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Location: Tel Aviv-Yafo
Job Type: Full Time
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 at Palo Alto Networks, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Senior Principal Data Scientist, you will be a technical leader and hands-on architect, bridging the worlds of advanced data science, robust software engineering, and next-generation AI. You will bring a deep, diverse background in classical machine learning algorithms alongside cutting-edge LLM agent architectures to build resilient, production-grade defense techniques against cyber-villains. Operating as a premier technical authority, you will drive the vision, design, and large-scale development of our groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin.
Key Responsibilities
Serve as a hands-on technical compass for a diverse, elite product-oriented research team, pioneering state-of-the-art technologies and setting the engineering standards for AI/ML excellence across the organization.
Design, implement, and optimize robust Agentic LLM solutions and multi-agent workflows engineered to autonomously counter modern, sophisticated cyber threats.
Oversee and actively contribute to the entire end-to-end lifecycle, moving seamlessly from ambiguous research concepts and POCs to high-throughput, low-latency production deployments.
Build and enforce comprehensive frameworks for continuous real-time monitoring, evaluation, and guardrails to track model drift, latency, and agent behavior in production environments.
Decompose highly complex, multi-layered algorithmic problems into actionable technical roadmaps and strategic insights for both deeply technical engineers and executive business stakeholders.
Requirements:
A proven track record as an experienced architect who leads by example, capable of writing core, production-critical code, conducting rigorous architecture reviews, and mentoring senior technical staff.
At least 3 years of hands-on experience building, scaling, and optimizing Agentic LLM systems. This includes deep familiarity with common frameworks (e.g., LangChain, LangGraph, AutoGen) and a sophisticated understanding of tool-use optimization, memory management, and deterministic behavioral alignment.
At least 5 additional years of deep experience in data science, with expert-level command of classical machine learning algorithms applied to complex, real-world data landscapes.
At least 5 additional years of experience as a software engineer with high proficiency in Python and querying languages. You possess deep knowledge of software design patterns, concurrency, CI/CD pipelines, and writing clean, scalable, maintainable code.
BSc in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field from a top university. An advanced degree is highly preferred.
Demonstrated expertise in deploying and operating ML/LLM workloads at enterprise scale. You have a comprehensive understanding of containerization (Docker, Kubernetes), high-throughput data pipelines, and proactive system monitoring.
Exceptional ability to run end-to-end research-to-production initiatives, showcasing an analytical mindset capable of translating raw data into highly accurate, real-time defensive actions.
Extensive, hands-on experience utilizing, fine-tuning, and optimizing open-source generative AI frameworks and libraries (e.g., Hugging Face, PyTorch, vLLM, DeepSpeed) to build and deploy high-performance models.
Proven experience architecting data solutions and working within major cloud and big data ecosystems (e.g., GCP, AWS, Snowflake) to ingest, process, and analyze high-velocity, petabyte-scale datasets.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.
Requirements:
4+ years experience as a Senior Data Engineer / Data engineer lead (Hands-On) / Data architect - working with Cloud environments
Experience in leading and implementing end to end complex Data pipelines and data platforms
Experience with collecting , analyzing and syncing complex data requirements from various data users such as: Data Analysts , Developers , Researchers and Managers
4+ years Experience with Data Modeling using various Data platforms and databases
4+ years Python experience - focused on Data related areas and distributed processing (Experience with at least one of the following:
Spark, GCP DataFlow (Apache Beam), GKE , etc)
Experience with Docker & Kubernetes / GKE
4+ Years experience with Cloud MPP Databases / Data Lakes such as: BigQuery , Redshift , Snowflake , Azure SQL DWH , Azure Kusto
Fluent with SQL
AI:
Using AI as part of the development cycle is second nature for you.
Experience generating code via Prompts and closing the loop by reviewing and testing
Experience writing MCPs , Skills and mds
Soft skills:
Collaborative Mindset: A team-first leader who believes that the best data products are built through collective genius and open communication.
Bridge Builder: Naturally connects the dots between diverse teams-from DevOps to Data Science-to break down silos and streamline data delivery.
Growth-Minded: Approaches feedback as a tool for evolution; possesses the grit to pivot and find the "silver lining" in complex technical setbacks.
