Cybcube

Senior Data Engineer

Tallinn Office. Posted a month ago

The role

You will own the architecture of the data platform layer. You will build AI-ready data infrastructure, manage data as a product, and design schemas for transactional and analytical access.

What you will do

  • Set up contracts, versioning, docs, SLAs and self-service onboarding for data as a product
  • Design schemas for transactional and analytical access and lead dataset migration
  • Build tool definitions, scoped permissions, metadata exposure and audit trails for AI agents
  • Decide between agentic automation and deterministic pipelines and build matching tooling
  • Improve scalability, reliability and cost across Spark, Iceberg, Airflow and AWS
  • Own lineage, quality checks and isolation for client-sensitive data
  • Write and review design docs and turn requirements into epics

Required qualifications

  • Experience in data or backend engineering
  • Strong Python and production API experience
  • Hands-on GraphQL design
  • 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
  • Daily use of AI coding tools

Nice to have

  • Hasura
  • 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

Benefits

  • 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

About the company

CyberCube delivers analytics to quantify digital risk for global carriers, reinsurers and brokers. The company is built on AI and has a global team across San Francisco, New York, London, and Tallinn.