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2 часа назад

Analyst Engineer (Data)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain
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

Analyst Engineer (Data): Building and maintaining production-grade data transformation layers within a decentralized product domain with an accent on SQL, dbt, and dimensional modeling. Focus on designing stable data schemas, implementing automated quality controls, and applying software engineering best practices to data models.

Location: Must be based in Spain (Madrid)

Company

hirify.global is a global leader in employee benefits and engagement, shaping sustainable and personalized employee experiences across 29 countries.

What you will do

  • Build and maintain production-grade data models following industry best practices.
  • Design stable data schemas with clear naming conventions and documented business logic.
  • Implement automated data quality controls, including tests and validation rules.
  • Monitor data reliability, freshness, and performance to ensure high-quality outputs.
  • Manage data model evolution using versioning and CI/CD practices.
  • Collaborate with cross-functional product teams to align data solutions with business requirements.

Requirements

  • Proficiency in English and Spanish required.
  • Solid SQL skills including window functions, CTEs, and optimization techniques.
  • Hands-on experience with dbt for modeling, testing, and documentation.
  • Strong understanding of dimensional modeling and schema design.
  • Experience with software engineering workflows including git, pull requests, and CI/CD.
  • Ability to translate business requirements into scalable data products.

Nice to have

  • Experience with ClickHouse.
  • Familiarity with data observability and anomaly detection frameworks.

Culture & Benefits

  • Multicultural and inclusive work environment.
  • Focus on wellbeing and work-life balance.
  • Opportunities for professional growth and learning.
  • Impactful work supporting local economies and communities.

Hiring process

  • Initial video call with the People team.
  • Discussion with Product and Engineering Managers.
  • Technical conversation including a data modeling challenge.

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