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Location: Merkaz
We are looking for an experienced Network professional to join our Network Data-Center Team.
עוד על התפקיד
Sizing, designing, implementing and maintaining network data-center in a large-scale enterprise
Planning and writing LLD/HLD documents integrating network data-center solutions
Operating and troubleshooting various network systems.
Requirements:
At least 5y experience in network environment - special consideration will be given to applicants with army experience and to network engineers / integrators
Profound knowledge in network data-center and load-balancing equipment - Routers, Switches and Network Load Balancers
Hand-on experience with Networking solutions of Cisco and F5 (LTM)
Proven experience with SDN solutions - NSX-T, ACI
Proven experience with Cisco nexus switches series (e.g N9K)
Automation skills using Python, Perl etc..
Profound knowledge in networking protocols - OSPF, BGP, Multicast, VXLAN, VPC, STP..
כישורים נדרשים
Ability to troubleshoot network security infrastructure and equipment
Networking certification - CCNA, CCNP, CCIE - an advantage.
This position is open to all candidates.
 
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2 ימים
דרושים בקונסיסט מערכות בע"מ
Job Type: Full Time
We are looking for an experienced Network professional to join our Network data -Center Team.
תיאור תפקיד:

Sizing, designing, implementing and maintaining network data -center in a large-scale enterprise
Planning and writing LLD/HLD s integrating network data -center solutions
Operating and troubleshooting various network systems
Requirements:
At least 5y experience in network environment - special consideration will be given to applicants with army experience and to network engineers / integrators
Profound knowledge in network data -center and load-balancing equipment - Routers, Switches and Network Load Balancers
Hand-on experience with Networking solutions of Cisco and F5 (LTM)
Proven experience with SDN solutions - NSX-T, ACI
Proven experience with Cisco nexus switches series (e.g N9K)
Automation skills using Python, PERL etc..
Profound knowledge in networking protocols - OSPF, BGP, Multicast, VXLAN, VPC, STP..

יתרונות:
Ability to troubleshoot network security infrastructure and equipment
Networking certification - CCNA, CCNP, CCIE - an advantage
This position is open to all candidates.
 
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2 ימים
דרושים בOne DatAI
Location: Petah Tikva
Job Type: Full Time and Hybrid work
We are looking for an experienced, hands-on data Engineering team lead with deep technical expertise for a key role in a dynamic project and consulting environment.

This role is ideal for someone who combines strong professional and technical authority, the ability to lead people and projects, and the mental flexibility to seamlessly switch between different domain areas, clients, and technological challenges.

Professional & Technical Leadership: Lead a team of data Engineers.
Databricks Focus: Extensive work with Databricks, leading platform-based solutions.

Technical Decision-Making: Make key architectural decisions and provide expert guidance to teams, clients, and stakeholders.
Design & Architecture: Perform design and architecture for complex data solutions
Pipeline & Platform Management: Lead data Engineering processes including data pipelines, ETL /ELT workflows, integrations,
Requirements:
5-7+ years of experience in data Engineering, with significant experience in a Senior / Tech Lead / team lead role.
Proven experience with Databricks, dbt, or Snowflake (Strong preference for Databricks).
Hands-on experience in designing and building data pipelines and ETL /ELT processes.
Strong proficiency in Python and SQL.
Deep knowledge of modern data architectures.
Cloud Experience: Practical experience with Azure, AWS, or GCP.
Big Data & Distributed Processing: Hands-on experience with Big Data technologies, specifically Apache Spark / PySpark.
Architecture Advantage: Experience with Delta Lake / Lakehouse architecture (Major advantage).
Leadership Experience: Proven track record in professional/technical leadership of data Engineers.
Project Leadership: Experience leading end-to-end technical projects (Major advantage).
Consulting/Agency Background: Experience in a consulting firm
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across.
Requirements:
5+ years of hands-on experience designing and operating enterprise or datacenter networks.
Strong expertise in routing and switching technologies.
Experience with network security technologies including firewalls, VPNs, IDS/IPS, and network segmentation.
Hands-on experience with BGP, OSPF, VLANs, VRFs, and modern networking concepts.
Experience with VXLAN, EVPN, MPLS, or similar overlay technologies - an advantage.
Experience with network automation and scripting (Python, Golang, Shell, or similar).
Strong troubleshooting and problem-solving skills.
Excellent communication and collaboration abilities.
Preferred Experience
Fortinet, Cisco, Palo Alto, Arista, Juniper, or F5 technologies.
Datacenter and cloud-scale environments.
Kubernetes and container networking.
Infrastructure-as-Code and automation frameworks.
Network Access Control (NAC) and Zero Trust architectures.
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across
Requirements:
5+ years of hands-on experience designing and operating enterprise or datacenter networks.
Strong expertise in routing and switching technologies.
Experience with network security technologies including firewalls, VPNs, IDS/IPS, and network segmentation.
Hands-on experience with BGP, OSPF, VLANs, VRFs, and modern networking concepts.
Experience with VXLAN, EVPN, MPLS, or similar overlay technologies - an advantage.
Experience with network automation and scripting (Python, Golang, Shell, or similar).
Strong troubleshooting and problem-solving skills.
Excellent communication and collaboration abilities.
Preferred Experience
Fortinet, Cisco, Palo Alto, Arista, Juniper, or F5 technologies.
Datacenter and cloud-scale environments.
Kubernetes and container networking.
Infrastructure-as-Code and automation frameworks.
Network Access Control (NAC) and Zero Trust architectures.
This position is open to all candidates.
 
