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data visualization engineer

Hudhud Maps

<div>Role Overview:
We are seeking a skilled Data Visualization Engineer to join our data platform team. The ideal candidate will design, develop, and maintain interactive data visualizations and dashboards that empower business decisions. You will work closely with data engineers, analysts, and stakeholders, leveraging our technology stack including Apache Superset, JupyterHub, Python, Spark, SQL, and various databases.
Responsibilities:
<ul><li>Develop, enhance, and maintain advanced interactive dashboards and reports using Apache Superset.</li><li>
Utilize Python and JupyterHub for exploratory data analysis, prototyping visualizations, and sharing insights.</li><li>
Write efficient and scalable SQL queries to prepare data for visualization.</li><li>
Collaborate with data engineers to integrate and optimize data pipelines supporting analytics and visualization.</li><li>
Apply best practices in data visualization and UX to present complex datasets clearly and intuitively.</li><li>
Work with business and technical stakeholders to gather requirements and translate data into actionable visual insights.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.</li><li>
2+ years of experience in data visualization engineering, data analytics, or business intelligence.</li><li>
Strong hands-on experience with Apache Superset or similar BI tools (e.g., Tableau, Looker, Power BI).</li><li>
Proficiency in Python, including libraries for data manipulation and visualization.</li><li>
Solid experience with SQL for data preparation and processing.</li><li>
Familiarity with JupyterHub or similar notebook environments.</li><li>
Deep understanding of data visualization principles, chart types, and UI/UX best practices.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li><li>
Experience with cloud data platforms and databases (e.g., PostgreSQL, Clickhouse, or cloud-native) is a plus.</li></ul></div>

Data Visualization Engineer

HudHud Maps

<div>
 
 Role Overview
 
 
 
 We are seeking a skilled Data Visualization Engineer to join our data platform team. The ideal candidate will design, develop, and maintain interactive data visualizations and dashboards that empower business decisions. You will work closely with data engineers, analysts, and stakeholders, leveraging our technology stack including Apache Superset, JupyterHub, Python, Spark, SQL, and various databases.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop, enhance, and maintain advanced interactive dashboards and reports using Apache Superset.
 </li>
 <li>
 Utilize Python and JupyterHub for exploratory data analysis, prototyping visualizations, and sharing insights.
 </li>
 <li>
 Write efficient and scalable SQL queries to prepare data for visualization.
 </li>
 <li>
 Collaborate with data engineers to integrate and optimize data pipelines supporting analytics and visualization.
 </li>
 <li>
 Apply best practices in data visualization and UX to present complex datasets clearly and intuitively.
 </li>
 <li>
 Work with business and technical stakeholders to gather requirements and translate data into actionable visual insights.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
 </li>
 <li>
 2+ years of experience in data visualization engineering, data analytics, or business intelligence.
 </li>
 <li>
 Strong hands-on experience with Apache Superset or similar BI tools (e.g., Tableau, Looker, Power BI).
 </li>
 <li>
 Proficiency in Python, including libraries for data manipulation and visualization.
 </li>
 <li>
 Solid experience with SQL for data preparation and processing.
 </li>
 <li>
 Familiarity with JupyterHub or similar notebook environments.
 </li>
 <li>
 Deep understanding of data visualization principles, chart types, and UI/UX best practices.
 </li>
 <li>
 Excellent problem-solving, communication, and collaboration skills.
 </li>
 <li>
 Experience with cloud data platforms and databases (e.g., PostgreSQL, Clickhouse, or cloud-native) is a plus.
 </li>
 </ul>
</div>

Advansys

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
<ul>
<li>Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.</li>
<li>Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.</li>
<li>Build and maintain ETL pipelines for log and metric data using Logstash and Beats.</li>
<li>Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.</li>
<li>Troubleshoot performance issues related to data ingestion, indexing, and search queries.</li>
<li>Implement security best practices, including role-based access control (RBAC) and data encryption.</li>
<li>Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.</li>
<li>Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.</li>
<li>Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.</li>
<li>Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.</li>
</ul>
Technical Skills: 
<ul>
<li>Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.</li>
<li>Experience in writing KQL/Lucene queries and designing visualizations.</li>
<li>Proficiency with Beats and Logstash for data collection and processing.</li>
<li>Experience running Elastic Stack in cloud environments.</li>
</ul>
Certifications: 
<ul>
<li>Elastic Certified Engineer certification is a strong advantage.</li>
</ul>

Elastic Stack Enginner

Advansys ME

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.
 Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.
 Build and maintain ETL pipelines for log and metric data using Logstash and Beats.
 Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
 Troubleshoot performance issues related to data ingestion, indexing, and search queries.
 Implement security best practices, including role-based access control (RBAC) and data encryption.
 Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.
 Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.
 Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.
 Requirements
 
Qualifications : 
Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.
 Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.
 
Technical Skills: 
Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.
 Experience in writing KQL/Lucene queries and designing visualizations.
 Proficiency with Beats and Logstash for data collection and processing.
 Experience running Elastic Stack in cloud environments.
 
Certifications: 
Elastic Certified Engineer certification is a strong advantage.

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
<ul>
<li>Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.</li>
<li>Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.</li>
<li>Build and maintain ETL pipelines for log and metric data using Logstash and Beats.</li>
<li>Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.</li>
<li>Troubleshoot performance issues related to data ingestion, indexing, and search queries.</li>
<li>Implement security best practices, including role-based access control (RBAC) and data encryption.</li>
<li>Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.</li>
<li>Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.</li>
<li>Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.</li>
<li>Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.</li>
</ul>
Technical Skills: 
<ul>
<li>Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.</li>
<li>Experience in writing KQL/Lucene queries and designing visualizations.</li>
<li>Proficiency with Beats and Logstash for data collection and processing.</li>
<li>Experience running Elastic Stack in cloud environments.</li>
</ul>
Certifications: 
Elastic Certified Engineer certification is a strong advantage

Elastic Stack Engineer (Saudi Nationality Only)

Job Summary: 
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.
 
Key Responsibilities: 
Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.
 Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.
 Build and maintain ETL pipelines for log and metric data using Logstash and Beats.
 Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
 Troubleshoot performance issues related to data ingestion, indexing, and search queries.
 Implement security best practices, including role-based access control (RBAC) and data encryption.
 Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.
 Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.
 Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.
 Requirements
 
Qualifications : 
Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.
 Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.
 
Technical Skills: 
Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.
 Experience in writing KQL/Lucene queries and designing visualizations.
 Proficiency with Beats and Logstash for data collection and processing.
 Experience running Elastic Stack in cloud environments.
 
Certifications: 
Elastic Certified Engineer certification is a strong advantage

atmaal

<div>
 <ul>
 <li>
 
 Data Scientist
 
 </li>
 </ul>
 
 
 
 
 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
 <ul>
 <li>
 
 Department
 
 </li>
 </ul>
 
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 <ul>
 <li>
 
 Years of Experience
 
 </li>
 </ul>
 
 
 
 
 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
 <ul>
 <li>
 
 Key Responsibilities
 
 </li>
 </ul>
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

Data Scientist

Explore 1180+ Data visualization engineer in Riyadh this November. Find roles across top companies and apply now to boost your career.

1180 data visualization engineer jobs IN Riyadh

Data Visualization Engineer

Data Visualization Engineer

Elastic Stack Enginner

Elastic Stack Enginner

Elastic Stack Engineer (Saudi Nationality Only)

Elastic Stack Engineer (Saudi Nationality Only)

Data Scientist