><li>Expertise in cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).
</li><li>Familiarity with relational (e.g., PostgreSQL) and non-relational (e.g., Redis, Elasticsearch) data stores.
</li><li>Strong communication and collaboration skills.
</li><li>Skilled in using GenAI tools (e.g., Copilot, ChatGPT) to boost coding efficiency, automate tasks, and improve code quality.</li>
</ul>Bonus<ul>
<li>Experience with DevOps, CI/CD pipelines, and observability tooling.
</li><li>Contributions to open-source projects or public technical writing.</li></ul></div>

Salla

<div>
 The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.
 
 
 As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
 </li>
 <li>
 Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
 </li>
 <li>
 Establish and enforce data governance, testing, documentation, and quality standards across the stack.
 </li>
 <li>
 Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
 </li>
 <li>
 Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
 </li>
 <li>
 Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
 </li>
 <li>
 Mentor junior engineers and contribute to the maturity of Salla's data organization.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 5 years of experience in analytics engineering or a related field
 </li>
 <li>
 Advanced SQL and strong expertise with dbt (modeling, testing, documentation)
 </li>
 <li>
 Hands-on experience with modern data platforms (Databricks, BigQuery, or Snowflake).
 </li>
 <li>
 Solid understanding of dimensional modeling, semantic layers, and governed data products.
 </li>
 <li>
 Experience with workflow orchestration (Airflow or similar).
 </li>
 <li>
 Experience with cloud-based data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse
 </li>
 <li>
 Familiarity with analytics visualization tools (e.g., Tableau, Looker)
 </li>
 <li>
 Excellent problem-solving skills and a data-driven mindset
 </li>
 <li>
 Strong communication skills and the ability to work collaboratively in a team environment
 </li>
 <li>
 Experience in e-commerce, SaaS, or fintech is highly preferred
 </li>
 <li>
 Fluency in Arabic is preferred but not mandatory
 </li>
 <li>
 Previous experience in the GCC market is an advantage.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Comprehensive Training &amp; Development programs
 </li>
 <li>
 Performance-based Bonus incentives
 </li>
 <li>
 Flexible Work From Home options
 </li>
 </ul>
</div>

Senior/Staff Analytics Engineer

SALLA

<div>The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.
As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.
Key responsibilities include:<ul><li><ul>
<li>Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
</li><li>Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
</li><li>Establish and enforce data governance, testing, documentation, and quality standards across the stack.
</li><li>Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
</li><li>Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
</li><li>Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
</li><li>Mentor junior engineers and contribute to the maturity of Salla&rsquo;s data organization.
</li></ul></li></ul>Requirements<ul>
<li>At least 5 years of experience in analytics engineering or a related field.</li>
<li>Advanced SQL and strong expertise with dbt (modeling, testing, documentation)</li>
<li>Hands-on experience with modern data platforms (Databricks, BigQuery, or Snowflake).
</li><li>Solid understanding of dimensional modeling, semantic layers, and governed data products.
</li><li>Experience with workflow orchestration (Airflow or similar).
</li><li>Experience with cloud-based data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse.</li>
<li>Familiarity with analytics visualization tools (e.g., Tableau, Looker).</li>
<li>Excellent problem-solving skills and a data-driven mindset.</li>
<li>Strong communication skills and the ability to work collaboratively in a team environment.</li>
<li>Experience in e-commerce, SaaS, or fintech is highly preferred</li>
<li>Fluency in Arabic is preferred but not mandatory.</li>
<li>Previous experience in the GCC market is an advantage.
</li></ul>Benefits<ul>
<li>Comprehensive Training &amp; Development programs.</li>
<li>Performance-based Bonus incentives.</li>
<li>Flexible Work From Home options.</li></ul></div>

Transpo Group Middle East

Our client, a group of companies in the field of EPC contracting and Total Facilities Management that has been active in the Kingdom of Saudi Arabia since the 70s, executing several major and landmark projects for prime clients - is looking for a Chief Engineer/Tugboat Mechanic for its palace projects.The role is responsble for ensuring the safe and efficient operation of tugboats within the facilities management framework, facilitating vessel movement, logistical operations, and support services while upholding safety standards and operational excellence.Education &amp; Experience:<ul><li>Degree in Marine Engineering, Mechanical Engineering, or relevant discipline.</li><li>Valid maritime licenses as required by local authorities.</li><li>Marine engineer&rsquo;s first-, second- or third-class certificate.</li><li>Minimum 5 years of experience in a similar role.</li></ul>Key Skills &amp; Competencies <ul><li>Proficient in marine engineering and tugboat operations.</li><li>Strong problem-solving skills and ability to troubleshoot mechanical issues.</li><li>Excellent communication and teamwork abilities.</li><li>Knowledge of safety regulations and best practices in marine operations.</li><li>Strong organizational skills for managing maintenance schedules and logs.</li><li>Ability to work under pressure and make quick decisions in emergency situations.</li><li>Good physical fitness and stamina for working in marine environments.</li></ul>Job Type: Full-timePay: &#65020;11,000.00 - &#65020;12,000.00 per monthAbility to commute/relocate:<ul><li>Jeddah: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>as Chief Engineer: 5 years (Preferred)</li></ul>License/Certification:<ul><li>Marine engineer certificate (Required)</li><li>Maritime licenses (Required)</li></ul>

Chief Engineer/ Tugboat Mechanic

<div>
 The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
 
 
 The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Designing and implementing ETL processes to move and transform data from various sources
 </li>
 <li>
 Building and maintaining the data infrastructure necessary for data storage, processing, and analysis
 </li>
 <li>
 Collaborating with data analysts and data scientists to understand their data needs and provide relevant support
 </li>
 <li>
 Ensuring data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Optimizing data storage and retrieval processes for performance and scalability
 </li>
 <li>
 Documenting data flows, transformations, and any changes to data architecture
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience in a Data Engineer or similar role
 </li>
 <li>
 Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL)
 </li>
 <li>
 Proficient in programming languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar)
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services
 </li>
 <li>
 Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus
 </li>
 <li>
 Strong attention to detail and ability to ensure data accuracy and consistency
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively with cross-functional teams
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role&mdash;it's an opportunity to
 
 shape the infrastructure and technical future of Lucidya
 
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 
 
 We offer
 
 Employee Stock Option Plans (ESOP)
 
 to give you ownership in the company's success, along with
 
 performance-based bonuses
 
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

Data Engineer (Saudi-based only)

<div>The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:<ul>
<li>Designing and implementing ETL processes to move and transform data from various sources.</li>
<li>Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.</li>
<li>Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.</li>
<li>Ensuring data quality and integrity throughout the data lifecycle.</li>
<li>Optimizing data storage and retrieval processes for performance and scalability.</li>
<li>Documenting data flows, transformations, and any changes to data architecture.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience in a Data Engineer or similar role.</li>
<li>Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).</li>
<li>Proficient in programming languages such as Python, Java, or Scala.</li>
<li>Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).</li>
<li>Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.</li>
<li>Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.</li>
<li>Strong attention to detail and ability to ensure data accuracy and consistency.</li>
<li>Excellent communication skills and ability to work collaboratively with cross-functional teams.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role&mdash;it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

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102 staff engineer jobs IN Jeddah

Staff Engineer

Staff Engineer

Senior/Staff Analytics Engineer

Senior/Staff Analytics Engineer

Chief Engineer/ Tugboat Mechanic

Data Engineer (Saudi-based only)

Data Engineer (Saudi-based only)