Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€85к-110к/год
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Роль чётко очерчена и сочетает управление командой с технической ответственностью в растущем AI-страховании; при этом заявленная интенсивная культура стартапа может означать высокий темп работы.
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Высокий темпПонятная зона ответственностиСовременный стекПерспективная сфера
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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