6 дней назад
Staff Engineer Data (Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer Data (Data Engineering): Designing and implementing an end-to-end data architecture for real-time detection, qualification, and analysis of exposed secrets with an accent on distributed systems, streaming pipelines, and large-scale search-oriented data processing. Focus on redesigning production architecture for horizontal scalability, expanding coverage across public data sources, and building agentic and real-time systems capable of handling hundreds of millions of secrets.
Location: Hybrid, with 3 days per week at the office in Paris, France
Company
is a global cybersecurity scale-up that helps enterprises detect exposed secrets, prioritize remediation, and prevent credential-based breaches across code, systems, and AI.
What you will do
- Design and implement the end-to-end data architecture for the Public Intelligence team.
- Build and deploy real-time systems that qualify secrets within minutes of detection.
- Redesign the multi-service architecture for greater robustness, horizontal scalability, and maintainability.
- Extend data ingestion beyond GitHub to sources such as Docker Hub, NPM, and PyPI.
- Design monitoring, maintenance, and alerting systems for the data pipeline.
- Mentor engineers, contribute production code, and shape the technical roadmap with Engineering and Product.
Requirements
- 7+ years of experience in data engineering and operating large-scale, production-grade data pipelines.
- Strong expertise in distributed systems, streaming, event-driven systems, and real-time architectures.
- Production experience with AWS, Terraform, Docker, and Kubernetes.
- Strong experience with ClickHouse or a similar large-scale analytical database.
- Hands-on experience redesigning or refactoring production architectures and contributing directly to critical code.
- Fluent English is required for working in an international environment.
Nice to have
- Experience with large-scale search systems such as Elasticsearch or OpenSearch.
- Familiarity with agentic systems or LLM-based architectures applied to data pipelines.
- Experience in high-growth startups or scale-ups.
Culture & Benefits
- Hybrid remote policy with regular office collaboration in Paris.
- Career development opportunities over the long term.
- Benefits package including BSPCE, yearly holiday allowance, lunch vouchers, and health insurance for children.
- Up to €300 for home office equipment and a sponsored Wellpass membership.
- Monthly team-building budget and a €4,000 referral bonus.
Hiring process
- Talent Acquisition video call followed by an interview with the CTO and Engineering Manager.
- Two-hour technical interview covering Python, data architecture, communication, and reasoning.
- Final executive interview and reference checks with two professional contacts.
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