Databricks Academy

• Qualification or training: Degree in Computer Engineering, Data Science, Telecommunications, Mathematics, or Vocational Training (DAM, DAW, or ASIR).
• Programming: Knowledge of Python and/or Scala.
• Databases: Knowledge of SQL for data querying and transformation.
• Data concepts: Understanding of data architecture, pipelines, or ETL/ELT processes.

• Notions of cloud platforms such as Azure, AWS, or Google Cloud.
• Basic knowledge or experience in distributed data processing with Apache Spark (PySpark or Scala Spark).
• Knowledge of Git and version control.
• Use of artificial intelligence assistants as support for development, documentation, and error resolution.
• Technical English level. A B2 level will be valued for international projects.

1. A diverse team. We respect the differences that make us more human. 💜
2. Comradeship. We work in teams and learn from one another.
3. Flexibility and work-life balance. Remote work is in our DNA. We promote flexible hours, and we have intensive working days on Fridays and during the months of July and August. 🙌
4. Continuous learning. Training in languages, technical skills, certifications, etc.
5. Individualized career path, so that you are the one who decides how far you want to go. 🚀
6. Autonomy and the possibility to propose and promote new opportunities.
7. Flexible benefits program. Childcare, restaurant, transport, and medical insurance vouchers.
8. Exclusive discounts and special conditions on technology, leisure, travel, etc. 🌟
9. You will be able to take part in solidarity and environmentally related initiatives.
10. If you have international interests, we are in 45 countries. 🌍

We are not going to promise to turn you into a "Data Jedi" like others. We don't need you to move datasets with your mind, nor do we need the force to accompany you against the dark side of legacy Scala code.

But we do want to announce something that we are particularly excited about: we are launching our Academy focused on Databricks, an initiative by SEIDOR to incorporate talent, train them from the ground up, and accompany them in real projects.

Databricks has established itself as one of the benchmark platforms for addressing the data and AI lifecycle, integrating engineering, analytics, governance, and artificial intelligence on a single base.

Those who join will be able to develop their careers in Data & IA, participate in strategic initiatives, and grow alongside an expert team, with the support of Joseba Herrera, Pablo Martín, and Virginia Carrion.

• Train alongside professional experts in Data & IA projects
• Our proposal is clear: learning by doing, with top-tier technology, real cases, and the support of experienced professionals.