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6 дней назад

Senior Data Platform Engineer (AI)

5 800 - 6 700€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Estonia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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