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חברה חסויה
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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1 ימים
Location: Yokne`am
Job Type: Full Time
We are looking for a Data Center Deployment Specialist to join its Infrastructure Specialists team. Academic and commercial groups around the world are using our products to redefine deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest data centers in the world! We are in search of a candidate with the capacity to collaborate within a complex customer-focused team that necessitates superb communication skills

What you will be doing:

Deploy and support our products.

Guide and supervise 3rd party contractors in field or remote settings.

Ensure accurate cable installations, including the number and type of connections, port assignments, and timing of activity while following standard methodologies.

Print labels for re-labeling cables based on a Point to Point (P2P) scheme.

Conduct quality testing of all cables used.

Resolve issues involving cabling components.

Validate and update all related work instructions for cabling activities.

Provide input on Data Center Standards updates as needed, while balancing multiple tasks and priorities and actively participating in project calls.

Ensure all relevant physical assets are recorded in Asset Manager and that all inventory-related fields are accurately recorded.

Inspect all received hardware shipments and receiving duties.
Requirements:
What we need to see:

2-3 years of experience as a data center technician, field service engineer, or similar.

Bachelor's degree or equivalent experience.

In-depth knowledge of data center environments, servers, and network equipment.

Experience with liquid-cooled systems.

Extensive experience in installing, monitoring, and maintaining data center equipment.

Outstanding ability to work as part of a team, provide IT support, and resolve errors with proficiency in detailing network processes.

Willingness to travel (~50%).


Ways to stand out from the crowd:

Network fix, including looking at port counters, errors, etc.

Collaboration with R&D and network engineering teams.

Positive interaction capabilities.
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do:
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives.
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security.
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization.
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.
Requirements:
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2+ years of proven experience developing large-scale software using an object-oriented or functional language.
5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses.
Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code.
Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR.
Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL.
Experience with data pipeline orchestration and scheduling using tools such as Airflow.
Strong problem-solving skills and the ability to work independently as well as part of a team.
High-level English - a must.
A team player with excellent collaboration skills.

Nice to Have:
Expertise with Vertica or Redshift, including experience with query optimization and performance tuning.
Experience with machine learning and/or data science projects.
Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
Knowledge of Spark internals (tuning, query optimization).
This position is open to all candidates.
 
