2 дня назад
Analytics Engineer I - AI & Data Enablement
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 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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