Data Engineer – Ecommerce Analytics (BigQuery, Power BI)

Amaris Consulting | Part of Mantu; Cerdanyola del Vallés; Híbrido; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International community of 110+ национ

Internal Academy and training modules

Hybrid work model

Descripción de la vacante

Amaris Consulting is seeking a Data Engineer in Cerdanyola del Vallès to analyse Ecommerce and customer data, build SQL queries, and develop Power BI dashboards. You’ll work with Databricks, BigQuery and Snowflake to integrate data sources and support strategic decision-making.

The ideal candidate has 3–5 years of data analytics/engineering experience, strong SQL, Python, and BI skills, and fluent Spanish with good English.

Formación

• 3–5 years of experience in Data Analytics or Data Engineering, preferably in Ecommerce/Retail.
• Strong SQL with query optimization and complex data structures.
• Advanced Power BI skills, including DAX and Power Query, dashboards from scratch.
• Hands-on experience with Databricks is mandatory.
• Experience with BigQuery and Snowflake.
• Experience with Python.
• Experience with GrowthBook, Optimizely or Azure DevOps is a plus.
• Fluent Spanish and good command of English.

Responsabilidades

• Analyse Ecommerce and customer data to generate actionable business insights and support strategic decision-making.
• Develop and optimise SQL queries across multiple tables and sources.
• Work with BigQuery and Snowflake for data extraction, transformation and analysis.
• Build Power BI dashboards from scratch with data modelling, DAX and Power Query.
• Define and monitor Ecommerce KPIs for stakeholder reporting.

Conocimientos

SQL

Power BI

Python

Fluent Spanish

English

Herramientas

Databricks

BigQuery

Snowflake

GrowthBook

Optimizely

Azure DevOps

Descripción del empleo

Amaris Consulting is seeking a Data Engineer in Cerdanyola del Vallès to analyse Ecommerce and customer data, build SQL queries, and develop Power BI dashboards. You’ll work with Databricks, BigQuery and Snowflake to integrate data sources and support strategic decision-making.

The ideal candidate has 3–5 years of data analytics/engineering experience, strong SQL, Python, and BI skills, and fluent Spanish with good English.