6 дней назад
Senior Data Platform Engineer (AI)
5 800 - 6 700€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Platform Engineer (AI): Building an AI-ready data access layer for dashboards, applications, and production AI agents with an accent on data products, schema design, governance, and scalable platform infrastructure. Focus on designing safe agent-facing interfaces, migrating transactional and analytical datasets, and improving reliability across Spark, Iceberg, Airflow, and AWS.
Location: Tallinn, Estonia; hybrid setup with a work-from-home option
Salary: €5.8K–€6.7K per month
Company
provides AI-powered cyber risk analytics that help insurers, reinsurers, and brokers quantify, price, and manage digital risk.
What you will do
- Own the architecture of a governed data access layer for dashboards, applications, and AI agents.
- Define data contracts, versioning, documentation, SLAs, and self-service onboarding for product teams.
- Design transactional and analytical schemas and lead the migration of existing datasets.
- Build AI-facing interfaces with scoped permissions, metadata exposure, and auditable access.
- Improve scalability, reliability, and cost across Spark, Iceberg, Airflow, Redshift, and AWS.
- Own data lineage, quality checks, sensitive-data isolation, and technical direction across multiple teams.
Requirements
- Experience in data or backend engineering with strong Python and production API experience.
- Hands-on GraphQL design experience; Hasura experience is beneficial.
- Strong relational database skills, including schema design, indexing, and performance tuning for MySQL, PostgreSQL, or similar systems.
- Experience with Airflow and lakehouse technologies such as Spark, Iceberg, Redshift, or Athena.
- Experience writing and reviewing system design documents.
- Practical experience applying AI to engineering or data work and using AI coding tools.
Nice to have
- MCP servers or RAG pipelines.
- Agent evaluation harnesses and AI observability.
- LangGraph, Claude Agent SDK, OpenAI Agents SDK, or other orchestration frameworks.
- Guardrails, prompt-injection defense, and Elasticsearch or OpenSearch.
Culture & Benefits
- Technical ownership and influence over direction across several teams.
- Production-focused AI work, including MCP servers, semantic layers, and evaluation harnesses.
- Learning and development assistance.
- Vision and dental coverage, plus additional winter-holiday vacation days.
- Flexible working hours, work-from-home options, mentorship, and secondment programs.
- Approved work abroad for up to three months.
Hiring process
- AI fluency is assessed as part of the hiring process.
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