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21 час назад

Senior Analytics / Data Engineer (dbt)

Формат работы
remote (только France)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
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 Analytics / Data Engineer (dbt): Building and owning Filigran’s enterprise data platform from ingestion through trusted models, governed data, and KPI dashboards with an accent on analytics engineering, data quality, observability, and governance. Focus on maintaining Airbyte/Airflow pipelines, designing dbt transformations, enabling self-serve analytics, and developing AI-powered data access and proactive alerting.

Location: Remote from France

Company

hirify.global is a fast-growing cybersecurity company building open-source solutions to help organizations anticipate cyber threats and strengthen their security posture.

What you will do

  • Own the Enterprise Data Platform end-to-end, from ingestion and transformation to consumption.
  • Model and transform data with dbt using staging, intermediate, and marts layers.
  • Maintain data quality, reliability, observability, testing, monitoring, alerting, and governance.
  • Maintain and troubleshoot Airbyte and Airflow ingestion pipelines connected to external APIs and data sources.
  • Build Metabase dashboards, define KPIs with cross-functional stakeholders, and enable self-serve analytics.
  • Improve the platform architecture and tooling, including AI agents, proactive metric alerting, and a semantic layer.

Requirements

  • 5+ years of experience in Analytics Engineering or Data Engineering.
  • Strong production experience with dbt, including modeling, testing, data quality, observability, and governance.
  • Experience maintaining and debugging Airflow, Airbyte, or equivalent ingestion and orchestration pipelines.
  • Proficiency in SQL and Python.
  • Experience with software engineering practices including version control, code reviews, testing, and CI/CD.
  • Ability to work autonomously across the full data stack in a remote, async-first environment.

Nice to have

  • Experience building AI agents, natural-language querying, or agentic assistants for data platforms.
  • Familiarity with LLM and agent stacks, tool calling, or MCP integrations.
  • Experience in the cybersecurity industry.

Culture & Benefits

  • Fully remote, flexible, balanced, and async-first working environment.
  • Collaboration with Sales, Finance, Product, Engineering, Support, and People teams.
  • Competitive pay and equity participation.
  • Choice of work equipment and setup.
  • Twice-yearly regional and global in-person gatherings.

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