Execution Passionate: Genuinely loves the "how" as much as the "what," finding joy in the pursuit of clean code and the deployment of mission-critical pipelines.
Preferred Qualifications
GCP experience
Data science background
Cyber security knowledge.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.
Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products.
Key Responsibilities
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 agentic LLM 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.
Requirements:
Natural scientific curiosity and ability to handle complex problems.
At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-scale deployment and monitoring.
At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL.
Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems.
Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes.
Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences.
Preferred Qualifications
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field.
Background in the cybersecurity domain.
Hands-on experience with open-source generative libraries (e.g., Hugging Face).
Experience working with big data platforms (e.g., GCP).
Familiarity with cloud-native architectures and services for data processing.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8832586
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24/09/2026
Location: Petah Tikva
Job Type: Full Time
We seek an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities:
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.
Requirements:
Required Qualifications:
5+ years of experience with advanced data modeling techniques and concepts (e.g., Facts, Dimensions, Partitions).
5+ years of experience designing and implementing end-to-end data ingestion and ETL processes within Data Lakehouse architectures.
5+ years of hands-on experience programming in SQL and Python, PySpark, Java, or Scala.
Demonstrated experience leading technical projects, driving stakeholder alignment, and navigating cross-functional dynamics.
Proven experience working within cloud environments (AWS or GCP), with a strong requirement for AWS.
Deep understanding of the modern data landscape and open-source tools (e.g., Iceberg, DBT, Airflow).
Proven capability in using and orchestrating Gen-AI workflows based on CloudCode and Cursor.
Preferred Qualifications:
Deep expertise in the AWS ecosystem, including Glue, Athena, SageMaker, and EMR.
Advanced experience with Data Warehouse technologies, especially Apache Iceberg or BigQuery.
Leadership or mentorship experience within a data engineering or analytics unit.
Background or domain knowledge in cybersecurity is a strong advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8832126
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.
Requirements:
7+ years of experience as a Backend Developer / Data Engineer / ML Engineer
3+ years in a technical leadership role.
Python (Java as an advantage)
Bachelors degree in Computer Science or related STEM field (Masters preferred).
Proven track record of building and deploying AI-based solutions at scale.
Deep expertise with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
Strong background in system design, cloud-native architecture, and microservices.
Experience with NoSQL and real-time data processing pipelines.
Exceptional leadership, mentorship, and communication skills.
Strategic mindset with the ability to balance hands-on coding and team leadership.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8831946
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
23/09/2026
Location: Petah Tikva
Job Type: Full Time
We seek an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities:
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.
Requirements:
Required Qualifications
5+ years of experience with advanced data modeling techniques and concepts (e.g., Facts, Dimensions, Partitions).
5+ years of experience designing and implementing end-to-end data ingestion and ETL processes within Data Lakehouse architectures.
5+ years of hands-on experience programming in SQL and Python, PySpark, Java, or Scala.
Demonstrated experience leading technical projects, driving stakeholder alignment, and navigating cross-functional dynamics.
Proven experience working within cloud environments (AWS or GCP), with a strong requirement for AWS.
Deep understanding of the modern data landscape and open-source tools (e.g., Iceberg, DBT, Airflow).
Proven capability in using and orchestrating Gen-AI workflows based on CloudCode and Cursor.
Preferred Qualifications:
Deep expertise in the AWS ecosystem, including Glue, Athena, SageMaker, and EMR.
Advanced experience with Data Warehouse technologies, especially Apache Iceberg or BigQuery.
Leadership or mentorship experience within a data engineering or analytics unit.
Background or domain knowledge in cybersecurity is a strong advantage.
Our
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8831076
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23/09/2026
Job Type: Full Time
Were looking for a hands-on Data Platform Team Lead to guide a high-performing team in designing, scaling, and operating the infrastructure that powers Chargeflows platform.

