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As part of the role you will have the opportunity to:
Build end-to-end development of data infrastructure features, scalable data processing, database interaction and integration with CI/CD.
Take part in expanding our core data platform solutions, build new pipelines from scratch that ingest and process data at scale.
Work across a rich stack of technologies from Apache Kafka, Apache Storm, NoSQL, and relational databases.
Analyze and optimize performance, scalability, and stability of our product environments.
Work closely with the data-science team to implement production grade pipelines based on AI research.

As a Data Analyst at our company you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep our company a data driven company. You will play a key role in the ability of each team at our company to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

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

We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What youll do: As the Team Leader for Data Platform at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

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

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

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities:
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions

We are expanding our global data platform infrastructure team and were hiring top-tier engineering talent in Israel. This is a critical role focused on building scalable, secure, and intelligent platform capabilities that empower data engineers, analysts, ML engineers, and data scientists across the company.
Youll be part of a high-impact international team driving the foundation of our enterprise data platform designing automation, governance, and observability frameworks that power secure, compliant, and efficient data operations at scale.
Location: Raanana, Israel (Hybrid 3 days/week onsite, office is right on the train station)
What Youll Do
Design and build infrastructure for real-time, secure, and governed data operations empowering data practitioners across
Develop capabilities to support data ingestion, modeling, analytics, and MLOps using modern tooling and scalable cloud-native architecture
Implement security best practices, including automatic key rotation, RBAC, data classification, and encryption at rest/in transit
Own and automate infrastructure components using Infrastructure as Code (e.g., Terraform)
Build and maintain operations for tools like Airflow and dbt to enable seamless orchestration and transformation workflows
Collaborate across data engineering, analytics, data science, and DevOps teams to enhance platform capabilities and adoption
Support modern metadata standards and technologies like Model Context Protocol (MCP) and Apache Iceberg
Monitor and improve platform performance, reliability, and security posture.

We are looking for a highly motivated and experienced Data Analytics Team Lead to lead our Israel-based team within the Services organization. This role offers the opportunity to drive innovation and shape the future of customer-facing analytics solutions. You will oversee the development and delivery of custom data reports, ensuring that our clients receive maximum value from our location intelligence data.
RESPONSIBILITIES:
As a Team Lead, you will be responsible for managing a high-performing analytics team, developing scalable data products, and collaborating cross-functionally to deliver value to our clients. Your key responsibilities will include:
Team Leadership & Development
Lead and inspire a cohesive, high-performing team while fostering a positive, proactive culture.
Mentor and coach team members, supporting both professional development and the achievement of team goals.
Manage hiring efforts to support team growth in line with business needs.
Facilitate knowledge-sharing and collaboration across internal teams.
Project & Resource Management
Estimate project scope and effort based on deep familiarity with our data, tools, and internal processes.
Allocate work effectively based on team capacity, priorities, and constraints.
Handle escalations and interruptions while maintaining project focus and team productivity.
Define and track team KPIs, identifying areas for improvement and driving operational excellence.

Cross-functional Collaboration

Work closely with Solutions Engineering, Consulting, Customer Success, and Sales to define project scopes and manage client expectations.
Collaborate with Product and R&D teams to align on data methodologies, product roadmap, and technical best practices.
Support analytics teams across the organization in building and optimizing data pipelines.
Technical Innovation
Identify opportunities to improve processes and implement efficiencies in report development and delivery.
Drive technical initiatives to enhance the scalability, reliability, and maintainability of reporting pipelines.
Team & Tech Stack
Youll lead one of two Data Analytics teams (the other is US-based). The team works with large-scale data to construct custom metrics and support client-specific reporting needs.
The team includes data analysts, data pipeline engineers and software engineers.
Languages & Tools: Python, Spark, Airflow, Databricks, Dataproc, Hive, MongoDB, Tableau.

As a Team Lead, you will have the opportunity to significantly impact intelligence processes and contribute to counter-terrorism efforts by designing and implementing cutting-edge big data solutions on various platforms.
Responsibilities
Manage and lead a team of Big Data engineer.
Design and implement advanced infrastructure solutions using Hadoop Ecosystem.
Work closely with other departments within the organization to understand their needs and develop tailored solutions.
Analyze user requirements and recommend new tools and technologies in the field of Big Data.
Develop self-service solutions for managing and creating infrastructure under team's responsibility.
Manage large-scale projects while meeting deadlines and targets.

Join our Data Science research team, leveraging analytical capabilities into the field of cybersecurity.
Responsibilities
Develop and implement statistical models and algorithms in big data environment to analyze communication data and logs for endpoint devices, identifying network attacks and anomalies.
Extract insights and enrichment using advanced analytical tools.
Lead end-to-end data science projects, including requirements gathering, conducting proof of concept (POCs), demonstrating value, building pipelines in operational systems and monitoring project progress.
Maintenance, improvement and optimization of production models.
Collaborate with various stakeholders within the unit and identify challenges and improvements that can addressed using data science techniques.

We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in our success.>
Responsibilities:
As Data Analyst Team Leader, you will:
Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
Directly build and optimize dashboards and reports that communicate key metrics across the organization
Write and review code for data pipelines, analytical models, and visualization tools
Develop and implement data quality processes while maintaining your technical edge through active coding
Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our new data initiatives team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data, backend and DevOps engineers.
Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists.
Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.