Senior Data Engineer - AI-Ready Data Pipelines

Emburse; Bellprat; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburse’s SaaS products. As a data engineer, you will build the pipelines that populate the data warehouse and data lakes, implement tenant data security, support the data science platforms and techniques, and integrate AI data solutions and APIs with Emburse products and analytics.

The role resides in the Emburse Platform analytics team, delivering next-generation business intelligence and data

Formación

• Bachelor’s degree in Computer Science or related field, or equivalent years’ experience.
• Advanced SQL knowledge and experience with relational/columnar databases.
• Production experience with Python and data pipelines.
• Experience with modern data warehouses/lac data lakes (e.g., Snowflake, AWS).
• Experience with BI tools like Looker and ETL/ELT tools.

Responsabilidades

• Develops data pipelines and systems powering Emburse’s SaaS products.
• Builds pipelines populating the data warehouse and data lakes.
• Supports data science platforms and AI data solutions integration.
• Ensures tenant data security and data governance across datasets.

Conocimientos

Advanced SQL

Data pipelines

Python

Data modeling

ETL/ELT

Cloud platforms

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Snowflake

Databricks

Spark

AWS

Looker

Fivetran

Descripción del empleo

Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburse’s SaaS products. As a data engineer, you will build the pipelines that populate the data warehouse and data lakes, implement tenant data security, support the data science platforms and techniques, and integrate AI data solutions and APIs with Emburse products and analytics.

The role resides in the Emburse Platform analytics team, delivering next-generation business intelligence and data