Overview As a Data Engineer at Plain Concepts, you will design and build data-driven solutions for diverse clients. You'll work in cross-functional, agile teams on challenging projects, taking ownership from conception to deployment. You'll apply modern data tooling to deliver scalable pipelines and robust ETL processes in cloud environments. This role offers remote or office work and opportunities to shape cutting-edge data initiatives in a collaborative, innovation-focused culture.
Compensaciones / Beneficios Versátil schedule
Fully remote work (optional)
Health insurance with dental co-payment
Training budget and Microsoft certifications
English lessons
Birthday day off
Responsabilidades Participate in design and development of data solutions for challenging projects
Develop projects from scratch with minimal supervision and strong team collaboration
Foster best practices, clean and reusable code




Develop ETLs using Spark (Python/Scala)
Work on cloud-based projects (Azure/AWS)
Build scalable pipelines using a variety of technologies
Requisitos principales At least 6 years of experience in data engineering
Strong experience with Python or Scala and Spark, processing large datasets
Solid experience in Cloud platforms (Azure or AWS)
Hands-on experience building data pipelines (CI/CD)
Experience with testing (unit, integration, etc.)
Bonus: Databricks, Snowflake, or Fabric
Bonus: Infrastructure as Code (IaC)
Knowledge of SQL and NoSQL databases
Bonus: fluent English
Strong team player mindset
Team player mindset
Good communication
Adaptability
Spark
Python/Scala
Azure

📌 Data Engineer (León)
🏢 Plain Concepts
📍 León