לוח משרות דרושים הייטק דאטה בתל אביב יפו

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

We are looking for a Senior Data Scientist.
As a Senior Data Scientist, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply deep learning techniques, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providersall within a dynamic, fast-paced environment.
Key Responsibilities:
Develop and optimize data pipelines and deep learning models with a focus on Natural Language Processing (NLP).
Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
Work closely with Product, Clinical team, and R&D teams to align AI innovations with company objectives.
Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply best practices for data security, integrity, and performance across all systems.

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

We are seeking an experienced and innovative Data Engineer to join our dynamic team at ! As a leading FinTech startup based in Tel Aviv, is dedicated to providing comprehensive financial & all around solutions for small businesses. The ideal candidate will possess a strong background in data engineering, data warehousing, and data modeling. This role demands a talented professional who can design, develop, and maintain our data infrastructure, empowering stakeholders across the company to make data-driven decisions. If you are a talented, humble, and ambitious individual ready to make a significant impact in a rapidly scaling company, we invite you to join us on our journey to revolutionize services for small businesses worldwide.
About the Opportunity:
As a Data Engineer at , you will play a pivotal role in establishing and enhancing data infrastructure, empowering stakeholders across the company to make informed, data-driven decisions.

What youll be doing:
Engage with potential customers via phone, email, and online communication tools to follow up on inquiries and leads.
Build and maintain relationships with prospects, understanding their needs and offering tailored solutions.
Develop and deliver sales pitches that highlight the benefits of services.
Guide customers through the sales process, from the initial conversation to closing the deal.
Assist in onboarding new customers, ensuring they have a smooth and positive experience with platform.
Maintain accurate records of interactions, sales progress, and follow-up tasks using our CRM system.
Continuously refine your product knowledge to better assist prospects and customers.

A fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a Senior data Scientist to join our team and take a leading role in shaping the future of our data science. We need your CTO -grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world. Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people. The data Science team leader at Product will report to the VP product.

Required Senior Data Scientist, Recommender Systems
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI, and especially recommender systems are at the center of our strategy and are imperative to our continuous success.
What will you be responsible for?
Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies, especially Recommender Systems challenges with high volumes of data. You'll be our Recommender Systems expert.
Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Developing data-driven recommendation systems that directly increase user engagement, revenue growth, and customer retention.
Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
Continuously self-learning, growing professionally, and mentoring younger team members.
Heres what we need from you:
On a personal level:
Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the data science team in a collaborative manner.
Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
Results-driven. You have a can-do approach, drive to exceed your goals
Business-oriented. You are interested in our business, products, and services and know how to translate business needs into ML solutions.
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.

Required Data Engineering Tech Lead
Data is everythingits at the heart of every product decision, every customer insight, and every strategic move we make. The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. This role sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of our intelligent data services.
What will you be responsible for?
Leading the design and evolution of scalable, high-quality data workflowsfrom batch pipelines to real-time data products.
Setting and upholding engineering best practices across code quality, testing, CI/CD, observability, and documentation.
Mentoring and empowering data engineers while fostering a high-performance, collaborative team culture.
Identifying and executing on opportunities to create new data features and assets that enhance product capabilities.
Driving architectural decisions around data modeling, storage, and compute in cloud environments (e.g., Databricks, Snowflake).
Collaborating with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure seamless delivery and platform excellence.
Championing a data-driven mindset throughout the organization, balancing business context with technical rigor.

We're looking for an experienced Data Engineer Team Lead to join our growing data group. In this role, youll not only design and implement high-scale, data-intensive platforms but also lead a team of talented engineers, driving the evolution of our data infrastructure. You will research and implement cutting-edge algorithmic solutions and collaborate with cross-functional teams on significant, high-impact projects that support our mission of providing accurate and actionable business intelligence.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data teams own and manage the pipelines that create our assets, with a strong focus on the company KPIs.
What will you be responsible for?
Solve Complex Business Problems with Data Integration and Engineering Solutions
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.
Collaborate with Business Stakeholders and Define Priorities
Partner with Product Managers, Data Scientists, and other key stakeholders to prioritize data initiatives that directly impact our core product offerings and user experience.
Ensure data solutions align with business goals, helping drive product features that bring value to our users and streamline B2B sales processes.

