Data Engineer

Camper
Illes Balears, Spain
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Tech stack

Adaptable Database Systems BigQuery Cloud Computing Data Architecture Data Governance Extract Transform Load (ETL) Data Visualization Data Warehousing Data Flow Control Python (Programming Language) Raw Data Power BI
+8 more
SQL Databases Sql Optimization Google Data Studio Data Strategy Information Technology Data Analytics Enterprise Integration Looker Analytics

Job description

Position SummaryAt Camper, we walk to a different beat, and our data strategy is no exception. We are looking for a BI Engineer to help us build, evolve, and scale our enterprise Data Warehouse. You will play a key role in connecting raw data with strategic decision-making, designing robust data models, and creating intuitive dashboards that empower teams across the company to make data-informed decisions.ResponsibilitiesData Architecture & Modeling: Design, build, and maintain scalable data models within our Data Warehouse to power analytics and Data Governance.Pipeline Integration: Extract, transform, and load (ELT/ETL) data from diverse source systems (ERP, E-commerce, Marketing platforms), ensuring high data quality and reliability.Dashboarding & Visualization: Create functional, high-impact dashboards and reports using tools like Looker, Looker Studio, or Power BI to serve both business users and leadership.Self-Service & Enablement: Foster a data-driven culture by enabling non-technical stakeholders to perform self-service analytics and conducting ad-hoc deep dives when complex business questions arise.RequierementsBachelor’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.It Is ValuedKnowledge of Python or R.Knowledge of DataFlow, DBT, Cloud Functions.Advanced analytics techniques (inferential statistics)What We OfferA dynamic and multicultural working environment that fosters teamwork, learning, and professional growth.Discounts on Camper products.Team outings and events.Immediate start date with a flexible schedule.You will be part of a leading company in the fashion sector, dynamic, innovative,highly aware and committed to sustainability, with a close and inspiring working environment.Camper is committed to the goals of equal opportunities in order to create a diverse and inclusive business. We value the differences that diversity brings to our brand and uphold this as part of our company values.We aim to provide a working environment that fosters inclusion, fairness, equity, and respect for social and cultural diversity and that is free from unlawful discrimination and harassment. Our recruitment process considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled status or any other characteristic protected by law.#J-*****-Ljbffr

Requirements

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. It Is Valued Knowledge of Python or R. Knowledge of DataFlow, DBT, Cloud Functions. Advanced analytics techniques (inferential statistics)

Benefits & conditions

A dynamic and multicultural working environment that fosters teamwork, learning, and professional growth. Discounts on Camper products. Team outings and events. Immediate start date with a flexible schedule. You will be part of a leading company in the fashion sector, dynamic, innovative,highly aware and committed to sustainability, with a close and inspiring working environment. Camper is committed to the goals of equal opportunities in order to create a diverse and inclusive business. We value the differences that diversity brings to our brand and uphold this as part of our company values. We aim to provide a working environment that fosters inclusion, fairness, equity, and respect for social and cultural diversity and that is free from unlawful discrimination and harassment. Our recruitment process considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled status or any other characteristic protected by law. #J-*****-Ljbffr

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