we are the leader in hybrid-cloud security posture management, using the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. we are looking for a talented Senior data Engineer Join a core team of experts responsible for developing innovative cyber-attack techniques for Cloud-based environments (AWS, Azure, GCP, Kubernetes) that integrate into our fully automated attack simulation. About the Role:We are seeking an experienced Senior data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure, ensuring the availability, reliability, and quality of our data. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate across teams to deliver data -driven solutions.Key Responsibilities:
* Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
* Develop and optimize data models, schemas, and Storage solutions to support analytics and Machine Learning initiatives.
* Collaborate with software engineers and product managers to understand data requirements and deliver high-quality solutions.
* Ensure data quality, integrity, and governance across multiple sources and systems.
* Monitor and troubleshoot data workflows, resolving performance and reliability issues.
* Evaluate and implement new data technologies and frameworks to improve the data platform.
* Document processes, best practices, and data architecture.
* Mentor junior data engineers and contribute to team knowledge sharing.

As a Senior Data Engineer , youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.

Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.

Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.



Responsibilities:

Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

We are seeking a talented BI Developer to join our team. The ideal candidate will have a strong background in business intelligence, data analysis, and database management, with a passion for gaming. The BI Developer will play a key role in designing, developing, and maintaining our data infrastructure, as well as providing insights and analytics to support data-driven decision-making across the organization.

Responsibilities:
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain dashboards, reports, and visualizations to provide insights into key business metrics and performance indicators.
Perform data analysis to identify trends, patterns, and opportunities for optimization and improvement.
Optimize and tune SQL queries and database performance to ensure efficient and reliable access to data.
Collaborate with data engineers and other stakeholders to continuously improve data quality, accuracy, and reliability.
Stay up-to-date with industry trends and best practices in business intelligence, data analytics, and gaming technology.

we are looking for a Data Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.

Were looking for a hands-on leader to take ownership of our data and analytics landsape.
This isnt a pure management role we need someone who can roll up their sleeves, dive into AWS environments, and still have the strategic view to guide a growing data team.
The ideal candidate combines strong technical expertise in data engineering and analytics with a solid understanding and genuine passion for Artificial Intelligence (AI) including how AI can enhance data-driven decision-making and operational efficiency in the financial domain.
In this position youll:
Shape the companys overall data strategy and decide how we store, move, and use data across the business.
Lead a small but growing group of engineers, analysts, and BI specialists, making sure they have the right tools and direction.
Stay close to the technology designing and reviewing data pipelines, checking performance, and being the go-to person for AWS data solutions like Redshift, Glue, Athena, S3, and others.
Work with business leaders (finance, risk, compliance) to turn their questions into clear, data-driven answers.
Identify opportunities to integrate AI/ML into data workflows and business processes.
Establish best practices for data governance, quality, and security in a financial services org.
Drive automation and efficiency through modern data and AI tools

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.

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.

We're looking for an experienced BI Developer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.
Responsibilities:
Build end to end data solutions by translating business requirements into data models.
Develop complex ETL processes.
Pull data from various data sources and integrate into the ETL process.
Optimize workloads to reduce cost and improve performance.
Develop monitoring over BI infrastructure.
Work closely with all departments to deliver insights from over a Billion daily events and over 50 Marketing channels.

As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.



Description

Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.