This role combines architectural leadership with people management. Youll define the technical direction for our data platform while developing engineers, strengthening execution, and building a culture of ownership and technical excellence.

Youll be responsible for the reliability, performance, security, and cost efficiency of data systems supporting millions of daily transactions and critical product, machine-learning, and analytics use cases. This is a role for someone who can move comfortably between long-term architecture, hands-on technical problem-solving, and day-to-day team leadership.

The impact youll have

Build and evolve the data infrastructure that safeguards our clients revenue and powers critical product, ML, and analytics use cases.
Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency).
Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety.

What youll own (Your arena)
Leadership & Mentorship: Lead, mentor, and scale a team of talented data and infrastructure engineers.
Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans.
Data Infrastructure & FinOps: Own the architecture and evolution of our modern data stack and platform services.
Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning.
High-Performance Engineering: Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse).
Operational Excellence Champion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems.
Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems).
Partner on security compliance and data governance across the R&D organization.
Strategic Collaboration: Act as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives.
Translate business goals into platform roadmaps, milestones, and measurable outcomes.
Requirements:
What You Bring
Experience: 6+ years in data platform engineering, data infrastructure, or backend engineering, including 2+ years leading/managing/mentoring engineers.
Strong software engineering: Proficiency in Python (or similar) and modern practices (clean code, CI/CD, testing paradigms).
Data architecture: Extensive experience architecting and operating scalable data lakes/lakehouses, distributed systems, and real-time event-driven architectures.
Cloud-native & IaC: Experience with AWS, GCP, or Azure, plus Docker/Kubernetes and Infrastructure-as-Code (e.g., Terraform).
Databases & storage: Strong knowledge of relational (e.g., PostgreSQL), NoSQL, and analytical databases, including performance optimization, schema design, and cost tuning at scale.
Execution & delivery: Proven track record managing sprint planning, scoping technical projects, and delivering complex infrastructure roadmaps on time.

Nice to Have
Advanced data stack: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark optimization, and big data processing.
Streaming & messaging: Kafka, Kinesis, Flink, Kafka Streams.
Modern tooling: Temporal/Dagster, dbt/DuckDB, Datadog/Grafana, Pydantic.
FinOps & governance: Spot instances/savings plans and compliance frameworks (GDPR/PCI-DSS).
This position is open to all candidates.
 
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8830492
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23/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a strategic product leader to head our Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.

Responsibilities
Define and drive the roadmap for our Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.
Requirements:
Requirements
4+ years of proven experience leading product teams, with a strong track record of growing people and helping them succeed.
Startup mindset: comfortable with ambiguity, fast growth, and evolving processes, while maintaining focus on scalable solutions.
Proven experience leading B2B products and collaborating with partners and strategic customers to deliver impactful solutions.
Strong technical orientation and curiosity, with the ability to quickly understand complex data systems.
Excellent communication and stakeholder management skills, able to explain complex technical concepts in clear, actionable terms.
Experience leading large-scale data platforms, including data ingestion, transformation, and access layers.
Ability to define and track success metrics, analyze performance, and iterate to optimize platform impact.

Advantages
Familiarity with healthcare data ecosystems (EMRs, HIEs, clinical data).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8830299
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23/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, business users don't file ticket requests for dashboards. They ask questions in natural language and get answers directly - through Claude, connected to Looker and our other data tools over MCP. Claude is also our primary tool for writing code here.

That only works if what sits underneath is right. This role owns that foundation: the event instrumentation in our products, the pipelines feeding the warehouse, the models that give the data meaning, and the tests that prove it's correct. You're not producing charts - you're making hundreds of self-served answers trustworthy.

It's an engineering role, but not one you can do from behind the data. You'll need to understand the business well enough to know what a metric should mean before you model it.

