לוח משרות דרושים הייטק דאטה משרה מלאה

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

Were looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv.
In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.

We are on the search for a Senior Marketing Data Analyst who will join our Data team in Tel Aviv. As a Senior Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams within the marketing & Top of funnel landscape, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Create and improve new and existing business processes, data pipelines, and workflows
Analyze, process and present different parts of the customer journey flows
Master of our data infrastructure, serving as the primary troubleshooter for data queries from critical business partners.
Perform ad hoc analysis with precision, delivering results that drive strategic decisions.
Brainstorm and execute AB testing ideas, furthering our understanding of user behaviors and market trends.
Utilize advanced statistical methodologies to conduct in-depth analyses and tests.
Play a pivotal role in the Data Guild, contributing your unique insights and expertise.
Engage with various stakeholders, fostering a productive environment of data-driven decisions.
Be a key collaborator with diverse marketing teams, including Paid Marketing, Social Media, Content, Lifecycle, Partnerships and more.
Transmute raw data into actionable insights that fuel decision-making processes.
Deliver persuasive presentations to stakeholders, translating data-driven suggestions into reality.
Act as the primary data authority for each initiative you engage in, ensuring data accuracy and relevancy.
Drive cross-functional initiatives, uniting data and business objectives to promote organizational success.

Required Staff Algo Data Engineer
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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Data Scientist
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
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Senior Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior 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 Senior 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.

Required Senior BI Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior BI 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 Senior BI 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.

Required Senior Algo Data Engineer
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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We are looking for an experienced and talented Head of Data to join our leadership team in Israel. This is a strategic senior role, reporting directly to the local CEO, with full ownership of the Data pillar. Youll lead a multidisciplinary team of Analysts, Data Engineers, and Data Scientists, managing high-impact, cross-functional projects that support key business goals.
Beyond team leadership, you'll shape how data is used across the organization from building the right infrastructure and tools to unlocking insights that drive decisions. Working closely with senior stakeholders, youll turn complex business needs into practical data solutions, influence product direction, and stay hands-on with real technical challenges. Youll work directly with cutting-edge technologies like BigQuery, Python, machine learning (ML), web scraping, and large language models (LLMs) to drive innovation and enable data-driven decision-making across the company. This is a rare opportunity to combine strategic impact with daily technical depth in a dynamic, fast-moving environment.
Key Responsibilities:
Lead and manage the Data pillar in Israel, including a multidisciplinary team of Analysts, Data Engineers, and Data Scientists.
Be hands-on in solving complex data challenges and contributing directly to core data initiatives.
Oversee end-to-end delivery of cross-organizational data projects.
Collaborate closely with various departments including Marketing, Finance, Sales, and senior management.
Partner with global data teams across the organization.
Own the local data infrastructure, data quality, and analytical and operational processes.
Champion a data-driven mindset and foster collaboration around data.

Required Senior Data Engineer
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Job Summary:
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. at our company, you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders.

Required Data Operations & Annotations Manager
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Role Overview:
As a Data Operations & Annotations Manager, you will be responsible for building and managing a small foundation data operations and annotation team, establishing processes dealing with a diverse set of data sources (e.g. images, text, floorplans, etc.), overseeing the data pipeline, annotation pipeline, and ensuring high-quality labeled data for AI/ML models. You will work closely with data scientists, engineers, and product managers as part of the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.
This is a hands-on role at the intersection of research, data science, and operations ideal for someone who thrives in fast-paced, cross-functional environments.
Key Responsibilities:
Own and optimize the end-to-end data flow across internal systems and platforms.
Build, manage, and mentor a team working across diverse data types: images, text, floorplans, and more.
Define, refine, and enforce annotation guidelines and quality standards.
Monitor data quality metrics, accuracy, consistency, and edge case handling.
Act as a player-coach: participate directly in annotation tasks while overseeing daily operations.
Identify and recommend tools and technologies to optimize workflows.
Collaborate with ML engineers and data scientists to optimize processes.
Identify and implement tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

