Data Engineer

Goglobal; Jerez de la Frontera; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A fast-growing B2B travel and technology company is seeking a Data Engineer to join their R&D team. You will design and optimize data pipelines, ensuring data integrity to empower data-driven decisions. This is a full-time role based in Spain with hybrid options available.

Servicios

Competitive salary & bonuses

Flexible working hours

Remote options available

Learning opportunities and certifications

Formación

• 3+ years in Data Engineering or similar roles.
• Strong skills in Python and SQL.
• Experience with cloud platforms and modern data stacks.

Responsabilidades

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

Conocimientos

Python

SQL

AWS

GCP

Data Engineering

Cloud Platforms

Herramientas

Airflow

dbt

Snowflake

Redshift

BigQuery

Spark

Kafka

Docker

CI/CD

Terraform

Descripción del empleo

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Who We Are :

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

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

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