BI Engineer: Data Warehouse & Dashboards (Flexible Start)

Camper; Inca; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discounts on Camper products

Team outings and events

Flexible start date

Multicultural working environment

Descripción de la vacante

Camper is seeking a BI Engineer to build and scale our Data Warehouse, connecting raw data with strategic decisions. You will design data models and create dashboards for teams across the company using Looker, Looker Studio, or Power BI.

Strong SQL and BigQuery experience are required, with a drive to enable self-service analytics for non-technical stakeholders. Join a dynamic, multicultural environment and contribute to data governance and scalable analytics while supporting business leadership

Formación

• Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields.
• Advanced SQL skills.
• Prior experience with BigQuery.
• Advanced knowledge of visualization tools (Looker, Looker Studio, Power BI).
• English level B2.

Responsabilidades

• Data Architecture & Modeling: Design, build, and maintain scalable data models within our Data Warehouse to power analytics and Data Governance.
• Pipeline Integration: ELT/ETL data from diverse source systems (ERP, E-commerce, Marketing platforms).
• Dashboarding & Visualization: Create dashboards and reports using Looker, Looker Studio, or Power BI.
• Self-Service & Enablement: Enable non-technical stakeholders to perform self-service analytics and ad-hoc deep dives.

Conocimientos

Advanced SQL

Data modeling

BigQuery

Educación

Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields

Herramientas

Looker

Looker Studio

Power BI

Descripción del empleo

Camper is seeking a BI Engineer to build and scale our Data Warehouse, connecting raw data with strategic decisions. You will design data models and create dashboards for teams across the company using Looker, Looker Studio, or Power BI.

Strong SQL and BigQuery experience are required, with a drive to enable self-service analytics for non-technical stakeholders. Join a dynamic, multicultural environment and contribute to data governance and scalable analytics while supporting business leadership