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17 часов назад

Analytics Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK/Spain
Релокация
UK/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
Analytics Engineer (Data): Transforming raw data into high-quality datasets and visualizations with an accent on dbt, SQL, and cloud data warehousing. Focus on building scalable ELT pipelines, implementing robust data modeling, and ensuring data quality for business-critical reporting.

Location: Must be based within commuting distance of London or Barcelona

Company

hirify.global is an intelligent platform for travel and spend management, automating travel bookings, expenses, and invoice processing for over 12,000 companies worldwide.

What you will do

  • Design and maintain efficient ELT pipelines using dbt to transform raw data into clean, usable models.
  • Implement best-practice data modeling techniques to ensure performance and accuracy.
  • Develop comprehensive data quality checks, tests, and monitoring scripts.
  • Collaborate with analysts and business users to optimize data models for analytical use cases.
  • Build scalable, compelling data visualizations in Looker.
  • Optimize SQL queries to improve data warehouse performance.

Requirements

  • Must be based within commuting distance of London or Barcelona.
  • Multiple years of experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Developer.
  • Expert-level proficiency in SQL.
  • Hands-on experience with dbt or similar transformation frameworks.
  • Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
  • Proficiency with Git for version control.
  • Familiarity with BI tools like Looker.

Nice to have

  • Python expertise for automation and orchestration.
  • Experience with semantic layers and orchestration tools like Airflow.
  • Knowledge of modern software engineering practices applied to data.

Culture & Benefits

  • IRL-first approach with 3 days per week in the office.
  • Global company culture with team members from over 70 countries.
  • Opportunity to shape the data infrastructure of a high-growth SaaS platform.
  • Relocation support available for certain roles.

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