לוח משרות דרושים איש ביג דאטה Big Data בשרון

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.

The successful candidate should have hands-on experience with big data processing technologies and architectures.

The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.

Responsibilities:
Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.+
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.

As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

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 looking for a talented and self-motivated Annotation Specialist to join our Annotation team and work closely with our Algorithms department.
This is a unique opportunity to make a real impact in a meaningful, safety-critical industry.
Responsibilities:
Be responsible for the ground truth annotation and tagging and channel accurate visual data to the deep learning pipeline.
Work with various imagery sensors such as RGB, Thermal and visual geographical data.
Work closely with internal teams to understand their requirements for annotated data.
Suggest methods for improving work efficiency.

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are seeking a hands-on Data Engineering Team Leader to oversee our real-time data domain and lead the evolution of our data platform as it transitions from a heavy build-out to stability, quality, and scale.

This role is responsible for maintaining, hardening, and extending our event processing infrastructure, focusing on adding targeted real-time processing capabilities to support analytics and informed decision-making, our decisions are deeply data-driven. This critical role is centered on maintaining, hardening, and extending our event processing infrastructure, with a primary focus on adding targeted real-time processing capabilities. Your work will directly support our analytics and enable informed, data-driven business decision-making based on production data. Specifically, you will be responsible for the core data component of capturing the clickstream events from the website, which is the foundational functionality for all our analytics.

Looking forward, this role will help lead the team into its next phase: improving data quality and developer experience, investing in modern table formats (Iceberg), empowering analysts and data scientists, and continuously reducing cost and operational friction.

This is a player-coach role, combining hands-on technical leadership with ownership, prioritization, and mentorship.

What You'll Do
Own the end-to-end real-time and event data domain, including ingestion, processing, and downstream consumption.

Ensure stability, correctness, and observability of existing streaming and near-real-time pipelines.
Lead the design and implementation of select real-time processing components to support analytics and decision-making use cases.
Define clear ownership, SLAs, and best practices for event data usage across the company.
Lead the teams investment in modern data infrastructure
Drive architectural decisions with a long-term view on maintainability, cost, and scalability.
Team Leadership & Execution

Lead, mentor, and support a team of data engineers; set technical standards and review designs and code.
Act as a hands-on contributor in critical areas of the system.
Own planning and prioritization, balancing new investments with platform stability and technical debt.
Promote a culture of quality, documentation, and operational excellence.
Partner with Data Analytics and Data Science teams to improve data accessibility, trust, and self-service capabilities.
Improve observability across the data platform (data quality, freshness, lineage, failures).
Explore and adopt AI-assisted development tools to improve engineering velocity and code quality.
Stay current with emerging technologies in data engineering and analytics, and evaluate their relevance to the platform.