Data Engineering Manager — AI Pipelines Leader (Remote)

The Hotels Network; Madrid; Híbrido; EUR 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible time off

Alan Flex 160€/mo

Tax-free benefits for food/transport/n

Wellbeing ClassPass

Health insurance

Referral bonuses

Descripción de la vacante

Lighthouse is seeking an experienced Data Engineering Manager in Spain to lead a team that owns end-to-end data domains within a large-scale ingestion and transformation engine. You will unify global hospitality data into actionable data products and guide teams to deliver high-quality pipelines powering our platforms.

You will combine strong hands-on data engineering with people management, driving AI-first development and data quality improvements while collaborating with product and

Formación

• Proven experience leading data engineers and delivering end-to-end data pipelines.
• Strong background in ETL/ELT, batch and streaming data processing.
• Hands-on coding with Python and large-scale data processing.
• Deep knowledge of cloud data tools (GCP, BigQuery, Spanner).
• Experience with modern data architectures and AI-assisted workflows.

Responsabilidades

• Lead and mentor a team of data engineers to deliver scalable data platforms.
• Own end-to-end data ingestion, transformation, and data products.
• Drive architecture, design, and performance of data pipelines.
• Collaborate with product and other engineering teams to align data strategy.

Conocimientos

Data Engineering

Team Leadership

ETL/ELT

Python

Cloud Data Platforms

Kafka

Herramientas

Python

GCP

BigQuery

Spanner

Pub/Sub

Kubernetes

Descripción del empleo

Lighthouse is seeking an experienced Data Engineering Manager in Spain to lead a team that owns end-to-end data domains within a large-scale ingestion and transformation engine. You will unify global hospitality data into actionable data products and guide teams to deliver high-quality pipelines powering our platforms.

You will combine strong hands-on data engineering with people management, driving AI-first development and data quality improvements while collaborating with product and