INTERN DATA ENGINEER, MADRID
Descripción de la oferta de empleo
Workload: 50 -100 (part-time or full time /6 months)
Axpos Group IT is on a mission to become the leading IT organization in the European energy sector. As a Data Engineering Intern, youll work with cutting-edge tools like Databricks and Azure Data Factory, contributing to real-world projects that power our analytics. Build your career while making an impact!
What you will do:
- Assist in designing, building, and maintaining data pipelines using Databricks.
- Support the development of ETL processes for consistent and accurate data across the data lakehouse.
- Collaborate with BI engineers to structure data for reporting and analytics.
- Learn to optimize data workflows for performance, scalability, and reliability.
- Troubleshoot and resolve basic issues in data pipelines and infrastructure under supervision.
- Align data engineering efforts with business objectives within an agile Scrum team.
What you bring who you are:
- Analytical mindset with a background in engineering, mathematics, business, or a related field.
- Passion for building robust data infrastructure to support analytics and reporting.
- Familiarity with Python, SQL, or similar programming languages.
- Basic experience with Pandas PySpark knowledge is a plus.
- Eagerness to learn about Databricks and Azure Data Factory for pipeline development.
- Fluent in English German is a plus.
- Strong communication skills, ready to work collaboratively in formal and informal settings.
About the team:
Join a collaborative and innovative team at Axpos Group IT! Youll work with experienced professionals in a supportive environment where learning and growth are prioritized. Together, well tackle exciting data challenges, shape our data-driven goals, and help you build a strong foundation for your professional future
Department IT / Technology Role Apprenticeship Locations Madrid Remote status Hybrid
ETL, Databricks, Python, SQL,
ETL, Databricks, Python, SQL,
Detalles de la oferta
- Axpo Group
- Sin especificar
- 21/07/2025
- 27/02/2026
Hadoop, spark, power bi informática certificaciones / cursos: se valorarán acreditaciones y cursos en los requisitos demandados requisitos del puestoexperiencia laboral áreas: business intelligence (bi) / transformación digital / big data / it data processing/ analítica de datos- data science años experiencia......
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