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Data Engineer (m/f/d)

Alpitronic

Bolzano

In loco

EUR 35.000 - 55.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

Alpitronic is looking for a Data Engineer (m/f/d) who will design and maintain scalable data pipelines, develop APIs using Python, and ensure data quality within a dynamic team environment focused on e-mobility. This full-time role involves collaboration with data scientists and offers ample opportunities for personal growth and contributions in a tech-driven workplace.

Servizi

Innovative work environment
Opportunities for advancement
Further training opportunities
Attractive bonus system
Additional company benefits

Competenze

  • Bachelor's or master's in Computer Science/Data Engineering.
  • Experience in Data Engineering required.
  • Fluent in English; Italian and/or German is a plus.

Mansioni

  • Design and maintain scalable data pipelines and ETL processes.
  • Develop APIs using Python for data integration.
  • Ensure data quality and security.

Conoscenze

Python
ETL development
Data modeling
APIs
NoSQL databases
Data quality

Formazione

Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field

Strumenti

AWS
Docker
Kubernetes
Apache Kafka
MongoDB
PySpark

Descrizione del lavoro

Join to apply for the Data Engineer (m/f/d) role at Alpitronic

Join to apply for the Data Engineer (m/f/d) role at Alpitronic

  • Design and maintain scalable data pipelines and ETL processes
  • Develop APIs using Python (e. g. FastAPI) for data access and integration
  • Ensure data quality, performance optimisation and security
  • Knowledge in NoSQL-based databases
  • Collaborate with data scientists and analysts to enable data-driven decisions
  • Maintain and document data architecture and best practices


Your Responsibilities

  • Design and maintain scalable data pipelines and ETL processes
  • Develop APIs using Python (e. g. FastAPI) for data access and integration
  • Ensure data quality, performance optimisation and security
  • Knowledge in NoSQL-based databases
  • Collaborate with data scientists and analysts to enable data-driven decisions
  • Maintain and document data architecture and best practices


Your Qualifications & Skills

  • Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field
  • Previous experience in Data Engineering
  • Proficiency in Python inc. API and ETL development, and advanced SQL
  • Experience of cloud-based data platforms, preferably AWS
  • Knowledge of data modelling, pipeline development, and data warehousing
  • Experience in [Py]Spark, MongoDB, Apache Kafka or other NoSQL’s, are a plus
  • Familiarity with DevOps practices, CI/CD pipelines, and containerisation (Docker, Kubernetes)
  • Fluency in English; Italian and/or German are a plus

OUR COMMITMENT

  • Innovative work environment in a young, dynamic team
  • High-tech projects in the future-proof sector of e-mobility
  • Opportunities for advancement in a growing company
  • A wide range of further training opportunities
  • Attractive bonus system and performance-related pay
  • Additional company benefits

WHY ALPITRONIC

Together with our customers, we are driving the world towards sustainable mobility – with cutting-edge technology, we inspire with the most innovative and reliable solutions. With our roots in South Tyrol, we are market and innovation leaders and set the future charging infrastructure standards from our locations in Bolzano/Bozen, Bergamo, Bologna, Munich and Charlotte (USA).

WHAT MAKES WORKING FOR US SPECIAL

We are excited to meet individuals who are enthusiastic about making things happen, take personal responsibility and appreciate seeing the direct results of their work in the final product. We are a fast-growing company and offer our top teams a diverse and challenging range of tasks in a respectful corporate culture. Your contributions matter, are appreciated and have a significant impact! Join us and be part of our team!
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Appliances, Electrical, and Electronics Manufacturing

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