Senior Data Engineer

Hace 9 horas

huelva, andalucía, España Plain Concepts Group Jornada completa
We're Growing Our Data Dream Team

Titles? Meh, we're not big on them, but let's call this one Data Engineer .

As part of our international Data squad, you'll craft tailor‑made solutions that wow our clients. We're hunting for a passionate Data Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that's just the beginning.

  • You'll tackle the unique challenges of Data‑powered software alongside a team of brilliant minds
  • You'll dive into cutting‑edge projects using the latest tech to push boundaries and make an impact
  • Whether you prefer working from home or vibing with us at our offices, the choice is yours
  • AGILE isn't just a buzzword here — it's how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check
You will be responsible for:
  • Participating in the design and development of Data solutions for challenging projects
  • Develop projects from scratch with minimal supervision and strong team collaboration
  • Be a key player in fostering 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
Requirements
  • At least 4 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)
  • Experience working with Snowflake.
  • Hands‑on experience building data pipelines (CI/CD)
  • Experience with testing (unit, integration, etc.)
  • Experience with DBT (Data Build Tool) for data transformation and modelling. Implement data transformation workflows using DBT (core/cloud)
  • Bonus points for experience with IaC (Infrastructure as Code)
  • Knowledge of SQL and NoSQL databases
  • Bonus points if you speak fluent English.
  • A strong team player mindset
Benefits
  • Salary determined by the market and your experience
  • Flexible schedule 35 Hours / Week
  • Fully remote work (optional)
  • Flexible compensation (restaurant, transport, and childcare)
  • Fully free health insurance, with a co‑