We are looking for a highly skilled Data Engineer . to build and maintain robust, scalable data pipelines and data marts acting as the connective tissue for intelligence insights generation that serves executive stakeholders , internal our company customers and 3rd party
The Fintech AI & Data group is looking for a staff Data Engineer to work closely with analysts, data scientists, and software developers and strengthen Fintech by building data capabilities and AI transformation.
Responsibilities
Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software.
Design, build, and maintain scalable, reliable batch and real time data pipelines, data marts and warehouse supporting executive dashboards, operational analytics, and internal customer use cases
Ensure high data quality, observability, reliability, and governance across all data assets
Optimize data models for performance, cost-efficiency, and scalability
Develop data-centric software using leading-edge big data technologies.
Build data capabilities that enable automated agentic insights and decision intelligence
Develop reusable data services and APIs that power AI-driven workflows
Evolve our data architecture into an AI-native data layer designed to power LLMs, AI agents, and intelligent applications
Collaborate with analytics, product, and AI teams to translate business needs into scalable data solutions
Influence the software architecture and working procedures for building data and analytics
Work bBe the go-to person for anything and everything regarding understanding the data - exploration, pipelines, analytics, etc. and work both independently and as part of a team
How youll succeed
Have an impact on satisfying customers and reducing financial fraud
Help build the team by hiring the best talent
Contribute toexperiments and research on how to enhance our capabilities
Learn new technologies and methodologies
Collaborate with other data engineers, analysts, data scientists and developers
Be proactive with a self-starter attitude
Be a good listener, while also having strong opinions on what is right
Be fun to be around.

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

We are looking for a Mid-level Data Engineer to join our growing Data/MLOps team. The team is focused on building a Data/MLOps infrastructure to support the development of ML and AI algorithms for our next generation iTero scanners.
The position is suited for engineers who like to work with data, build data infrastructure and wish to support algorithm engineers.
The position is based at our Petah Tikva or Caesarea site.
Key Responsibilities
Own significant components in a data infrastructure for AI/Algorithm development.
Work with large image/3D datasets to support the development of real-life ML/AI solutions.
Work with ML / AI engineers to identify future challenges and solutions.
Own the quality of data ingestion pipelines over time.
Consistently demonstrate innovative thinking, strong partnership and high work ethics.

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.

As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.

Job Responsibilities:

Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

We are looking for a senior software engineer to join our elite team which is building one of our strategic products.
In this role, you will take part in building a new innovative product, and have a huge influence on its design, flows, and technology.
In this role, you must demonstrate high professional skills, fast technology adoption, and the ability to work on AWS.
Responsibilities:
Practice all software development life cycle in an agile oriented environment.
Explore new technologies and tools to keep us using cutting edge solutions.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with the product team to align on design and functionality.

Responsibilities
Take full end-to-end ownership of features - from product thinking and design through development, testing, deployment, and post-production monitoring.
Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
Own the full DevOps lifecycle - CI/CD pipelines, containerization, release management, and production observability.
Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
Utilize version control systems, particularly Git, for code management and collaboration.
Stay current with emerging technologies, AI tooling, and modern engineering trend.

We are seeking an experienced Software Engineer Team Leader for our companys core R&D department.
At our company, teams are cross-functional and have full ownership of their domain. We aim for continuous delivery, a smooth developer experience, top-tier code, high-quality processes, and an excellent, outcome-driven engineering culture. Looking for a Team Lead to own the technical roadmap and execution of our Finance Domain.
You will lead a high-performing distributed team in a fast-paced e-commerce environment.
You are the bridge between complex financial logic, product aspirations, and engineering excellence.
Responsibilities:
Drive Execution: Lead a distributed team of 6-10 engineers (distributed team) to deliver high-quality, scalable financial services.
Strategic Collaboration: Work daily with Product Managers to translate business requirements into technical specs, and with other Team Leads to ensure cross-domain architectural alignment.
Mentorship & Culture: Build a culture of accountability and high performance. Conduct deep code reviews and drive the adoption of best practices in distributed systems.
Take full ownership of processes and features, including architectural design, software design, implementation, Testing and observability.
Develop and implement software development best practices.
Conduct code reviews to ensure we deliver high-quality, maintainable code
Mentor Junior and Mid-level engineers and play a significant role in their growth.
Help to adopt the DevOps culture, own your code approach, and improve observability.