Remote Data Engineering Leader — AI-Powered Pipelines

F-Prime Capital; Madrid; Presencial; EUR 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible time off

Alan Flex benefits: 160€/month

Flexible tax-free payroll deductions

ClassPass subscription

Health insurance

Impactful work: 85,000+ users

Referral bonuses

Descripción de la vacante

Lighthouse is seeking a Data Engineering Manager to lead an engineering team that owns end-to-end data domains within a large-scale ingestion and transformation platform. You will unify hospitality data into a semantic layer, build and maintain complex pipelines, and translate your team's work into real-world applications that power hotels globally.

You will drive architecture, foster a culture of technical excellence, and champion AI-driven development while collaborating across product,

Formación

• Proven experience leading engineering teams in data platforms.
• Strong background in ETL/ELT, batch and streaming pipelines.
• Hands-on with Python and cloud data technologies (GCP, BigQuery).

Responsabilidades

• Lead an engineering team owning data domains within large-scale ingestion and transformation engine.
• Drive architecture, design, and scaling of streaming and batch data pipelines.
• Collaborate with product, engineering, and business teams to ship data products.

Conocimientos

Team leadership

Data engineering

ETL/ELT

Data pipelines

Python

GCP / cloud data

BigQuery / Spanner

Kafka / Pub/Sub

Communication

English proficiency

Herramientas

Python

Google Cloud Platform (GCP)

BigQuery

Spanner

Pub/Sub

Kafka

Kubernetes

Descripción del empleo

Lighthouse is seeking a Data Engineering Manager to lead an engineering team that owns end-to-end data domains within a large-scale ingestion and transformation platform. You will unify hospitality data into a semantic layer, build and maintain complex pipelines, and translate your team's work into real-world applications that power hotels globally.

You will drive architecture, foster a culture of technical excellence, and champion AI-driven development while collaborating across product,