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We are looking for a highly motivated and talented Marketing Data Analyst to join our Analytics team and contribute to our marketing organization's strategic decision-making process.
As a Marketing Data Analyst, you will work closely with members of the marketing organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Marketing Data Analyst at our company mean?
Collaborate closely with members of the marketing & product organizations to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our marketing efforts.
Identify new growth opportunities and foster a data-driven culture within the marketing organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

What Youll Do:
Youll be part of the group responsible for our companys main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at our company look like:
You will be working on our companys core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

A day-to-day role as a Team Manager at our company includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.
Key Responsibilities:
- Design and build high-scale systems and services to support data infrastructure and production systems.
- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.
- Implement dockerized high-performance microservices and manage their deployment.
- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.
- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.
- Ensure data is ingested correctly from various sources and is processed efficiently.

Were looking for a Data Engineer to join our team and help shape a modern, scalable data platform. Youll work with cutting-edge AWS technologies, Spark, and Iceberg to build pipelines that keep our data reliable, discoverable, and ready for analytics.
Whats the Job?
Design and maintain scalable data pipelines on AWS (EMR, S3, Glue, Iceberg).
Transform raw, semi-structured data into analytics-ready datasets using Spark.
Automate schema management, validation, and quality checks.
Optimize performance and costs with smart partitioning, tuning, and monitoring.
Research and evaluate new technologies, proposing solutions that improve scalability and efficiency.
Plan and execute complex data projects with foresight and attention to long-term maintainability.
Collaborate with engineers, analysts, and stakeholders to deliver trusted data for reporting and dashboards.
Contribute to CI/CD practices, testing, and automation.

We are seeking a seasoned R&D Group Manager to lead a group of talented engineers in designing and building scalable data pipelines and cloud-native applications. This role is perfect for an experienced and proactive person with outstanding leadership skills. The ideal candidate is a team player who has a passion for data processing and applications at a large scale. This is an amazing opportunity to join a growing product in an enterprise company with ample opportunities for professional growth.
This job is located in Tel Aviv (hybrid).
About Us
we are a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work. Our team values collaboration, flawless execution, and an agile mindset. We offer continuous learning opportunities, including access to training programs, conferences, and workshops to help you grow professionally.
Key Responsibilities
Lead and mentor multiple engineering teams focused on data infrastructure, backend services, and cloud-native applications
Architect and oversee the development of robust, scalable data pipelines and real-time data processing systems
Drive the design and implementation of microservices and serverless applications using AWS (e.g., Lambda, ECS, S3, MongoDB) and Azure (ADX)
Collaborate with product managers, data scientists, and other stakeholders to translate business requirements into technical solutions
Ensure high standards of software quality through code reviews, testing, and automation
Foster a culture of innovation, ownership, and continuous improvement within the group
Manage hiring, performance reviews, and career development for team members.

The data Group is responsible for the data and algorithms which fuel ActiveFences ability to fight online evil at scale, ensuring trust & safety and robust AI security. With the continuous and accelerated expansion of online and GenAI threats, we are seriously scaling up our operation to deal with an ever more complex online landscape. If you love varying challenges, can move fast, and are not afraid of tackling uncharted territories with your code, you might be a good fit here. We're looking for a Senior data Scientist to take our mission to the next level, at scale.
The team Youll be joining a collaborative and inclusive team of data Scientists and ML Engineers. We love thinking together, building great products together, and having a good time together. Its important for us that each team member grows and evolves while providing a significant impact on our product and our clients.
Primary Responsibilities We are looking for a senior data Scientist who will collaborate with fellow data scientists and developers, loves getting their hands dirty with data, code, and experimentation, and is not afraid of taking their code to production and learning from the real world.
* Design and implement models and algorithms for detecting AI security vulnerabilities and exploits and harmful content, across media types whether in vision, text, audio or video.
* Play an active role in taking your models to production, affecting high throughput and low latency, while not compromising on accuracy and correctness.
* Strive to constantly improve our ability to detect harmful content, in a nonstationary, adversarial environment
* Participate in code reviews, design reviews,etc.
* Explore new technologies and enrich other team members with your knowledge
* Use best practices to write clean, maintainable code, and create a high performant, delightful experience for customers
* Find the bad guys, feel proud, inspire your team to do the same

Were looking for an experienced Data Engineer to join our Networking Cluster Solutions (NCS) group and help shape the data backbone behind our advanced R&D telemetry and performance analytics ecosystem.

In this role, youll design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of real-time telemetry data from hardware, communication modules, firmware, and large-scale AI and HPC clusters.
Youll work in a cutting-edge environment that combines software, hardware, and data infrastructure driving the next generation of our cluster performance and monitoring technologies.

The NCS group builds and operates some of our Israels most advanced AI and HPC clusters, optimizing networking and compute performance at scale.

What youll be doing:

Define and execute the groups data technical roadmap, aligning with R&D, hardware, and DevOps teams.

Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying telemetry and performance data.

Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas.

Implement and maintain observability and data quality standards, including schema validation, lineage tracking, and metadata management.

Develop monitoring and alerting for pipeline health using Prometheus, Grafana, or Datadog.

Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and curated datasets.

Promote best practices in data modeling, code quality, security, and operational excellence across the organization.

Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage.

We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.
Description:
Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.
Responsibilities
Design, build, and maintain scalable data processing infrastructure to handle large-scale telemetry from Apple's global device fleet
Develop highly scalable data pipelines to ingest and process storage performance metrics, usage patterns, and system telemetry with actionable alerting and anomaly detection
Build and maintain robust data platforms and ETL frameworks that enable CoreOS Storage teams to access, process, and derive insights from storage telemetry data
Engineer automated data delivery systems and APIs that serve processed storage metrics to various engineering teams across different storage domains

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.