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We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing data team. In this role, you will create scalable and reliable BI solutions, supporting our analysts, product, and operations teams with validated and actionable insights.
You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.
Core Responsibilities:
Dashboard & Reporting Development  Design, implement, and iterate KPI‑oriented Tableau dashboards, workbooks, and scheduled extracts that expose product, growth, and engagement signals.
Data Quality & Governance  Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
ETL / ELT Engineering  Partner with Data Engineering to architect, orchestrate, and tune batch and streaming pipelines. Hands‑on experience with Amazon Redshift and the Azkaban scheduler is a significant advantage.
Semantic‑Layer Stewardship  Own dimensional data models (star schemas), dbt models, and calculated fields to provide a single source of truth with predictable query performance.
Automation & Performance Optimisation  Eliminate manual data handling, reduce query latency, and lower compute spend through efficient SQL, materialised views, incremental loads, and caching strategies.
Stakeholder Enablement  Translate analytical requirements from Product, Marketing, Operations, and Executive teams into scalable, self‑service solutions; author documentation and deliver enablement sessions on metric definitions and Tableau best‑practices.

We are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.

The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka.
Build and maintain data pipelines that are efficient, reliable and scalable.
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements.
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data.
Troubleshoot and resolve data pipeline issues in a timely manner.

Required Senior Data Engineer
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management, using tools like DBT.
Develop Data pipelines to ingest and transform data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses. This will also include catalogs of data.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

We are seeking a highly experienced VP Data to lead the companys data development efforts in building its core technology.
As the VP Data, you will be at the forefront of our innovative efforts, reporting directly to the CTO. The role requires strong technical understanding and strategic thinking. This will include hiring and managing a team of data analysts, data engineers, data scientists .
If you are a highly motivated, organized, independent, self-starter who enjoys working in a dynamic, fast-paced environment, where you want to be!
RESPONSIBILITIES:
Establish and maintain data governance frameworks and best practices to ensure data quality, accuracy, and reliability across all systems
Guide the implementation of data science and ML projects from ideation to production
Direct the evolution of BI visualization platforms (Tableau, Looker Studio)
Develop and articulate a clear data vision and strategy that aligns with overall business objectives.
Foster a culture of collaboration, and continuous improvement within the data team.
Provide guidance and support to team members to help them achieve their professional goals and deliver exceptional results.
Collaborate closely with engineering, growth, finance, and other cross-functional teams to ensure successful data deliveries and vision alignment.
Communicate data vision, strategy, and progress to key stakeholders, including the executive team, board members, and external partners.

We're looking for an experienced Backend Developer to join our growing data platform team.
As a Backend Developer, you'll work on a massive data processing pipeline, ingesting over a billion daily events from multiple sources. You'll also create the next-generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Own projects from initial discussions to release, including data exploration, architecture design, benchmarking new technologies, and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data-related issues.
Develop unit, integration, end-to-end (e2e), and load tests.

Required Senior Data Engineer
About the Role:
Our Senior Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.
In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role for our Tel Aviv office is a hybrid role working at least two days per week in the office.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
The ideal candidate will be:
A technology enthusiast who loves data and get shiver excitement from tech innovations
Desire to know how things work and a greater desire to improve them
Intellectual curiosity to find unusual ways to solve problems
Comfortable taking on challenges and learning new technologies
Comfortable working in a fast-paced dynamic environment.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group.
Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in MLOps, machine learning and AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

we are looking for a hands-on Data Engineer Team Lead with a strong technical background in data infrastructure to join our Data Engineering & Data Science Group.
The Data Engineering & Data Science Group is a rapidly expanding team of skilled engineers. By joining them, youll have the opportunity to make a meaningful impact in shaping our data platform and contributing to the groups strategic roadmap.
In this role, youll be responsible for the professional and personal development of your team. Youll lead the technological strategy, build the tech agenda, work closely with the product, data-analysts and data-scientists, and drive your team to be accountable owners of their work as they meet company business goals.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Build, lead, coach, and mentor the data engineering team
Dedicate 70% of your work to hands-on development
Manage the agile delivery life-cycle and the teams CI/CD pipelines
Ensure coding standards and implementation of best practices by conducting design and code reviews
Lead an innovative roadmap considering cutting edge technologies and open source frameworks
Collaborate with engineers, data architects, data analysts, and data scientists to develop solutions using a use case-driven approach, guiding the design and implementation of technical data flows
Build and expand our data infrastructure, including our data lake, analytics engine, orchestration tools and batch processing frameworks
Enhance and scale our ML platform, and automate the machine learning lifecycle.

we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.
As a Senior Data Scientist at our company, youll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. Youll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.
Your work will directly enhance the safety and quality of advanced automotive systems and cybersecurity solutions. At our company, we prioritize talent development, offering you opportunities to learn, innovate, and grow in a collaborative environment.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
Search and craft indicative features that will enhance the value of ML models
Explore, design and deploy cutting-edge ML models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with our data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.

Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.

We are seeking a highly experienced and innovative analyst who can bring advanced analytical techniques to our team. Your expertise with large datasets and deep understanding of field operations dynamics will drive impactful insights for our growing operations. In this role, you will play a crucial role in ensuring efficiency to the core operations of our organization.

As couriers have complete freedom to choose when to go online and which tasks to approve, their behavior affects our overall levels of service and metrics. Optimizing and molding their behavior via analytical insights is an everyday, game-changing mission. For this mission, amongst other things, you will be developing and optimizing payment models, researching challenges and opportunities in our day-to-day operations, raising flags and providing analytical insights to other operations teams.

What youll be doing
Monitor and analyze core operational KPIs (courier income, task acceptance rate, delivery times, efficiency, etc.)
Conduct data analysis to derive meaningful insights and trends that go beyond surface-level observations
Implement strategies to enhance efficiency and reduce costs.
Develop processes & tools to balance between KPIs and find optimization opportunities.
Design, build, and monitor courier payment models that are fair and lucrative for couriers while aligning with business goals.
Support our geographic expansion over the country as well as our expansion into new product lines and business projects.
Collaborate with other teams locally and globally - such as product, global operations, and analytics.