דרושים » דאטה » Senior Data Engineer

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently.
We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

we are seeking an experienced Product Owner focused on the Analytics domain of our X‑Sight platform. This role owns the execution and iterative improvement of capabilities to achieve the analytics vision-including risk scoring, detection model development, insights frameworks, and analytical workflows that support Financial Crime and Compliance outcomes.
The Analytics Product Owner will define and prioritize requirements that elevate decisioning accuracy, expand analytical coverage, increase explainability, and improve model and rule operationalization.
You will work closely with Data Science, Engineering, Cloud Ops, Customer Success, and cross‑product stakeholders to deliver reliable, scalable, and innovative analytics capabilities across our multi‑tenant SaaS platform-ensuring they meet the expectations of a modern FCC analytics ecosystem.
How will you make an impact?
Define and refine the roadmap and backlog for the Analytics domain.
Translate market needs and requirements into clear epics, features, and user stories.
Partner with Data Science and Engineering to design and deliver analytics capabilities.
Enhance model lifecycle management, versioning, and monitoring workflows.
Collaborate with Cloud Ops to ensure scalability, cost‑efficiency, and reliability.
Establish KPIs, monitoring signals, and quality checks for analytics reliability.
Work with Support and SMEs to reduce friction and improve analytical clarity.
Contribute to documentation, demos, and enablement for analytics enhancements.
Ensure alignment with multi‑tenant SaaS architecture and governance models.
Collaborate cross‑functionally to deliver new analytic innovations.

Cardo Systems is a provider of cutting-edge communication and connectivity devices and applications for powersports and outdoor enthusiasts. In 2026, Cardo is proudly unveiling its Beyond Helmet line, the first of its kind in the motorcycle industry, fostering a new age in safety, sound, and communications. After pioneering the world’s first Bluetooth-based wireless intercom headset in 2004, Cardo has been responsible for many of the industry’s innovations, revolutionizing communication, pushing technological boundaries, and enhancing user safety. Now sold in over 100 countries, Cardo is proud to be the world’s leading communication device for groups in motion. We are seeking a highly skilled and product-oriented Mobile Developer with a strong AI-driven development mindset to join our engineering team. In this role, you will design, build, and maintain high-quality mobile applications while leveraging modern AI-assisted development tools to accelerate delivery, improve code quality, and enhance engineering efficiency. You will play a key role in shaping mobile experiences across iOS and Android platforms, working closely with cross-functional teams to deliver scalable, user-centric solutions. This position is ideal for an experienced developer who combines deep mobile engineering expertise with hands-on experience integrating AI into the software development lifecycle — from code generation and testing to debugging and optimization. Full-time position in a hybrid model (from the company’s offices in Raanana / from home). Mobile Application Development Design, develop, test, and maintain high-quality mobile applications for iOS and Android platforms. Own features end-to-end, from architecture and implementation through testing, release, and ongoing maintenance. AI-Driven Development Leverage AI-assisted development tools for code generation, refactoring, debugging, testing, documentation, and technical research. Review, validate, and enhance AI-generated code to ensure high standards of performance, security, reliability, and maintainability. Continuously explore and adopt new AI tools and workflows to improve development efficiency and product quality. Architecture & Technical Ownership Translate product and business requirements into scalable, maintainable mobile solutions. Take ownership of architectural decisions, code quality, and technical direction within the mobile domain. Contribute to code reviews, CI/CD improvements, and release processes. Integration & Product Delivery Integrate third-party APIs, backend services, and AI-powered capabilities into mobile applications. Collaborate closely with Product, Design, Backend, and QA teams to deliver high-impact features aligned with business goals. Engineering Excellence Apply best practices in software engineering, including clean code, version control, testing, and continuous integration. Ensure applications meet high standards of usability, performance, security, and reliability. Stay up to date with advancements in mobile technologies, AI developer tooling, and modern engineering practices.

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
What you will be doing:
Plan and build complex cluster and supercomputers in various of data center and labs
Rack stack and cable management to ensure efficient use of space and easy maintenance
Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
Data centers and labs daily operation and support
Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI
Perform troubleshooting - network, optic cabling, bare metal, operating system.
Support Research & Development activities.

We are looking for an excellent SW Engineer to join the InfiniBand Switch and NVLink Core FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?
What you will be doing:
As a SW Engineer, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology.
Develop the verification process, aligning with quality standards and project timelines.
Design and implement new features in the core of Switch and GPUs
Drive and facilitate the planning, scheduling, and execution of the project and activities of the team
Collaborate with architecture and different software design teams as part of the software development lifecycle.
Work in pre and post-silicon development environments of next-generation networking products.
Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.
Innovate! Bring our FW switching products to shine in customers view.

we are looking for a Senior Data Engineer.
Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.