Data Engineer Spanish Speaker | BigQuery, Databricks & BI

MANTU GROUP SA; España; Presencial; EUR 42.000 - 70.000; Jornada completa

Descripción de la vacante

Amaris Consulting in Spain is seeking a Data Engineer to analyze Ecommerce data, develop SQL queries, and build Power BI dashboards with Databricks involvement. You will integrate diverse data sources and monitor KPIs to inform strategic decisions.

The role requires 3–5 years in data analytics/engineering, strong SQL, and expertise in Power BI, Databricks, BigQuery and Snowflake. Fluent Spanish and good English are essential.

Formación

• 3-5 years of experience in Data Analytics or Data Engineering, preferably in Ecommerce/Retail.
• Strong SQL, query optimization and working with complex data structures.
• Advanced Power BI with dashboards from scratch (DAX/Power Query).
• Hands-on Databricks; experience with BigQuery and Snowflake.
• Experience with Python; plus GrowthBook/Optimizely/Azure DevOps is a plus.
• Fluent Spanish and good English.
• Working hours: Mon-Thu 09:00-18:00, Fri intensive.

Responsabilidades

• Analyse Ecommerce and customer data to generate actionable insights and support decision-making.
• Develop and optimise SQL queries across multiple tables and sources.
• Work with BigQuery and Snowflake for data extraction and analysis.
• Build Power BI dashboards from scratch with data modelling and DAX.
• Define and monitor Ecommerce KPIs for stakeholder reporting.
• Work with Databricks to analyse data across sources.
• Integrate digital, CRM and transactional data for analytics use cases.
• Monitor data quality and communicate insights to business stakeholders.
• Office with bus connection and parking available.

Conocimientos

SQL

Power BI (DAX/Power Query)

Data Analytics

Data Engineering

Dashboard design

Data modelling

Stakeholder communication

Spanish language

English language

Herramientas

Databricks

BigQuery

Snowflake

Python

GrowthBook

Optimizely

Azure DevOps

Descripción del empleo

Amaris Consulting in Spain is seeking a Data Engineer to analyze Ecommerce data, develop SQL queries, and build Power BI dashboards with Databricks involvement. You will integrate diverse data sources and monitor KPIs to inform strategic decisions.

The role requires 3–5 years in data analytics/engineering, strong SQL, and expertise in Power BI, Databricks, BigQuery and Snowflake. Fluent Spanish and good English are essential.