לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER בהרצליה

Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.

If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship.

What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines.
Create and evolve knowledge graphs, schemas, and lineage tracking systems.
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering.
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.

As a Senior data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL /ELT processes, working closely with architects and development teams. Your duties and responsibilities include:
* Lead the design and implementation of scalable data architecture solutions.
* Develop, construct, TEST, and maintain data architectures (e.g., databases, large-scale processing systems).
* Identify ways to improve data reliability, efficiency, and quality.
* Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
* Optimize complex SQL queries and perform performance tuning.
* Participate in Scrum and Agile development processes.
* Implement and manage relational and non-relational databases.

looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

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.

Are you a passionate Senior Data Engineer ready to make a global impact? Join our elite AI and data science team driving our company's Defender's groundbreaking autonomous protection system: Automatic Attack Disruption.
As cyber threats grow more sophisticated, our company's Defender safeguards enterprises by detecting, investigating, and automatically disrupting advanced attacks and data breaches. Our team builds the AI models behind this mission, alongside the data analytics systems that drive data-informed decisions and operational excellence at scale.
If you are an excellent engineer with a background in big data and a passion for engineering for AI and data science, we would like to talk to you!
Our team values diversity and strives to hire individuals with varied experiences and perspectives. We understand that no candidate possesses every desired skill and experience, but together, we form a strong, effective team.
our companys mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Create and maintain robust big data pipelines for AI systems and data analytics solutions.
Implement and maintain sophisticated business logic solutions generating data for AI training.
Optimize performance of big data jobs and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as analytics and feature extraction.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our new data initiatives team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data, backend and DevOps engineers.
Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists.
Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.