לוח משרות דרושים הייטק דאטה בתל אביב יפו

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.

Required fData Scientist Team Manager
A day-to-day role as a Team Manager includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are seeking a Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:
Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

Please note that this role is on a hybrid model of 4 days/week in our Tel-Aviv office.

Required Chief Scientist
Description:
A rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage.
Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
The Chief Scientist is the companys top expert on physics, fiber sensing, and scientific innovation. This role shapes our core technologyfrom hardware and sensing architecture to research leadership and IP strategy. It combines deep technical expertise in DAS with hands-on leadership across science, engineering, and innovation.
The Physics Team Leader will report to the VP R&D.
What Youll Do:
Own and lead the development of our next-generation fiber-sensing systems, driving innovation from concept through production.
Manage and grow a multidisciplinary team of physicists, providing technical mentorship and day-to-day leadership.
Oversee cross-functional hardware development, including: optical system design and
integration, electrical board design, thermal design of enclosures and components.
Serve as our subject matter expert in fiber sensing in general and DAS in particular and in geophysics and seismology.
Lead scientific research and collaboration, including academic partnerships and publications in those fields.
Lead our IP and patent strategy and build its IP Portfolio, including drafting and managing patent applications.
Lead system-level architecture decisions, integrating optical, mechanical, electrical, and computational elements to deliver reliable, high-performance systems.
Collaborate closely with algorithm, software, and field engineering teams to ensure smooth integration and deployment of hardware in real-world environments.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on our Business Analytics & Business Intelligence Group in Tel Aviv Office, youll play a vital role on all aspects of the data, from ETL processes to optimizing our Business data models and infrastructure.
How youll make an impact:
As a Data Engineer, youll bring value by:
Have end to end ownership: Design, develop, deploy, measure and maintain our Business data infrastructure, ensuring high availability, high scalability and efficient resource utilization.
Lead the BI Engineering domain, including mentoring BI Engineers, establishing best practices, and driving BI engineering strategy.
Automate data workflows to streamline processes, reducing manual efforts and improving accuracy of our BI infrastructure..
Collaborate with other departments (e.g., IT/Data, R&D, Product, IS) to ensure seamless integration of BI tools with other systems and data models.
Work closely with the BI Development team to develop, maintain, and automate operational and executive-level reports and dashboards that offer actionable insights.
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our data pipelines.
Excellent communication and collaboration skills to work across teams.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary company is the place for you.
How Youll Make An Impact, As a Data Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Infra Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary company is the place for you.
How Youll Make An Impact, As a Data Infra Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

Realize your potential by joining the leading performance-driven advertising company!
As a Data Performance Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary our company is the place for you.
How Youll Make An Impact, As a Data Performance Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the company production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence. How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent, logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with a business orientation.
It involves working closely with the analysts, product, and the R&D team and directly affecting the company's cross-department decisions.
Our Data Engineer should be able to design and build a data flow from the API or source requirements with the most suitable tools to fit the data product requirements.
They need to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges, independent learning, and creating them to make our team even better.
Roles and Responsibilities:
Designing and building full data pipelines: From defining source structures to delivering clean, organized data ready for analysis, your work ensures analysts have everything they need to make smart, data-driven decisions
Translating business needs into scalable data solutions involves staying close to the roadmap, understanding technical nuances, and delivering purpose-built pipelines and tools
Writing high-quality, maintainable code: Following best practices while leveraging modern data engineering tooling and CI/CD principles
Solving complex data challenges creatively: Whether it's device identity (Device Graph), online-to-offline matching, privacy compliance, or server-to-server integrations
Managing multi-source data environments: We bring in data from over 50 sources (Marketing, Product, CS, CRM, Ops, and more), and you will assist in tying it all together into a reliable, insight-ready system
Keeping quality and reliability top of mind: Monitor, validate, and improve data quality while ensuring robust processes across the stack

Realize your potential by joining the leading performance-driven advertising company!
We are looking for a Senior Data Analyst to join our companys Professional Services group. As a data-driven organization, we strive for absolute transparency around our deliverables, empowering relevant teams to make informed decisions and become more productive and efficient.
How youll make an impact:
Analyze, discover, monitor and provide insights on major revenue impact issues to ensure our company Network performance and high quality.
Create, support and maintain development tools aiming to monitor and investigate our company performance, as well as find creative solutions for a variety of challenges, while facing our growing data requirements
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis, while using new approaches of data analytics
Analyze business data, discover root causes for data anomalies and generate actionable recommendations
Closely work with multi-disciplinary teams and stakeholders to provide insights and answer business questions.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.

As Director of Data & AI, youll own central data organization consisting of three high impact teams (Data Engineering, Data Science, ML/Computer Vision). Youll set the strategy, drive execution, and ensure our data pipelines and AI models deliver world-class, low-latency insights. Youll partner with software and hardware engineering, product, sales, and external partners to expand data and vision capabilities and maintain our leadership in roadside intelligence. Youll ensure that data and AI efforts are aligned with product goals and contribute to broader company impact, from customer value to operational efficiency.



Key Responsibilities

Lead & Mentor: Manage and grow three teams (~ 20 engineers & scientists) across multiple locations (Israel, US, Europe).
Strategic Roadmap: Define and prioritize quarterly roadmap in collaboration with Product and Executive Leadership.
Cross - Functional Alignment: Collaborate with software, hardware, and partner teams to integrate data pipelines and deploy AI models.
Stakeholder Communication: Serve as the primary voice of Data & AI - presenting roadmaps, vision, metrics, and outcomes to executives and external partners.
Drive state of the art computer vision research and productization.
Architecture & Scalability: Ensure data platforms (batch and streaming) are secure, reliable, and scalable - leveraging AWS, Kubernetes, Terraform, etc.
Data Governance & Security: Ensure high standards for data quality, privacy, and compliance practices across all pipelines and models.