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חברה חסויה
Location:
Job Type: Full Time and Public Service / Government Jobs
We are seeking an experienced and professional Data Engineer to join our technology team.
The role involves designing, developing, and implementing data engineering solutions, working with big data systems, integrating systems, managing cloud-based data infrastructure, and leveraging AI tools to enhance data processing and analytics.
the ideal candidate will have proven experience with advanced technologies, including AI-driven tools, and the ability to work in a dynamic and challenging environment.
Requirements:
At least 3 years of experience in Data Engineering or data systems development roles
Proficiency in python and java
Experience with kafka for real-time data streaming and processing
Experience with kubernetes and OpenShift (OCP) for container management
Familiarity with Big Data systems such as Hadoop and Vertica
Experience with Elasticsearch for log and data analytics
Experience with Oracle and Redis
Experience with cloud platforms such as AWS and GCP, including services like S3, EC2, BigQuery, and cloud Functions, experience with AI-driven tools such as kero, Claude code, and MCP
Ability to integrate AI models into data pipelines for predictive analytics and automation.
This position is open to all candidates.
 
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16/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking talented and passionate Senior Data Engineer to join our Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.

Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.
Requirements:
What we are looking for:
7+ years of experience as a Data Engineer, building and managing complex data pipelines and data-intensive applications.
Solid understanding and application of software engineering principles and best practices. Proficiency in a relevant programming language (e.g., Python, Scala, Java) is highly desirable.
Deep expertise in writing, optimizing, and troubleshooting complex SQL queries for data transformation, aggregation, and analysis in relational and analytical database environments.
Hands-on experience with distributed data processing systems, cloud-based data platforms, data warehousing concepts, and workflow management tools.
Strong ability to diagnose complex technical issues, identify root causes, and develop effective, scalable solutions.
A genuine enthusiasm for tackling new data challenges, exploring innovative technologies, and continually expanding your skillset.
A keen interest in understanding how data powers product features and drives business value, with a focus on delivering results.
Excellent ability to communicate technical ideas clearly and work effectively within a multi-disciplinary team environment.
Advantages:
Familiarity with the marketing/advertising technology domain and associated datasets.
Experience with data related to creative assets, particularly video or image analysis.
Understanding of MLOps principles or experience supporting machine learning workflows.
This position is open to all candidates.
 
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חברה חסויה
Location: Rosh Haayin
Job Type: Full Time
We are looking for a talented and experienced Mid-Level Data Engineer with a passion for data and cloud technologies to join our team. In this role, you will be a key player in designing, developing, and maintaining our AWS and Databricks-based data platform. You will bridge the gap between robust Data Engineering, Database Administration (DBA), and high-performance Analytics Engineering.

The ideal candidate understands the Lakehouse architecture, has experience managing modern cloud data warehouses like Snowflake, and possesses the ability to build scalable ETL pipelines that drive data-driven business decisions.

Key Responsibilities

End-to-End Pipelines: Develop and maintain complex ETL/ELT pipelines using Python/PySpark on the Databricks platform, as well as loading and transforming data within Snowflake.
Data Architecture: Implement and manage data layers following the Medallion architecture (Bronze, Silver, Gold) using Delta Lake.
Optimization & Analytics: Set up and manage Databricks SQL Warehouses, perform query optimization, and utilize internal visualizations for rapid data exploration.
Cloud Infrastructure: Leverage AWS cloud services to manage data storage, compute resources, and secure data movement.
DBA & Performance Tuning: Act as a custodian for our data platform-managing indexing, clustering, vacuuming, and performance tuning across both Delta Lake and relational/warehouse environments to ensure cost-efficiency and high speed.
Data Modeling: Design data models (Star Schema / Snowflake) in the Gold layer to ensure optimal performance for BI tools (e.g., Power BI, Tableau).
Data Governance: Manage metadata, permissions, and lineage using Unity Catalog and platform-specific access controls.
Quality Control: Implement automated Data Quality tests as an integral part of the CI/CD data pipelines.
Requirements:
5+ years of experience as a Data Engineer or Data Engineer/DBA - Must.
Strong hands-on experience with the AWS ecosystem (S3, IAM, EC2, etc.) and modern cloud data warehouses, specifically Snowflake.
At least 1 year of intensive, hands-on experience with the Databricks platform (including Notebooks and Workflows).
High proficiency in PySpark (or Spark Scala).
Expertise in writing complex SQL (Window Functions, CTEs) alongside DBA-level performance tuning (query profiling, indexing, partition pruning).
Technical Knowledge: Practical experience with Delta Lake, file formats (Parquet), and working with Cloud Storage (AWS S3 / Azure ADLS).
Modeling: Proven experience in designing Fact and Dimension tables.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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