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 adaptable work from home or in-office, with a strong emphasis on practical impact and continuous learning.
Compensaciones / Beneficios Flexible schedule
Fully remote work (optional)
Flexible 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 (Bilbao)
🏢 Plain Concepts
📍 Bilbao