CyberCube, Tallinn Office
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)
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.
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.
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.
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Source: the CyberCube Ashby job board. We last checked this job 6 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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