דרושים » דאטה » Senior Data Engineer

Required Senior Data Engineer
Job Summary:
A fast-growing cybersecurity startup redefining how organizations protect themselves. Our Data Team is at the heart of that mission - powering everything from security insights to customer-facing intelligence.
As a Senior Data Engineer, you'll help build our next-generation data platform from the ground up. We're expanding fast in scope, infrastructure, and tools, and our work is critical to our success every single day. You'll design scalable systems, develop in-house tools, and transform massive amounts of data into meaningful impact.
Responsibilities:
Architect and build scalable, production-grade data pipelines and infrastructure to support analytics and product features.
Develop and own key components of our new data platform, ensuring reliability, performance, and scalability.
Collaborate closely with security researchers, data analysts, and product teams to transform innovative cybersecurity ideas into production-ready data solutions.
Design and implement internal software and tooling to support data team workflows - driving structure, maintainability, and engineering best practices.
Champion best practices in data quality, governance, and observability, ensuring our data systems remain robust and trustworthy at scale.

We are looking for an experienced, proactive, and technically skilled Senior BI Engineer to take ownership of data products and business knowledge across our multi-brand ecosystem. You will be instrumental in designing the data architecture that drives global innovation and growth across the entire company.
What You Will Own and Deliver:
As a Senior BI Engineer, you will operate as a strategic partner, deeply leveraging our value of being obsessed with Data.
Domain Data Ownership: Become the go-to expert for high-impact domains like B2C Marketing and Supply, deeply understanding their metrics, business logic, and data needs to build comprehensive, accurate, and consolidated data models across all Travelier brands.
Strategic Architecture & Modeling: Design DWH to be AI-first, accessible by agents. Design, develop, and maintain advanced, scalable data models and ETL pipelines within our Google Cloud Platform (GCP) environment, focusing on performance, reliability, and cost optimization for petabyte-scale data. Modern Data Stack Implementation: Drive the adoption and best practices of our modern data stack, specifically leveraging DBT for data transformation, testing, and documentation, and Airflow for robust pipeline orchestration.
Executive-Level Product Development: Partner directly with executive management and business leaders across different global brands to translate complex, high-impact business questions into insightful, interactive BI products (semantic layers, self-service data models).
Technical Leadership & Mentorship: Act as a technical leader, mentoring junior team members on data modeling, SQL optimization, and data governance.
Data Governance & Quality: Enforce data governance standards, ensuring data quality, accuracy, and reliability across all owned domains in a consolidated environment.

Were looking for a Data Engineer to join our core Data group at headquarters. In this role, youll design and build central data platform infrastructure, driving the companys data strategy forward.
Youll collaborate closely with data professionals and R&D teams, taking ownership of key systems and having a direct impact on the success of our data ecosystem.
What Youll Do:
Be a member of the team responsible for the design and creation of the organizations data platform and data pipelines.
Lead GenAI developments in data related areas
In charge of development and maintenance of data infrastructure hosting data processes consolidating varied data types from multiple origins
Development of cloud infrastructure for data engineering and BI use
Build core MLOps infrastructure and processes for ML and AI models

Were looking for a Senior Data Engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ML inference systems.
What will your job look like:
Architect and own end-to-end data pipelines for large-scale model inference
Design high-throughput, scalable data streaming to the cloud
Integrate data conversion into data collection and inference pipelines
Drive performance, scalability, and reliability across distributed systems
Partner with ML, platform, and infrastructure teams

We are looking for a highly motivated and experienced Go/C++ Engineer to join this team and take ownership of critical components of our endpoint security platform. This is an opportunity to have maximum technical impact while working alongside some of the most experienced engineers in the field.
What youll do:
Take end-to-end ownership of projects, from requirements through production deployment and support.
Evaluate technologies, run PoCs, and drive evolution of the tech stack.
Collaborate across R&D teams to ensure integration and alignment.
Own and maintain services in multiple production environments.
Apply best practices for design, code quality, and testing.
Mentor, guide, and support team members in solving complex software challenges.
Understand product vision, short- and long-term goals, and backlog to ensure smooth execution.
Identify dependencies and coordinate with external teams and stakeholders.
Promote a collaborative environment that encourages creativity, ownership, and innovation.