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2 дня назад

Analytics Engineer I - AI & Data Enablement

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
c1
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
Analytics Engineer I - AI & Data Enablement (SQL/Python): Building reliable data models, trusted datasets, and AI-enabled data workflows for business teams with an accent on production-grade SQL, data quality, and responsible GenAI usage. Focus on designing tested transformations, validating AI-generated outputs, automating manual workflows, and developing data products with cross-functional stakeholders.

Location: Barcelona, Spain; hybrid, with the freedom to work from home two days a week

Company

Glovo is a local delivery platform operating as part of the hirify.global Group across around 65 countries.

What you will do

  • Design reliable datasets and data models that support business decisions across global teams.
  • Write production-grade SQL transformations using version control, testing, and data quality practices.
  • Contribute to AI-assisted workflows through prompt design, context grounding, validation, and responsible AI usage.
  • Partner with Data Analysts, Product Managers, business stakeholders, and data teams to solve business problems.
  • Automate manual workflows and help build accessible, trusted data products.
  • Progressively take ownership of small data products and AI-enabled data initiatives.

Requirements

  • 1–2 years of experience in analytics or data engineering, BI, mathematics, computer science, or a related field.
  • Solid SQL fundamentals, including joins, aggregations, and debugging.
  • Working knowledge of Python and basic Git practices.
  • Understanding of data modeling concepts such as facts, dimensions, and granularity.
  • Above-average literacy with GenAI tools for coding, analysis, or workflow automation, with the ability to validate outputs and use AI responsibly.
  • Fluent English required. Strong communication, attention to detail, adaptability, and collaboration skills are also expected.

Nice to have

  • Exposure to BigQuery, dbt, Looker, or similar tools.
  • Experience with prompt iteration, code review support, data exploration, workflow automation, or AI output evaluation.
  • Understanding of APIs, data pipelines, process improvement, automation, process intelligence, or operational analytics.
  • Experience from professional, internship, academic, or personal data, analytics, or AI projects.
  • Interest in responsible AI, data governance, privacy, and data quality.

Culture & Benefits

  • Hybrid work with two work-from-home days per week and the opportunity to work from anywhere for up to three weeks per year.
  • Flexible time off and enhanced parental leave.
  • Private health insurance, online therapy, and wellbeing benefits.
  • Equity plan dependent on level.
  • Monthly Glovo credit, discounts on transportation, food, and kindergarten expenses.
  • Wellhub membership, office-based nursery, and an external learning budget.

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