DATA ENGINEER

JR Spain; País Vasco; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A fast-growing B2B travel company is looking for an experienced Data Engineer to join their R&D team in Spain, responsible for designing and optimizing data pipelines. The ideal candidate will bring strong Python and SQL skills, along with experience in AWS and GCP, to help drive data-driven decisions. This role offers a competitive salary, flexible working hours, and opportunities for learning and career growth.

Servicios

Competitive salary & bonuses

Flexible working hours and remote options

Dynamic and inclusive workplace

Learning opportunities and certifications

Formación

• 3+ years in Data Engineering or similar roles.
• Strong Python and SQL skills are essential.
• Experience with cloud platforms (AWS, GCP) preferred.

Responsabilidades

• Design and build scalable ETL/ELT pipelines.
• Collaborate with engineers, analysts, and business stakeholders.
• Implement data quality and governance frameworks.

Conocimientos

Python

SQL

AWS

GCP

Airflow

dbt

Snowflake

Redshift

BigQuery

Spark

Kafka

Docker

CI/CD

Terraform

Descripción del empleo

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Go Global Travel Group is a fast-growing B2B travel and technology company, operating across six continents with 30 global offices. We simplify the booking process for our partners with a cutting-edge platform and a strong commitment to service, innovation, and global collaboration. Our multicultural team values diverse backgrounds, unique experiences, and mutual support.

About the Role:

We are looking for an experienced and detail-oriented Data Engineer to join our R&D team. You’ll play a key role in designing and optimizing data pipelines, ensuring data integrity, and empowering data-driven decisions across the organization.

Location: Spain, Italy, Bulgaria, Romania (onsite or hybrid) and Portugal (remote only)

Department: R&D

What You'll Do:

• Design and build scalable ETL/ELT pipelines
• Structure and transform raw data using in-house tools
• Develop and maintain data models, warehouses, and data lakes
• Collaborate with engineers, analysts, and business stakeholders
• Implement data quality and governance frameworks
• Ensure data security, documentation, and compliance

What You Bring:

• 3+ years in Data Engineering or similar roles
• Strong Python and SQL skills
• Experience with cloud platforms (AWS, GCP)
• Proficiency with modern data stacks (Airflow, dbt, Snowflake, Redshift, BigQuery)
• Knowledge of big data tools (Spark, Kafka) and DevOps practices (Docker, CI/CD, Terraform)

Nice to Have:

• Experience with real-time data and ML infrastructure
• Familiarity with GDPR/CCPA and access control standards
• Exposure to BI tools like Looker or Power BI

What We Offer

• Competitive salary & bonuses
• Flexible working hours and remote options
• A dynamic and inclusive workplace
• Learning opportunities and certifications