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6 дней назад

Data Engineering & Analytics Manager

85 000 - 110 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineering & Analytics Manager (Databricks/dbt/AWS): Leading a 3–4-person data and analytics team responsible for ingestion, warehouse models, metric layers, reporting, and scalable data platforms with an accent on reconciliation, lineage, automation, and cross-functional prioritization. Focus on shaping data strategy, reviewing models, improving engineering practices, and balancing the needs of growth, carrier reporting, finance, and actuarial teams.

Location: Amsterdam, Netherlands; hybrid schedule with 3 days in the office and 2 days from home, plus up to 4 weeks per year working from abroad.

Salary: €85,000–€110,000 per year, plus performance-based equity grants.

Company

hirify.global is a high-growth insurance scale-up building AI-powered SME insurance products across the Netherlands, France, and Germany.

What you will do

  • Lead a team of 3–4 data engineers and analysts, including team planning, hiring, development, and production ownership.
  • Run discovery with business teams and deliver the data platforms and datasets they need.
  • Prioritize trade-offs between Growth, carrier reporting, corporate finance, and actuarial requirements while aligning with cross-functional partners.
  • Scale the platform so new countries, carriers, and products can be supported through configuration and reusable models.
  • Automate recurring work such as carrier reporting and cash reconciliation.
  • Improve engineering practices through data contracts, CI testing, alerts, and safe pre-production change validation.

Requirements

  • Previous experience managing or leading a data team, including hiring, feedback, and people development.
  • Deep expertise in one side of the data stack and working fluency in the other, with the ability to ship, review team work, and provide sound technical judgment.
  • A track record of shaping what gets built by translating business problems into data priorities, cutting scope, and demonstrating the resulting decisions.
  • Strong ownership and impact orientation, including the willingness to work beyond team boundaries when needed to achieve results.
  • Practical experience using AI in daily work, with the ability to explain where it helped and where it caused problems.

Nice to have

  • Experience with reporting that must reconcile, including bordereaux, revenue, cash, or ledger data.
  • Experience building B2B products, especially in insurance or fintech.
  • Experience working on products distributed across multiple country markets.
  • Experience with Databricks, dbt, and event tracking such as Snowplow or similar.

Culture & Benefits

  • Hybrid work with 3 office days, 2 home-working days, and up to 4 weeks per year from abroad.
  • 25 holiday days and a 6% employer pension contribution.
  • €50 net monthly wellbeing budget through Epassi.
  • Internal leadership programs, coaching, shared lunches, dogs, and Friday drinks.
  • Central Amsterdam office with a high-spec MacBook Pro.

Hiring process

  • Leadership interview covering performance management, personal development, and team building.
  • Warehouse data model review with two engineers and a data platform design exercise.
  • Values interview followed by a meeting with the founder.

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