---
title: 'Senior Data Engineer at CyberCube'
canonical: 'https://feeny.ai/job/senior-data-engineer-cybercube-tallinn-xha4njr7pmvb'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Data Engineer at CyberCube

- **Company:** CyberCube
- **Location:** Tallinn, Estonia
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/cybcube/ed57ef1a-aed8-420c-9a56-c3b724a356fe

## Job description

[About CyberCube:](https://www.cybcube.com/careers) CyberCube delivers the world's leading analytics to quantify digital risk, helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms.

- AI at our foundation, cyber risk at our core. We don't just use AI, we shape it.
- Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing.
- Trusted by more than 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers.
- Backed for global growth. In 2025 Spectrum Equity joined some of CyberCube’s financial partners as a new cornerstone investor, accelerating our global growth and fueling innovation across our end-to-end cyber risk analytics for the insurance industry.
- A truly global team across San Francisco, New York, London, and Tallinn.
- A culture of collaboration, openness, intellectual rigor, and ownership for excellence.
- People at the forefront. We encourage CyberCubers to challenge themselves, push boundaries, and do the best work of their careers.

Most data platforms were built to feed dashboards. Ours has to feed dashboards, applications, and the AI agents we're building to let customers and our own teams dig into sensitive portfolio data far deeper than a dashboard allows — fast, governed, and auditable to the row.

We're hiring a Senior Data Platform Engineer to own the architecture of that layer. Everyone's talking about "AI-ready data infrastructure." This is the job where you actually build it.

## What you'll own

- Data as a product: You'll set up contracts, versioning, docs, SLAs and self-service onboarding, so product teams can use the data access layer without asking us every time.
- Modelling & migration: You'll design schemas for both transactional and analytical access, and lead the move of existing datasets onto them.
- AI-facing interfaces: You'll build tool definitions, scoped permissions, metadata exposure and audit trails, so agents can query data safely.
- Agent vs. pipeline judgment: You'll decide where agentic automation helps and where a deterministic pipeline is the better choice, then build the tooling to match.
- Platform health: You'll improve scalability, reliability and cost across Spark, Iceberg, Airflow and AWS.
- Governance: You'll own lineage, quality checks and isolation for client-sensitive data, whether a person or an agent is reading it.
- People & direction: You'll write and review design docs and turn requirements into epics

## Our stack

Python · GraphQL/Hasura · MySQL · Redis · Elasticsearch · Spark · Iceberg · Airflow · Redshift · AWS (S3, Glue, Lambda, RDS, Containers)

## Why to join this team

- Real ownership. You set the technical direction across several teams, not just one backlog.
- AI work that ships. You'll build MCP servers, semantic layers and eval harnesses for production, not demos.
- Work that matters. Our analytics help the insurance industry understand and price cyber risk.
- Engineers who use the tools. Claude Code, Cursor and agentic workflows are part of how we work every day.

You'll thrive if you have

- Experience in data or backend engineering, with strong Python and production API experience
- Hands-on GraphQL design (Hasura is a bonus)
- Deep relational database skills on RDS MySQL/PostgreSQL or similar: schema design, indexing, tuning
- Experience with Airflow plus lakehouse tools (Spark, Iceberg, Redshift, Athena)
- A track record of authoring and reviewing system design documents
- Real experience applying AI to engineering or data work, and daily use of AI coding tools

Bonus points

- MCP servers or RAG pipelines
- Agent eval harnesses
- AI observability (tokens, latency, failure modes)
- LangGraph / Claude Agent SDK / OpenAI Agents SDK or your own orchestration
- Guardrails and prompt-injection defence
- Elasticsearch/OpenSearch

## Why You'll Love it Here

- Play an instrumental role in reshaping one of the oldest industries in the world
- Learning and development assistance
- Vision and dental coverage
- Extra vacation days during winter holidays
- Flexible working hours and work-from-home option
- Company-supported mentorship and secondment programs
- Work abroad for up to 3 months with approval

AI Fluency at CyberCube AI is reshaping how work gets done across every function. We value people who are curious about AI, eager to learn, and thoughtful about applying AI tools to work more effectively. AI fluency is part of how we assess every role in our hiring process.

Don't tick every box? Apply anyway. Research shows the best candidates rarely match a job description point for point. If you're excited about this role and believe you could make an impact, we'd love to hear from you, even if your experience doesn't line up perfectly with everything listed above.

CyberCube Analytics, Inc. and CyberCube Analytics Europe Limited is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

## About CyberCube

## Company Overview
- **One-liner**: CyberCube delivers world-leading cyber risk analytics and modeling SaaS solutions to help the insurance ecosystem quantify, underwrite, and manage cyber risk.
- **Entity Type**: Private – VC‑backed with multiple funding rounds (Series A, Series B, and a $180M+ investment in 2025 from Spectrum Equity)
- **Headquarters**: San Francisco, California, USA (additional offices in Chicago, New York, London, and Tallinn)
- **Founded**: 2018 (spun out from Symantec)
- **Founders**: Pascal Millaire (former General Manager of the Symantec division) and Ashwin Kashyap (Co‑Founder & CPO); the company launched as a standalone VC‑backed entity in 2018.

## Core Business
- **Primary industry**: Cyber risk quantification and analytics for the insurance industry (includes insurers, reinsurers, brokers, MGAs, and insurance‑linked securities markets).
- **Target customers**: B2B – specifically (re)insurance carriers, brokers, reinsurance brokers, MGAs, regulators/rating agencies, and insurance‑linked securities investors.
- **Mission or purpose statement**: “Quantify the impact of catastrophic cyber events to make informed policy decisions … deliver world‑leading analytics to quantify cyber risk and improve the resilience of organizations and society.”

## Products & Services
- **Cyber Risk Analytics Platform (SaaS)**: A suite of cloud‑based applications that enable insurance placement, underwriting selection, portfolio management, and catastrophe modeling. Uses AI and vast data sets (over 1 billion technology dependencies) to model cyber risk in financial terms. Is transparent about data sources, methodologies, and model assumptions.
- **Scenario‑based Models**: Provides the “widest array of representative, explainable cyber scenarios” to help clients stress‑test portfolios and set risk tolerance thresholds.
- **Advisory & Support**: Dedicated support teams and consulting to help clients customise analytics and upskill underwriting teams.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; latest capital injection of $180M+ from Spectrum Equity in 2025.
- **Key Metric (Funding)**: Total funding includes Series A (led by Forgepoint Capital), Series B (led by Hudson Structured Capital Management along with MTech Capital and individuals from Stone Point Capital), additional growth capital from Morgan Stanley Tactical Value (2022), and the $180M+ investment from Spectrum Equity (2025).
- **Notable Investors/Partners**: Forgepoint Capital, Hudson Structured Capital Management, MTech Capital, Stone Point Capital, Morgan Stanley Tactical Value, and Spectrum Equity. Also a signatory to the UN Global Compact.
- **Growth Signals**: 
  - Used to model over 70% of global cyber premiums.
  - 75% of the top 40 European and US cyber insurance carriers utilize CyberCube analytics.
  - 70% of the top ten reinsurance brokers use CyberCube.
  - 50% of the top 20 reinsurance carriers analyze their portfolios with CyberCube.
  - Over 100 leading institutions as clients (as of 2023).
  - Office expansions into New York and Chicago (2022) and a recent cornerstone investment from Spectrum Equity (2025) to accelerate global growth.

## Competitive Advantages
- **Market‑leading penetration**: Already embedded in the infrastructure of the global cyber (re)insurance market.
- **Multidisciplinary team**: Combines expertise from cybersecurity, data science, actuarial science, software engineering, and insurance – a rare blend.
- **Transparency**: Open about data sources, models, and methodologies – builds trust with risk‑averse clients.
- **AI‑driven innovation**: Uses artificial intelligence as a core component to process vast data and deliver forward‑looking insights.
- **Scale of data**: Over 1 billion technology dependencies mapped to model cyber risk at a granular level.

## Strategic Focus
- **Global expansion**: Using the Spectrum Equity investment to accelerate international growth and fuel product innovation.
- **End‑to‑end analytics**: Moving beyond underwriting to cover the full risk lifecycle – portfolio management, capital modeling, and insurance‑linked securities.
- **ESG & sustainability**: Committed to the UN Global Compact and cross‑functional ESG initiatives, integrating responsible practices into operations.
- **Talent development**: Investing in employee learning and development budgets, volunteer days, and a supportive remote‑first culture.

## Why Work Here
- **Culture**: “Put people at the forefront” with a focus on wellbeing, personal development, trust, and openness. Core values include collaboration, intellectual rigor, and making an impact.
- **Work model**: Hybrid workspace with flexible remote policies – employees are expected to be on‑site periodically (typical time on‑site is flexible). Offices in San Francisco, Chicago, New York, London, and Tallinn.
- **Notable perks**: Learning & development budget, cement programs, volunteer days, and an inclusive environment that champions diversity. Recognized with awards for product innovation, culture, and employee satisfaction.
- **Engineering culture**: Multidisciplinary teams – data scientists, actuaries, software engineers, and cyber experts work closely. “The best of Silicon Valley meets the best of the insurance industry.”
- **Mission‑driven**: “Help society become more resilient to cyber risk” – employees feel their work has tangible societal impact.

## Sources
1. [cybcube.com - Home](https://www.cybcube.com/)
2. [cybcube.com - About Us](https://www.cybcube.com/about)
3. [cybcube.com - Careers](https://www.cybcube.com/careers)
4. [cybcube.com - Working for CyberCube video](https://www.cybcube.com/videos/working-for-cybercube)
5. [builtin.com - CyberCube profile](https://builtin.com/company/cybcube-analytics)

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