Data Engineer

4 days ago

Prague, Hlavní město Praha, Czech Republic Aisle Full time 120,000 - 240,000 per year
Why Aisle?

Aisle is redefining how enterprises secure their software with an AI agent for autonomous vulnerability remediation. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to patch what attackers exploit in days. We're changing that.

Our mission is to protect democratic societies from the most sophisticated cyberattacks. We do that by giving organizations - including those operating critical infrastructure - the power to harden their systems and resolve security issues at superhuman speed and scale. Backed by world-class founders and advisors, we're creating a new category in cybersecurity at the intersection of AI, automation, and enterprise resilience.

We're a small, talent-dense team spread across the US, Europe, and Israel. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you.

What we're looking for

  • 5+ years of experience in data engineering, data infrastructure, or related roles

  • Strong skills in SQL and Python for large-scale data processing and analysis

  • Experience building and maintaining data pipelines in cloud environments

  • Familiarity with data orchestration tools and data modeling frameworks

  • Comfortable integrating data from multiple sources, including APIs, SaaS platforms, and third-party services

  • Strong understanding of data quality, governance, and monitoring best practices

  • Ability to collaborate with both technical and business stakeholders to translate requirements into data solutions

What you'll do

  • Design, build, and maintain data pipelines that connect our internal systems, cloud infrastructure, and external integrations

  • Develop scalable data models and transformations to support analytics, reporting, and product features

  • Implement data quality monitoring and governance practices to ensure reliability and trust in our data

  • Work with product and engineering teams to support AI workflows, enabling training, evaluation, and monitoring of LLMs

  • Partner with business stakeholders (finance, GTM, security) to deliver actionable insights through clean, well-structured data

  • Establish best practices for data infrastructure and play a key role in shaping our long-term data strategy

  • Act as the founding member of the Data Engineering function, building the foundation for future scale.

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