ALOHAS is more than a fashion brand: it's a responsible shopping experience and an opportunity to take part in the fight against overproduction in the fashion industry.Working at ALOHAS means being part of the innovation and growth of a Spanish start-up with a young, creative, and proactive team, where communication flows and energy levels are high.
Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.
It's a demanding environment, but extremely rewarding, and we take pride in learning from one another and strive to make sustainability a way of life beyond the workplace.We are passionate about what we do, and that passion shines through in our work.THE ROLEWe are looking for an Analytics Engineer to help shape how ALOHAS understands its own performance: from the way we define a metric, to the way it lands in a Lightdash dashboard, to the way an AI agent reasons over it.You will sit at the heart of our modern data stack (BigQuery + dbt + Lightdash),
partnering with our Data Engineer on the technical side and with any team across the business on the stakeholder side.
Your work will turn raw, well-governed data into the facts, marts, and metric definitions the company runs on day to day.This is a builder role You will own questions end-to-end, from "what does this number mean?" to "here it is, trusted, documented, and visible to anyone who needs it".You will be joining a platform that is already in production: a growing dbt project in BigQuery (staging, intermediate, and mart layers), Airbyte syncing from our core source systems (Shopify, Odoo, carrier billing, and more), and Lightdash already used by stakeholders across the business.YOUR CHALLENGEOur modern data platform runs on BigQuery as the warehouse, dbt Core (with dbt Cloud for CI/CD) as the transformation layer, and Lightdash as the visualization and semantic layer.
Ingestion is handled by Airbyte and orchestration by Dagster.
📌 Analytics Engineer (España)
🏢 ALOHAS
📍 España