Responsibilities
Instrumentation - Own product event tracking end-to-end: define the tracking plan with Product, drive implementation with our frontend and backend teams, audit what's actually firing, and build validation that catches regressions at deploy time rather than three months later.
Pipelines and warehouse - Build and operate batch and streaming pipelines into the warehouse; own its transformation layer, performance, data quality monitoring, and alerting.
Semantic layer - Own metric definitions and the modeled layer our AI and BI tooling query against, so core business terms resolve to one thing company-wide. Design models that hold up under open-ended questions, not just the ones you anticipated. Own lineage, documentation, and governance.
Business partnership - Work directly with Product, Sales, Customer Success, and Finance to understand what they're trying to measure, and push back when a proposed metric won't survive contact with reality.
Our stack
Redshift, Looker, Airflow, Kafka, AWS, Kubernetes, Python, SQL, TypeScript - with Claude and MCP as the layer connecting people to all of it.
Requirements:
5+ years building and operating production data infrastructure - pipelines, warehouses, and models you owned end-to-end
Deep SQL and strong dimensional modeling; hands-on with a cloud warehouse (Redshift, Snowflake, BigQuery)
2+ years of Python in production
Airflow or an equivalent orchestrator
Demonstrated ownership of product event instrumentation - tracking plan design, implementation with product engineers, and data quality validation
Able to read application code (TypeScript/Node.js)
Background in engineering or computer science
Advantage: Kafka or equivalent streaming dbt or similar LookML or another semantic layer CI/CD and testing applied to data building data for LLM/agent consumption MCP geospatial data marketplace or high-traffic consumer products
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8830273
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דיווח על תוכן לא הולם או מפלה
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תיאור
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
23/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a BI Lead to join our Data team. You will define the metrics the company runs on, make sure they are modeled correctly, and set the technical standards our analysts work with. You'll work directly with Sales, Product, and Marketing leaders to align on what we measure and why. As our technical lead for analytics, you own the definitions and standards that drive business decisions across.
As our BI Lead, you'll own the analytics function end-to-end: defining what we measure and why, setting technical and organizational standards for how we measure it, and empowering teams across the organization to make data-driven decisions. You'll be hands-on technically while also developing processes that scale.
Key Responsibilities:
Define, own, and validate business logic behind core KPIs with executives, align definitions with relevant stakeholders, and once approved, model them in the data warehouse to ensure consistent, trusted metrics across all teams.
Work closely with stakeholders across the company (Sales, Product, Marketing, etc.) to understand what needs to be measured, why and how.
Collaborate with Data Engineers and Business Analytics to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Lead the evaluation, selection, and optimization of BI and data infrastructure in collaboration with data engineering.
Build and maintain the cross-company dashboards and reports that business leaders actually rely on to make decisions.
Requirements:
5+ years in analytics, BI, or data product management working in B2B SaaS companies, ideally developer tooling or platform.
Strong understanding of business analytics, KPI definition, and metrics design, alongside data science, performance marketing, and growth analytics.
Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production.
Experience working with a modern data stack: warehouse (Snowflake or similar), dbt or an equivalent transformation layer, a semantic layer, and a BI tool.
Ability to translate business questions into analytical frameworks, metrics definitions, dashboards, and experimentation plans.
Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8830022
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דיווח על תוכן לא הולם או מפלה
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תיאור
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
22/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Design, build, and maintain robust pipelines feeding both DWH and production processes
Own pipeline orchestration in Apache Airflow end to end, including DAG design, monitoring, alerting, and production reliability
Design the data models behind our core domains and the contracts that downstream consumers depend on
Partner with business analysts, PMs, and business stakeholders to translate product and business questions into stable, qualified, and well-modeled data
Work with a variety of data sources including product events, application data, APIs, operational databases, logs, and third-party systems
Debug and solve data quality, pipeline, performance, and reliability issues
Use and create AI agents and LLM-based tooling to improve development, testing, documentation, and root cause analysis
Be part of the team and adopt effective ways of using AI tools in the engineering workflow.
Requirements:
3+ years in data engineering or a similar data-focused engineering role
Strong hands-on Python and SQL skills, with the ability to write clean, performant, and maintainable code
Proven track record of building and running code in large scale production environments
Deep, hands-on Apache Airflow experience, including ownership of production DAGs at scale
Deep data modeling expertise and the ability to design clean, scalable data assets that hold up as the business changes
Strong business and product orientation. You care about what the metric means, not just whether the job succeeded
Experience working with PMs, analysts, and business stakeholders to understand requirements and build the right data solutions
Practical experience using AI coding agents and LLM-based tools as part of your daily engineering workflow
Experience working with large and varied data sources including product events, application data, APIs, operational databases, logs, and third-party systems
Strong debugging and problem-solving skills around data quality, pipeline failures, performance, and reliability
Nice to have
Experience running data workloads in containerized or Kubernetes-based environments
Experience with large-scale or distributed processing using Spark / PySpark
Experience with query engines such as Trino
Experience with CI/CD and software engineering best practices
Experience building internal tooling or agents on top of LLMs.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8828507
