Data Engineer (m/f/d) – Databricks, BI Solutions

TechnoAlpin Holding SpA; Bolzano; On-site; EUR 24,000 - 30,000; Full time

Job summary

TechnoAlpin Holding SpA in Bolzano, Italy, is seeking a Data Engineer (m/f/d) to strengthen our BI team. You will build and maintain data pipelines, design data models, and ensure secure, high-quality data for analysis, reporting, and AI applications.

The role requires Databricks experience, strong SQL and Python skills, and the ability to collaborate across international teams in a dynamic data platform environment.

Qualifications

• Vocational training or a degree in computer science, business informatics, data science, data engineering or a comparable field.
• Professional experience in data engineering, including experience in designing and implementing complex data architectures.
• Strong knowledge of SQL and Python.
• Experience with Databricks and the latest AI tools.
• Excellent communication and teamwork skills, including in an international environment.

Responsibilities

• Developing, implementing and maintaining data pipelines and ETL processes in Databricks.
• Designing and optimising databases using SQL and Python.
• Integrating and managing data from different sources.
• Working with various teams to analyse and implement data-driven requirements.
• Complying with data protection regulations and internal compliance requirements.
• Supporting the further development of our Data Platform.

Skills

SQL

Python

Databricks

Data pipelines

Data modeling

Education

Bachelor’s or equivalent in computer science / data-related field

Tools

Databricks

SQL

Python

Job description

Data Engineer (m/f/d) – Databricks, BI Solutions

To strengthen our Business Intelligence department at TechnoAlpin, we are looking for a technically skilled, structured and curious professional to actively help shape and further develop our central Data Platform.
In this role, you will ensure that data from a wide range of sources is transferred to our Data Platform reliably, in a structured format and ready for use. You will develop data pipelines, design data models, build new data products and ensure that data is available securely, traceably and to a high standard of quality for analysis, reporting, AI applications and operational processes.

Your responsibilities

• Developing, implementing and maintaining data pipelines and ETL processes in Databricks
• Designing and optimising databases using SQL and Python
• Integrating and managing data from different sources
• Working with various teams to analyse and implement data-driven requirements
• Complying with data protection regulations and internal compliance requirements
• Supporting the further development of our Data Platform
• Vocational training or a degree in computer science, business informatics, data science, data engineering or a comparable field
• Professional experience in data engineering, including experience in designing and implementing complex data architectures
• Strong knowledge of SQL and Python
• Experience with modern data-platform technologies, ideally Databricks and the latest AI tools
• Strong analytical thinking, a high level of personal responsibility and excellent communication and teamwork skills, including in an international environment

What you can expect

• A dynamic working environment with room for your own ideas, decision-making and personal development
• Close collaboration with various departments and international teams
• The opportunity to use and further develop a modern Data Platform that is continuously enhanced with new technologies and AI features in order to continuously increase the value and usability of data throughout the company

Compensation

The intended starting salary for this position is based on the applicable minimum salary under the CCNL Metalmeccanico Industria collective agreement and currently amounts to at least €26,843.44 gross per year.
We offer our employees market-based compensation above the minimum level stipulated by the collective agreement. The actual compensation will be determined based on objective and gender-neutral criteria, particularly qualifications, relevant professional experience, technical expertise and the scope of responsibility assumed.