Overview

In this Data Engineer role, you will design and build data solutions within our international data squad, delivering impactful, scalable pipelines. You collaborate across multidisciplinary teams in an AGILE environment, taking ownership from design to deployment. You’ll work on cutting-edge data-powered projects using modern tech to advance client solutions. This role offers flexible work from home or in-office, with a strong emphasis on practical impact and continuous learning.

Compensaciones / Beneficios

- Flexible schedule
- Fully remote work (optional)
- Adaptable compensation (restaurant, transport, childcare)
- Health insurance with dental co-payment
- Training budget and Microsoft certifications
- English lessons

Responsabilidades

- Participate in design and development of data solutions for challenging projects
- Develop projects from scratch with strong team collaboration
- Promote best practices, clean and reusable code
- Build ETLs using Spark (Python/Scala)




- Work on cloud-based projects (Azure/AWS)
- Build scalable data pipelines using various technologies
- Contribute to CI/CD for data pipelines
- Engage in testing (unit, integration) and data transformation workflows with DBT

Requisitos principales

- 4+ years of data engineering experience
- Proficiency in Python or Scala and Spark for large datasets
- Solid experience with cloud platforms (Azure or AWS)
- Experience with Snowflake
- Hands-on data pipeline development
- Experience with testing (unit, integration)
- Experience with DBT for data transformation and modelling
- DBT core/cloud knowledge
- SQL and NoSQL knowledge
- Fluent English (bonus)
- Strong team player mindset

- team collaboration
- proactive communication
- problem-solving
- Python
- Scala
- Spark

📌 Senior Data Engineer - Plain Concepts (España)
🏢 Plain Concepts
📍 España