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Required Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.
End-to-end ownership mindset with a proactive, production-first approach.

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.

Were looking for a senior‑level Data Platform Solutions Engineer who is both data‑savvy and customer‑focused. In this role youll help our customers run large‑scale data and AI workloads, tackling technical challenges across modern data environments. Youll blend deep troubleshooting expertise with tool‑building and solution design, while partnering closely with our teams and customers to ensure successful deployment and operation of our data‑platform offerings-both on‑premises and SaaS.
You will:
Assist customers with complex data‑lake and AI workloads on our data platform.
Diagnose and remediate high‑severity, multi‑layer issues spanning infrastructure, Kubernetes, data engines, storage, and networking.
Create and refine tools, automation, and solutions that boost environment stability and operational efficiency.
Deliver architectural guidance and configuration best practices to enhance performance, scalability, and resiliency.
Serve as the technical liaison among Customer Support, Product Management, and R&D, turning customer insights into product enhancements.
Take the first step towards your dream career
Job ID:R285903.

Experienced Data Engineer? Excellent team player?

Come join a great team to overcome meaningful cyber challenges!

Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.

You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.

Responsibilities:
Design, build, and maintain data pipelines and data models to support analytics and reporting needs.
Work with structured data across databases, data lakes, and data warehouses.
Write efficient and maintainable SQL and Python code for data transformation and validation.
Ensure data quality, consistency, and basic data lineage across systems.
Collaborate with Product, Engineering, and business stakeholders to understand data requirements.
Support dashboards and reporting tools by providing clean, well-modeled data.
Contribute to improving data standards, documentation, and best practices.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do
Build Client-Facing Features: Design and implement high-scale product features for premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our reference and alternative data team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data and backend engineers.
Be responsible for ingesting financial data and providing it over numerous APIs in close collaboration with algorithmic teams and other partners.
Lead the architecture, planning, design and development of mission-critical and diverse data pipelines over both public and on-prem cloud solutions.