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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.

We are seeking a passionate and seasoned Senior Finance data Analyst to join our data team and lead our disruptive product on the B2C channel. The ideal candidate should be able to develop effective and efficient data analysis solutions, interpret and communicate data -driven insights to inform decision-making, and support data -driven initiatives that drive business objectives.
About The Role Collect, analyze, and interpret financial data to provide insights into business performance. Develop and maintain financial reports, dashboards, and visualizations to support decision-making Prepare ad-hoc analyses and reports on revenue, costs, profitability, and other key financial metrics. Performing financial reconciliation with business partners, focusing on payment reconciliation and ongoing monitoring of financial transactions. Responsible for importing, managing, and maintaining data from leading financial systems such as Stripe and Nuvei while ensuring data accuracy and completeness. Conducting cross-validation and verification of data between the company's internal systems and external systems, including sales data verification against payment service providers. Perform data validation and reconciliation to ensure accuracy across multiple sources. Automate and streamline data collection processes to improve reporting efficiency. Continuously seek ways to improve data reporting processes, financial modeling, and forecasting accuracy.

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.

Required Principal Data Scientist - LLM/GenAI (Cortex)
Your Career
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach
Design and implement LLM-based solutions to face modern cybersecurity challenges
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

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 looking for a brilliant Marketing data Analyst to join our data department. As part of this position, you will be working alongside various marketing teams that are responsible for acquisition of new users. You'll use your analytical, technical and business expertise to track and measure marketing efforts, uncover trends, spot opportunities, and support key decision-making processes. You will be required to answer complex questions defined by executive management and various business units, develop insightful recommendations and initiate deep-dive analyses. Were looking for someone with a passion for numbers and marketing domain, a proactive mindset who brings creative ideas to solve tough challenges and spot new opportunities.You will leverage AI tools, automation, and advanced analytics to streamline workflows, uncover insights, and support data -driven marketing decisions.
What am I going to do:
* Conduct deep-dive analysis to answer complex business questions and deliver comprehensive recommendations.
* Build and maintain the teams reporting set and dashboards.
* Develop marketing measurement methodologies and data science models.
* Provide ROI-based recommendations to optimize marketing spend across channels.
* Identify opportunities for automation and smarter ways of working through data and AI tools.
* Manage multiple tasks in a fast-paced working environment.
* Collaborate closely with stakeholders across the marketing department.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Senior Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data-related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure