Senior Data Engineer

About CyberCube:

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.

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.

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

• 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

• 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

• 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 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.

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.