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3 дня назад

Senior Analytics Engineer (Semantic Layer)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Poland/Romania +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Analytics Engineer (Semantic Layer) (AI, AdTech): Building an AI-first semantic layer and canonical analytical models that standardize business metrics across dashboards, BI tools, reporting systems, and AI-powered applications with an accent on semantic modeling, data governance, and scalable analytics. Focus on translating ambiguous business concepts into tested technical definitions, reconciling critical metrics, and preparing reusable datasets and metadata for analysts and AI agents.

Location: Remote within Europe, Albania, Poland, Romania, Ukraine, Asia, and Uzbekistan

Company

Work on large-scale AdTech, analytics, and AI initiatives for enterprise customers through hirify.global Software.

What you will do

  • Design scalable semantic modeling approaches and build canonical analytical models on modern data platforms.
  • Define and govern business metrics and KPIs with Finance, Product, Ad Operations, Sales, and other stakeholders.
  • Translate business definitions into robust, tested technical implementations and reusable semantic models.
  • Develop datasets and analytical solutions for BI tools, internal stakeholders, customer-facing reporting, and AI agents.
  • Reconcile metrics across operational systems, reporting platforms, and financial data.
  • Maintain automated tests, documentation, metadata, lineage, and standards for governed analytics.

Requirements

  • At least 5 years of experience in Analytics Engineering or Data Engineering.
  • Expert-level SQL and Analytics Engineering skills, with strong Business Intelligence experience.
  • Commercial experience with dbt or a similar modern data transformation framework.
  • Strong knowledge of dimensional, canonical, and semantic modeling, data quality validation, testing, and reconciliation.
  • Experience with production-grade BI solutions, analytical products, modern cloud data platforms, and scalable analytics architectures.
  • Upper-Intermediate English or higher required.

Nice to have

  • Finance and revenue reconciliation experience.
  • Experience with multi-tenant analytics environments.
  • Experience preparing structured data and metadata for AI/LLM consumption.
  • Experience building customer-facing analytics and reporting solutions.

Culture & Benefits

  • Remote work with a flexible schedule.
  • Health and legal support.
  • Continuous education and an active professional community.
  • Access to offices when preferred.
  • Sports and community activities.

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