We’re Growing Our Data Dream Team

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.

Here’s the deal:
- 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.

Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen

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.
- At least4 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 points for experience with Databricks, Snowflake, or Fabric.
- 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.
- Salary determined by the market and your experience
- Flexible schedule 35 Hours / Week
- Fully remote work (optional)
- Adaptable compensat

📌 Data Engineer (España)
🏢 Plain Concepts Group
📍 España