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דיווח על תוכן לא הולם או מפלה
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תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Ra'anana
Job Type: Full Time
We are seeking an experienced and highly motivated Data Center Manager to lead the planning, operation, growth, and strategic development of our global lab and data center infrastructure. This role combines technical leadership, operational excellence, team management, and long-term capacity planning to support the company's rapid growth and evolving technological needs. Reports To: VP Global IT
The ideal candidate will bring extensive experience in large-scale data center environments, strong networking expertise, and a proven ability to lead teams and manage multiple sites while ensuring high availability, efficiency, and scalability.
Key Responsibilities
Leadership & Team Management
Partner with lab customers to define long term infrastructure roadmaps, anticipate future needs, and align lab growth with business and engineering objectives.
Lead, mentor, and develop a team of data center and lab engineers.
Establish operational standards, processes, and best practices across all lab locations.
Drive a culture of accountability, innovation, and continuous improvement.
Manage resource allocation and prioritize activities to meet business objectives.
Data Center & Lab Operations
Oversee the day to day operation of company labs and data center facilities.
Ensure high availability, reliability, and operational excellence across all environments.
Maintain real time visibility into lab status, capacity, utilization, and health.
Monitor infrastructure components, resource consumption, and workload distribution across the labs.
Provide ongoing operational reporting and status updates to management.
Strategic Planning & Capacity Management
Define and execute the long term growth strategy for the company's lab and data center infrastructure.
Forecast capacity requirements and proactively plan infrastructure expansion.
Monitor utilization trends, workload distribution, and resource consumption.
Optimize infrastructure allocation to maximize efficiency, performance, and scalability.
Develop forward looking plans to support upcoming projects and business initiatives.
Infrastructure Expansion & Projects
Lead the design, deployment, and commissioning of new data centers and lab facilities.
Plan and manage expansion projects for existing sites.
Coordinate infrastructure initiatives across multiple locations and stakeholders.
Ensure projects are delivered on time, within scope, and aligned with business needs.
Manage infrastructure lifecycle planning, including upgrades, replacements, and capacity enhancements.
דרישות:
Must Have
10+ years of experience in data center operations, infrastructure management, or related fields.
Strong hands-on expertise in networking technologies and large scale network infrastructures.
Proven experience managing teams of at least 10 employees in a global company.
Experience managing multiple data center or lab locations simultaneously.
Demonstrated success in capacity planning, infrastructure growth, and operational management.
Experience leading data center construction, expansion, or large scale infrastructure deployment projects.
Strong project management and execution skills.
Excellent leadership, communication, and stakeholder management capabilities.
Ability to operate effectively in a fast-paced, high-growth technology environment.
Nice to Have
Experience with liquid cooling technologies and next-generation data center cooling solutions.
Experience building or operating high density AI, HPC, or large scale compute environments.
Familiarity with infrastructure monitoring, automation, and orchestration platforms.
Experience managing global lab environments supporting R&D and product validation activities.
Success Metrics
High availability and operational stability across all lab and data center environments.
Accurate capacity planning and proactive infrastructure scaling.
Efficient workload balancing and optimal המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8828137
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
22/09/2026
מיקום המשרה: חיפה
סוג משרה: משרה מלאה
דרוש/ה ממונה על פעילות data ו AI
ביחידה: אגף משאבי אנוש
תיאור התפקיד:
ריכוז, אפיון ופיתוח פתרונות data, אוטומציה ו AI עבור האגף, תוך עבודה שוטפת מול אגף המחשוב ועל בסיס התשתיות הארגוניות המאושרות
ניהול ה data האגפי, פיתוח דוחות ו dashboards, לאחר אפיון צרכים עסקיים
פיתוח פתרונות AI , בכלים ארגוניים, vibe coding builder, והובלת והטמעת פתרונות דיגיטאליים לשיפור תהליכי העבודה באגף
ניתוח נתונים, בקרה ודיווח שוטפים על פי התהליכים העסקיים שיוגדרו עם ראש האגף
ביצוע מטלות בהתאם לצרכים משתנים
עבודה עפ"י מדיניות האיכות, איכות הסביבה, הבטיחות והבריאות בתעסוקה
ממשקים עם גורמי פנים וחוץ
היקף משרה:
100% משרה, 40 ש"ש, 5 ימים בשבוע.
דרישות:
השכלה אקדמית בתחום ניהול מערכות מידע / הנדסת תעשיה וניהול / מדעי המחשב / כל תחום השכלה שעונה על התיאור המוזכר לעיל
ניסיון והיכרות עם תהליכי משאבי אנוש - יתרון
ניסיון של לפחות שנה באפיון והטמעת תהליכים ומערכות, ניהול פרויקטים – חובה
ניסיון בכתיבת מסמכי אפיון – חובה
ניסיון בעבודה עם כלי BI כגון SAP BW /SAP SAC / SAP BDC / Power BI
ניסיון או יכולת מוכחת בפיתוח פתרונות AI Low Code לרבות Vibe Coding
יכולת בניית מודלי AI: עיבוד מסמכים, חילוץ מידע, סיווג טקסט, ניתוח פניות, חיזוי ויצירת טקסט
יכולת פיתוח פרומפטים, בדיקת איכות תוצרים והטמעת בקרות שימוש ב-AI
היכרות עם כלי אוטומציה ו-low-code/no-code
יכולת למידה והובלה של פתרונות AI ארגוניים
הבנה בסיסית בממשקים בין מערכות, הרשאות, איכות נתונים ואבטחת מידע
כישורים אישיים:
עצמאות, יוזמה ויכולת עבודה מול ממשקים רבים
חשיבה מערכתית ותהליכית
יכולת תרגום צרכים עסקיים לשפה טכנולוגית
שירותיות גבוהה
סקרנות טכנולוגית
יכולת הטמעה והדרכת משתמשים
אחריות וזהירות בעבודה עם מידע רגיש
שפות:
עברית- ידיעה טובה מאד
אנגלית- ידיעה טובה מאד. המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8828004
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סגור
דיווח על תוכן לא הולם או מפלה
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תיאור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Petah Tikva
Job Type: Full Time
We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.
Requirements:
5+ years of hands-on experience as a Data Engineer, building data systems from scratch in dynamic environments.
Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Strong proficiency in Python and advanced SQL, with solid experience in data modeling.
Proven experience designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
Strong experience working with AWS, including services such as S3, Athena and DynamoDB.
Experience working with big data processing frameworks such as Spark, and columnar data formats (e.g., Parquet).
Hands-on experience with workflow orchestration tools such as Airflow.
Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
Fluent in English.
Nice to have:

