Data Engineer - Build Scalable AI-Driven Data Platform

Bookboost; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Flexible working

Hub network (Malmö, Amsterdam, BCN)

Descripción de la vacante

Bookboost is seeking a Data Engineer to design and build scalable data pipelines and the data infrastructure powering our frontend, analytics, and ML pipelines. You will own the data platform and collaborate with product and engineering to deliver end-to-end ingestion, transformation, and storage at large scale.

Join a team that values ownership, creative problem solving, and a modern AI-driven data stack, with remote-friendly and hub-based working options in a hybrid setup.

Formación

• 4+ years of industry data engineering experience with owned production systems.
• Strong programming and processing skills, incl. distributed data processing (AWS, PySpark).
• Scale-focused with quantitative thinking and performance estimation at high scale.
• Familiarity with cloud data services (AWS, RDS), containerised infra (ECS, Docker).
• AI-native stack experience; able to build data infra powering ML/AI features.

Responsabilidades

• Design and build scalable data pipelines and infrastructure with Product and Engineering.
• Create ingestion, transformation and storage pipelines at high scale end-to-end.
• Provide tools and abstractions for analytics, recommendations and ML.
• Develop data orchestration and streaming pipelines.
• Collaborate with product teams to build reusable data resources and patterns.

Conocimientos

Data engineering

Distributed processing

AWS / cloud

PySpark

Data pipelines

AI tools

Ownership

Herramientas

AWS

PySpark

Docker

ECS

RDS

Descripción del empleo

Bookboost is seeking a Data Engineer to design and build scalable data pipelines and the data infrastructure powering our frontend, analytics, and ML pipelines. You will own the data platform and collaborate with product and engineering to deliver end-to-end ingestion, transformation, and storage at large scale.

Join a team that values ownership, creative problem solving, and a modern AI-driven data stack, with remote-friendly and hub-based working options in a hybrid setup.