Were looking for a Data Engineer for the Insight Team to join our Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for our customers.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is everything, its at the heart of everything we do. The Data Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Insight Team monitors user behavior across our products, leveraging millions of signals and time-series entities to power a personalized recommendation and ranking system. This enables users to access more unique and tailored data, optimizing their experience while maintaining a strong focus on the key KPIs that drive the success of our Data Group.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

Were looking for a Data Engineer to design and implement high-scale, data-intensive platforms, research and develop algorithmic solutions, and collaborate on key company initiatives. You will play a critical role within our core data teams, which are responsible for managing and optimizing our fundamental data assets.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building and maintaining the core products that power our business. The data teams own and manage the pipelines that generate our assets, with a strong focus on optimizing key company KPIs.
We leverage cutting-edge technologies to build and scale our data infrastructure. In this role, you will work closely with Data Scientists and Data Analysts on a daily basis, collaborating to develop innovative data solutions that drive business impact.
What will you be responsible for?
Solve Complex Business Problems with Scalable Data Solutions
Develop and implement robust, high-scale data pipelines to power our core assets.
Leverage cutting-edge technologies to tackle complex data challenges and enhance business operations.
Collaborate with Business Stakeholders to Drive Impact
Work closely with Product, Data Science, and Analytics teams to define priorities and develop solutions that directly enhance our core products and user experience.
Build and Maintain a Scalable Data Infrastructure
Design and implement scalable, high-performance data infrastructure to support machine learning, analytics, and real-time data processing.
Continuously monitor and optimize data pipelines to ensure reliability, accuracy, and efficiency.

a Senior Data Engineer to join its Research Engineering team. The Research Engineering teams mission is to enable research needs. We succeed when our research analysts, data scientists, and engineers have access to the data, tools, knowledge, and support to do their jobs painlessly and efficiently.

We build the foundational infrastructure and key applications that allow internal users to derive actionable insights from vast data. Both enablingand runningBig Data processing at the scale of hundreds of TB is a core part of what our team does, but were not just a Big Data team. We work across the tech stack in support of our mission to enable data-driven research and investigation, from back-end to front-end to data stores.

What you'll be doing:

Design, build, and maintain foundational infrastructure and key applications that allow people to effectively leverage proprietary and public data
Use modern technologies daily, such as: Snowflake, Databricks, Apache Spark, Elasticsearch, AWS, Kafka, and more
Expand and optimize data warehouse and lakehouseweighing tradeoffs between performance, cost, and user experienceacross continually larger and more complex datasets
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access
Enhance analysts most-used web application, which gives them in-depth insight into every decision we make
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!)
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack

As the Data Stores team, we are responsible for implementing and delivering database solutions that handle and store petabytes of data. Our focus is on scalability, low latency, high throughput, and geo-distributed database systems, ingesting terabytes of data every day. We provide seamless, reliable, and scalable database solutions, which are key components for Machine Learning Models that deliver highly accurate, real-time risk decisions to protect our customers from fraud. Continually adapting to the evolving landscape and trends in databases, we implement new database offerings to ensure innovative solutions stay ahead in the market.

What you'll be doing:
Design, implement, and maintain scalable, reliable, and efficient database solutions.
Lead and mentor engineers to ensure the seamless operation of our database systems.
Investigate and implement performance and cost optimizations for our database solutions.
Create or introduce tooling and processes to support the operational aspects required for maintaining large database solutions.
Contribute to the continual improvement of our database infrastructure.
Stay updated with the latest trends and technologies for databases, and implement new database offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our database systems.

This is a role with significant technical aspects, but prior coding knowledge is not required - we believe the right candidates can learn everything they need to do this job well as part of our training process, and while doing the job.

You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.

What you'll be doing:
Invent, design, implement, and refine our systems decisioning logic in production.
Conduct in-depth research into complex fraud patterns and emerging threats.
Leverage extensive datasets to derive actionable insights and enhance decisioning accuracy.
Develop and automate analytical processes to improve efficiency and scale our capabilities.
Collaborate with Data Science, Engineering, and other cross-functional teams to drive platform improvements.

We are looking for a talented Senior Data Engineer to join us.
As a Data Engineer, you will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data platforms and data models and providing business intelligence. You will work in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders to deliver the best solutions to support the business and provide operational excellence.
If you are passionate about data, a team player, and proactive, we want to hear from you.
Responsibilities:
Design, Develop & Deploy Data Pipelines and Data Models on various Data Lake / DWH layers
Ingest data from and export data to multiple third-party systems and platforms (e.g., Salesforce, Braze, SurveyMonkey).
Architect and implement data-related microservices and products
Ensure the implementation of best practices in data management, including data lineage, observability, and data contracts.
Maintain, support, and refactor legacy models and layers within the DWH