Experience with data platform technologies such as Databricks, Snowflake.
Experience building data platforms using modern lakehouse technologies (e.g., Iceberg).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8827701
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סגור
דיווח על תוכן לא הולם או מפלה
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תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
20/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Query Infra Team Lead to build and lead this team - someone who comes from deep data infrastructure, analytical databases, search infrastructure, and large-scale querying, and who wants to shape one of the most important technical foundations of platform.
What youll do
Create, build and lead Data Infra team from the ground up.

Own the infrastructure of investigation data layer for the Platform.

Turn investigation infrastructure into a dedicated, well-defined platform capability.

Design and evolve the data models, schemas, indexing strategies, and query patterns that power investigation databases.

Lead the architecture, operation, and scaling of the databases and search infrastructure that power investigation, analytics, and query use cases across the platform.

Partner closely with Product, Backend, DevOps, Security Research, and customer-facing engineering teams to define clear boundaries, contracts, and data-layer APIs.

Make the data layer reliable, observable, cost-efficient, and performant across many tenants and large volumes of security data.

Set engineering standards for schema design, data modeling, query optimization, migrations, backfills, and data-quality monitoring.

Mentor engineers, review technical designs, and raise the bar for how builds and operates data infrastructure.

Stay hands-on: this is a leadership role for someone who can still go deep into architecture, production issues, performance bottlenecks, and complex queries.
Requirements:
Experience leading engineers or acting as a technical lead in a data infrastructure, platform, backend infrastructure, or database-oriented team.

Strong hands-on background with large-scale analytical databases, data platforms, or search infrastructure.

Deep understanding of data modeling, query optimization, indexing, partitioning, storage layouts, and performance tradeoffs.

Production experience with ClickHouse, Elasticsearch, or similar technologies such as BigQuery, Snowflake, Redshift, OpenSearch, or other analytical/search systems.

Strong backend engineering fundamentals and the ability to design systems that are reliable, scalable, observable, and maintainable.

Experience operating data systems in production: monitoring, incident response, capacity planning, cost management, migrations, and backfills.

Ability to define clean interfaces between platform infrastructure teams and product/application teams.

A leadership style that combines technical depth, ownership, mentorship, and strong cross-team collaboration.

Comfort working in a fast-moving startup environment where the team is still being shaped and the technical foundations are evolving.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8826805
סגור
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