Required Senior Data Engineer
What You'll Do:
Shape the Future of Data- Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

A global leader in performance marketing, is looking for a talented Data Operations Manager to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
The job consists of processing sales data from our business partners to our internal systems, validating and creating accurate analytics and financial reports.
Being a part of the monthly billing cycle.
Be a critical focal point to internal key users, product managers, bizdev, campaign managers, etc.
Own the data development process end-to-end including business understanding, methodology, QA, and integration maintenance.
Working with various systems such as Salesforce, Tableau, Jira, Monday, Slack and other internal systems.

Did you know that over 50% of connected devices in hospitals pose critical risks, threatening patient safety? At our company, were not just transforming healthcare cybersecuritywe save lives. Our mission is to empower hospitals and clinics across the U.S. and Europe with cutting-edge solutions that mitigate over 90% of critical device risks. By securing these vital systems, we help ensure patient safety and operational stability, so healthcare providers can focus on what they do best: save lives.

Why join our company?

Create a Meaningful Impact: Join a company at the intersection of cybersecurity and healthcare, delivering a product that safeguards medical/IoT/IT systems and improves patient safety.
Join us and be part of one of Duns Top 5 Best Startups to Work For in Israelan honor weve earned for the third year in a row!
Tackle Exciting Challenges: Work with large-scale data and help shape a platform used by an expanding customer base.
Embrace Cutting-Edge Technology: Were always open to innovation, regularly adopting new technologies suggested by our developers.
Grow with Us: Be part of a growing company with opportunities to advance your career while working on exciting new tools and products.
Hybrid Work Model: Enjoy flexibility with a hybrid work setup (Twice a week from the office)
Prime Location: Were conveniently located by the Bursa in Ramat Gan, right on the train line for easy commuting.

How Youll Contribute:

Build a large-scale data-oriented product for healthcare customers
Design and scale data pipelines handling 300,000 requests/second
Use state of the art tools like Clickhouse and Quickwit to build security products like our NDR and PRM products
Take full ownership of features from concept through design, development, and production.
Work with cross-functional teams in a rapidly growing, innovation-driven environment

we are a pioneering startup transforming the world of retail through next-generation IoT. Our platform bridges the physical and digital realms by leveraging battery-less BLE tags that stream real-time data to a powerful cloud platform via in-store wireless networks. This continuous data flow enables retailers to unlock unprecedented insights, optimize operations, and elevate the customer experience like never before.

Were on a mission to make every item in the store "talk" and we're just getting started.

We are looking for a hands-on and strategic Team Leader to head our Data Science & Machine Learning team. This is a high-impact leadership role where youll guide a growing team of Data Scientists and ML Engineers tackling some of the most complex and unique challenges in retail analytics from recommendation engines and time series forecasting to signal processing, clustering, and beyond.

You'll be responsible for shaping the teams roadmap, championing innovation, and translating business challenges into scalable, production-grade ML solutions, powered by our company rich and continuous IoT data streams.

Responsibilities
Lead & Inspire: Manage and mentor a talented team of Data Scientists and ML Engineers, fostering a culture of collaboration, ownership, and technical excellence.
Drive ML Strategy: Define and own the teams roadmap, aligning it with company goals and product direction.
Deliver Impact: Guide the team through the full ML lifecycle from business understanding and data exploration to model development, validation, deployment, and monitoring.
Establish Best Practices: Implement and advocate for high standards in experimentation, model management, reproducibility, and delivery.
Cross-Functional Collaboration: Partner with Data Engineering, Product, and Business stakeholders to define priorities, understand requirements, and deliver actionable, measurable outcomes.
Research & Innovate: Stay on top of the latest advancements in ML and apply state-of-the-art techniques to drive product innovation and value.
Translate Complexity: Communicate sophisticated ML concepts clearly to a wide range of audiences from executives to engineers to customers.