דרושים » תוכנה » Senior data Engineer

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 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.

We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in cloud environments and will excel in developing advanced cloud-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.
Key Responsibilities:
Design and implement advanced cloud-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Flink, Spark, and Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.

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.

At our company , we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Who are you?
You are a passionate full stack software engineer with a strong orientation for both frontend and server development, who knows how to deliver high-quality software which is high-performing, scalable, readable, testable and maintainable with minimal bugs.
You value engineering excellence and write testable, clear and reusable code.
You think freely and independently and happy to share your view.
You are self-motivated and self-managed, able to take ownership of your work and work in a scrum team.
What youll do?
Drive Innovation: Design, develop, and maintain our web application using Angular, C#, and SQL.
Collaborate Cross-Functionally: Work with product managers and UX/UI teams to refine and enhance secure product requirements.
Mentor and Grow: Guide and support junior developers, fostering a culture of continuous learning and security awareness.
Stay Ahead: Keep up with the latest tech trends to drive product evolution and maintain security vigilance.
Build with Security at the Core: Ensure every line of code contributes to a secure, resilient platform.
Champion Quality: Implement automated tests to deliver a high-quality, robust product.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files. This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

We are looking for an experienced DevOps Engineer, or a Software engineer with substantial experience in Cloud development, to join our growing DevOps group.
Responsibilities
Be part of a global R&D DevOps group responsible for a diverse production environment based on Microsoft Azure, that hosts a data security SaaS platform which protects our customers from cyberattacks and insider threats.
Help maintain our complex Azure based pre-production and production environments to preserve our platform availability and reliability.
Design and development of DevOps tools, CI\CD pipelines and automation processes for configuration, deployment and maintenance of our complex pre-production and production cloud environments.
Collaborate with R&D engineering teams on the design and implementation of new features.
Work on DevOps group incidents and internal tickets, including triage, investigation of issues and requests, and analysis on how to reduce their frequency and effort.
Research, examine and implement new cloud technologies and open-source tools.

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.

we are looking for a Senior DevOps to join our DevOps team.
The perfect candidate will be a team player with a high level of professionalism and knowledge in DevOps technologies, with a leadership background.
Key Responsibilities:
Provide architectural solutions for complex infrastructure requirements involving large-scale systems and rapid growth
Define and manage the automated production process
Take ownership of technical issues and work with our development group to resolve advanced issues and bugs.