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We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

Required Data Engineer
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.

We are looking for an experienced Senior Data Engineer to join our Data team.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

Were looking for a Data Engineer with a passion for analytics to join our growing data team! This role is ideal for someone who enjoys working across the entire data pipeline.
From data ingestion and transformation, all the way to creating analytics-ready datasets.
Youll get hands-on experience with modern tools, collaborate across functions, and help deliver data-driven insights that shape key decisions.
Youll be part of a supportive team, where mentorship, impact, and learning go hand in hand.
Responsibilities
What Youll Do:
Design, develop and maintain end-to-end data pipelines: extract raw data from sources such as MongoDB, MySQL, Neo4j, and Kafka; transform and load it into our Snowflake data warehouse.
Contribute to data modeling and data quality efforts to ensure reliable, analytics-ready datasets.
Collaborate with analytics, engineering, and business teams to understand data needs and translate requirements into actionable data solutions.
Enable data-driven decisions by building dashboards and reports using tools like dbt and AWS QuickSight.
Learn and grow in both the technical and business-facing sides of data.

Required Senior Data Engineer
The opportunity
Join our dynamic Data & ML Engineering team in iAds and play a pivotal role in driving data solutions that empower data science, finance, analytics, and R&D teams. As an Experienced Data Engineer, you'll work with cutting-edge technologies to design scalable pipelines, ensure data quality, and process billions of data points into actionable insights.
Success Indicators
In the short term, success means delivering reliable, high-performance data pipelines and ensuring data quality across the product. Long-term, you'll be instrumental in optimizing workflows, enabling self-serve analytics platforms, and supporting strategic decisions through impactful data solutions.
Impact
Your work will directly fuel business decisions, improve data accessibility and reliability, and contribute to the team's ability to handle massive-scale data challenges. You'll help shape the future of data engineering within a global, fast-paced environment.
Benefits and Opportunities
You'll collaborate with talented, passionate teammates, work on exciting projects with cutting-edge technologies, and have opportunities for professional growth. Competitive compensation, comprehensive benefits, and an inclusive culture make this role a chance to thrive and make a global impact.
What you'll be doing
Designing and developing scalable data pipelines and ETL processes to process massive amounts of structured and unstructured data.
Collaborating with cross-functional teams (data science, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.
Building and maintaining tools and frameworks to monitor and improve data quality across the product.
Providing tools and insights that empower product teams with real-time analytics and data-driven decision-making capabilities.
Optimizing data workflows and architectures for performance, scalability, and cost efficiency using cutting-edge technologies like Apache Spark and Flink.

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platformsupporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

Were looking for a Senior Data Product Manager to lead the strategy and design of B2B data products that empower our companys sales, marketing, finance, and customer success teams with intelligent, insight-driven tools. This role is key to transforming commercial and customer data into trusted, high-quality, and meaningful Data & AI solutions that unlock business growth, optimize the customer journey, and enable AI-powered decision-making.
You will partner with business & data professionals stakeholders to understand their data needs and design platforms & solutions that drive business value, leveraging cutting-edge Data & AI technologies. This is an opportunity to shape the future of data and AI at our company and make a lasting impact.
As a Senior Data Product Manager in our company you will
Own the strategy and roadmap for commercial-facing Data & AI products, delivering actionable insights across the customer journey to support demand generation, sales pipeline optimization, customer success, and account growth.
Translate business goals and analytical needs into clear data product and platform requirements that support our companys evolution into a truly data-driven organization.
Turn account data from across the B2B commercial funnel into intuitive tools, dashboards, and data services that help teams make smarter decisions and identify revenue opportunities.
Partner with AI and engineering teams to build GenAI applications that assist sales reps and CS managers with contextual, real-time recommendations, customer insights, and next-best-actions.
Define and drive the structure for core business entities such as accounts, products, and usersensuring consistency and clarity across all data products through strong master data foundations.
Collaborate with data governance, privacy, and legal stakeholders to ensure that data products are compliant, secure, and high-quality, while building confidence in the data across the business.

At UVeye, we are on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400 million in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Data Engineer to join our Data team. In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how you’ll make an impact:
* Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
* Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
* Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
* Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
* Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

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 and the R&D team and directly affecting the company's cross-department decisions. Our Data Engineer should be able to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges and creating them to make our team even better.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines and ETLs in light of business requirements: from the source to the analyst's hands, enabling them the ideal conditions to make smart and data-driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions- in-house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline, and more.
Deep understanding of the business needs, technical requirements, and the companys roadmap, translating it into custom-made data solutions and scalable products.
Craft code following best practices to ensure efficiency while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources- Marketing, Operations, CS, Product, CRM, and more, tying them up to a valuable and useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards, monitoring, and reliability processes.