Senior Data Engineer

Are you ready to own the data infrastructure that powers the future of autonomous, AI-driven offensive cybersecurity?

Then Hadrian has the perfect role for you! Seize the opportunity to take full ownership of our data pipeline stack and scale our engineering foundation as our  Senior Data Engineer !

Who are we:
We are Hadrian  - an  offensive cybersecurity  startup. We are reshaping the future of cybersecurity through the power of agentic AI injected with the hacker’s perspective. Founded in August 2021, we've secured funding and the backing of ABN AMRO Ventures and Cherry Ventures, propelling us into a new era.

Our goal is to provide companies with an  autonomous Threat Exposure Management  platform. At Hadrian, we view security through a hacker's eyes because, well, hackers understand hackers best. We continuously map the digital footprint of organizations, discover risks, and prioritize remediation for security teams to harden their external attack surfaces.

Located in  Amsterdam 's buzzing Leidseplein, by  London 's famous Paddington Station, and our most recent US HQ in the heart of  New York City , our diverse team from 25+ countries is on a mission to shake things up in offensive security. Join us in making waves and securing over 700 businesses, and be at the forefront of automated 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 Big Query .

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…