Senior Data Engineer

Our platform brings together two products: Atlas, which continuously maps an organisation's external attack surface and validates which exposures are genuinely exploitable, and Nova, which uses AI agents to perform in-depth penetration testing on demand. Together, they give security teams the visibility and proof they need to focus on what really matters and stay ahead of emerging threats.

Backed by $65M in total funding, including our recent $40M Series B led by Forgepoint Capital International and SmartFin, we're investing in the next generation of autonomous offensive security and expanding our impact across global markets. With a team spanning 25+ countries and offices in Amsterdam, London, and New York, we're helping organisations rethink what's possible in cybersecurity.

Join us and help shape the future of offensive security.

Your Role:

As a Senior Data Engineer at Hadrian, you will own and evolve the data infrastructure that powers critical business intelligence, operational decision-making, and next-generation AI initiatives across the company.

This role is ideal for an experienced Data Engineer who enjoys combining hands-on technical depth with end-to-end ownership. You'll become the primary owner of our data platform, ensuring that data flows reliably across the organisation while helping shape the future architecture of our data ecosystem.

You will work closely with Engineering, AI, and Hacking teams to build and maintain scalable data pipelines, support AI and MLOps initiatives, and drive architectural improvements such as our Semantic Layer and streaming Lakehouse capabilities.

If you thrive in environments where autonomy is high, impact is immediate, and technical decisions directly influence the future of the business, we would love to hear from you.

What you will do as a Senior Data Engineer at Hadrian:

* Own and operate Hadrian's end-to-end data platform, ensuring reliability, scalability, and performance across the entire data stack.

* Lead strategic data architecture initiatives and help shape the future of Hadrian's AI and MLOps data foundation.

* Maintain, troubleshoot, and optimize data integrations, connectors, and pipelines built on Airbyte, dbt, and BigQuery.

* Build and evolve data models, transformations, and semantic layers that power analytics, business operations, and AI initiatives.

* Drive operational excellence by improving platform reliability, monitoring, and incident response processes.

* Partner with stakeholders across Engineering, AI, Security, and Business teams to deliver trusted and actionable data products.

* Evaluate and implement modern data platform capabilities, including orchestration, streaming architectures, and Lakehouse technologies.

* Build tooling and automation that improves developer and analyst productivity.

You are fit for this job because you:

* Have 5+ years of professional Data Engineering experience, ideally in a fast-paced startup or scale-up environment.

* Have deep hands-on experience with Airbyte and understand data replication, connector management, and troubleshooting at scale.

* Are highly proficient with dbt, SQL, and Python, and have extensive experience building and maintaining transformation pipelines.

* Have experience working with GCP and AWS environments, including managing data storage (S3 / Cloud Storage) and identity management (IAM).

* Can operate independently and take full ownership of a business-critical data platform without requiring significant day-to-day guidance.

* Apply strong software engineering principles and best practices to data infrastructure.

* Balance operational excellence with long-term architectural thinking.

* Use AI pragmatically to accelerate workflows while maintaining high standards of quality and reliability.

* Communicate effectively with both technical and non-technical stakeholders.

* Share our values and work in accordance with them.

Bonus points if you have:

* Experience with Kafka, Strimzi, Redis, or other streaming, caching, and in-memory data platforms.

* Experience utilizing Redis or dedicated feature stores to support real-time MLOps and AI/LLM workloads

* Familiarity with Lakehouse architectures and Semantic Layer implementations.

* Experience with Kubernetes, Helm, Terraform/OpenTofu, or cloud infrastructure automation.

* Experience with Scaleway or multi-cloud environments.

* Contributions to open-source data, analytics, or MLOps projects.

* Experience deploying or optimizing infrastructure supporting LLM workloads and AI applications.

Our stack:

* GoLang / Python

* KNative Serving / Kafka / Redis

* Docker / Kubernetes / Helm Charts

* PostgreSQL / BigQuery

* AWS / GCP / SCW (plus)

Benefits at Hadrian:

* Unlimited paid holiday

* Stock options package

* Mobile phone stipend

* Work-from-home budget

* Business travel card

* Swapfiets

* Referral bonuses

Why you want to be part of Hadrian:

Make the internet safer: We enable companies to protect their customers, employees, and other stakeholders from malicious hackers by providing real-time Exposure Management from the Hacker’s perspective

Board a primed rocket ship: Hadrian is growing fast; the team is approaching 100 wonderful people, notable customers are signed, and significant funding is raised. Now is the time to join our high-growth journey

Be part of a strong and dynamic culture: Our values define who we are as a group and serve as the cornerstones to guide us in building a product that our customers love. At Hadrian, we achieve this by championing a culture that takes ownership, succeeds together, increases velocity, and pursues growth

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Sounds like the role for you? Apply now!

> Our clients are seeking a world-class and reliable digital security service. That is exactly what we are offering. Therefore, a background check will be part of the process.