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CodeValue is looking for a passionate and skilled Data Engineer to join our growing data team. If you're excited about designing robust data pipelines, working with modern cloud data stacks, and exploring the world of Generative AI – we’d love to meet you. This is a hands-on position where you'll build and optimize data infrastructure, collaborate with analysts and stakeholders, and help shape data-driven solutions for a wide range of clients and industries.

We are looking for a Senior Data Scientist with deep expertise in Large Language Models (LLMs), Deep Learning, and Neural Networks to join our Threat Research group, located in our Tel Aviv Office. Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities :
Serve as the technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications.
Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
Drive hands-on research from ideation through prototyping to scalable production systems.
Collaborate with product and engineering teams to integrate advanced AI models into security solutions.
Analyze complex, high-dimensional security data (including text, logs, network traffic, and more) to identify emerging threats and attack patterns.
Mentor and guide other data scientists and contribute to the teams technical growth.
Represent in the AI and security communities through thought leadership, publications, presentations, and patents.

We are looking for a highly technical and innovative, hands-on Experienced Data Scientist to join our Threat Research group, located in our Tel Aviv office.
Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities:
Lead and execute data-driven research projects in application and data security, using advanced machine learning and deep learning techniques.
Own the end-to-end research process: from ideation and prototyping to delivering models to production environments.
Develop, implement, and optimize innovative security solutions to be integrated into products.
Analyze large-scale security data (network traffic, application requests, database transactions) to uncover hidden patterns, threats, and attack vectors.
Contribute to team knowledge sharing and thought leadership (e.g., technical blogs, patents, conference presentations, workshops).

We are looking for a skilled and proactive Database Administrator to join our dynamic team. As a Database Administrator , you will be responsible for designing, implementing, and managing data lake architecture to meet business needs while ensuring high performance, security, and compliance. Key Responsibilities:
* Design, implement, and manage data lake architecture to support business objectives.
* Monitor and optimize data lake performance for high availability and reliability.
* Develop and enforce data governance policies and procedures.
* Collaborate with data engineers, data scientists, and other stakeholders to integrate data sources and support analytics initiatives.
* Implement security measures to safeguard sensitive data and ensure regulatory compliance.
* Troubleshoot and resolve issues related to data ingestion, storage, and processing.
* Maintain comprehensive documentation of data lake processes, configurations, and best practices.
* Stay up-to-date with the latest trends and technologies in data management and analytics.

At UVeye, we are on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400 million in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Data Engineer to join our Data team. In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how you’ll make an impact:
* Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
* Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
* Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
* Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
* Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

DealHub offers a cutting-edge quote-to-revenue solution designed to streamline sales processes, accelerate deal cycles, and deliver predictable revenue for mid-market and enterprise B2B SaaS companies. Our intelligent platform empowers organizations to connect their teams, simplify workflows, and close deals with efficiency and precision. About the Role We’re looking for a strategic, data-driven professional to take full ownership of the data function at DealHub. As our Business Analysts Lead you will be the key figure connecting data across all departments: from Product to Sales, Marketing to Finance — transforming raw data into actionable insights that drive company-wide decisions. This is a unique opportunity to build and shape the way DealHub uses data at scale. You'll work closely with senior leadership, take an active part in setting KPIs, monitor business performance, and provide clear recommendations that impact our roadmap and growth. What you'll do:
* Serve as the company-wide go-to person for data, analysis, and strategic recommendations
* Build dashboards and reports that support decision-making across all departments
* Analyze key business metrics and surface actionable insights
* Work independently with large datasets to identify trends, anomalies, and opportunities
* Partner with leadership to track KPIs and company goals
* Own and optimize our BI tools and data infrastructure

We are a Data and innovation team operating under the CTO group. We lead cutting-edge initiatives in data technologies and strategic innovation projects.

Our mission is to explore and implement new technologies and enrich the companys internal data assets through smart collection, integration, and automation.

We move fast, work across multiple domains, and maintain a culture that values curiosity, ownership, and impact.

This is an on-site position.



Responsibilities

Take end-to-end ownership of data pipelines: from extraction (web scraping, APIs), through transformation and orchestration, to delivering accessible and valuable datasets.
Integrate new and external data sources into the companys internal platforms.
Solve real-time issues and optimize pipeline performance through smart automation.
Collaborate with cross-functional teams to improve access to high-quality, structured data.
Work on multiple projects simultaneously in a dynamic and agile environment.
Lead and contribute to early-stage innovation projects directly impacting business strategy.

You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?
Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files.
Enhance our data warehouse system to dynamically support multiple analytics use cases.
Reimplement and productize scientific computational methods.
Implement data governance policies and procedures to ensure data quality, security, and privacy.
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements.
Develop and maintain documentation for data pipelines, processes, and systems.

looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

We are a global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are seeking a Senior data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the Big Data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities:
* Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
* Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
* Analyze large, complex data sets to address strategic and operational business questions.
* Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
* Perform qualitative, quantitative, and statistical analysis.
* True passion for understanding data and finding Insights.
* Provide actionable recommendations and conclusions from data to shape features and future product road maps.