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23 часа назад

Data Engineer (AI)

90 000 - 140 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI): Building a trusted data platform for an AI product, from raw product events to analytical models, metrics, and self-service dashboards with an accent on data engineering, product analytics, and data quality. Focus on defining reliable metrics, operating production pipelines on dbt and ClickHouse, improving product instrumentation, and establishing data standards for a growing data function.

Location: In-office at Greifswalder Strasse 212 in Berlin, Germany. Existing right to work in Germany is required; visa sponsorship is not currently available.

Salary: €90,000–€140,000 gross per year, depending on level and scope. Equity included.

Company

hirify.global is an AI platform that gives more than 10,000 companies secure access to leading AI models, agent-building tools, and workflow automation.

What you will do

  • Define and model trustworthy company metrics, including their calculations, limitations, and ownership.
  • Build product-usage models for activation, adoption, retention, feature usage, and customer health.
  • Own production ingestion pipelines, warehouse models, data quality checks, deployment workflows, monitoring, and recovery procedures.
  • Partner with Product Engineers to evaluate product changes, investigate user behavior, and improve product instrumentation.
  • Support Account Management, Revenue, Finance, and leadership with dependable reporting and reusable data models.
  • Establish standards for data modeling, quality, observability, documentation, and collaboration across Product Development.

Requirements

  • Experience building and operating production data pipelines and analytical models.
  • Ability to work across infrastructure, SQL modeling, exploratory analysis, and product or business definitions.
  • Comfort with dbt, analytical databases, deployment systems, and business intelligence tools.
  • Strong approach to investigating unexpected numbers and understanding the underlying product and technical behavior.
  • Ability to turn ambiguous questions into clear definitions, dependable models, and actionable explanations.
  • Existing right to work in Germany is required.

Culture & Benefits

  • Work in person with the engineering team to build trust, shared context, and fast decision-making.
  • Engineering typically starts around 8:30, with shared lunches and dinner available for people staying later.
  • Running and gym activities are part of the office routine.
  • All roles include equity.
  • Compensation is tied to level and scope rather than negotiation.

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