Junior Data Engineer: Build Data Pipelines & AI Solutions

Austria Technologie & Systemtechnik AG; Leoben; Vor Ort; EUR 40.000 - 56.000; Vollzeit

Benefits dieser Stelle

Growth opportunities

Onboarding program

Modern canteen

Free parking

E-charging stations

Health benefits

Zusammenfassung

AT&S Austria Technologie & Systemtechnik AG in Leoben, Austria, seeks a Data Engineer Junior to support development of data solutions enabling reliable processing and analytics. You will work closely with technical and business teams to drive data-driven decisions and AI initiatives across the organization.

The role involves building and maintaining data pipelines, improving data quality, and collaborating with stakeholders to enable data insights and scalable analytics.

Qualifikationen

• Higher Technical College (HTL) with IT focus or equivalent
• Bachelor's degree or comparable qualification
• Basic programming skills in Python/Java/C#
• Basic SQL and relational database knowledge
• Understanding of data engineering concepts and ETL/ELT
• Interest in data analytics and AI technologies
• Analytical mindset and structured problem solving
• Good English; German is a plus

Aufgaben

• Develop and maintain data pipelines
• Assist in managing and optimizing databases and data solutions
• Collaborate with data engineers, analysts and business stakeholders
• Monitor and improve data quality and data availability
• Support troubleshooting of data-related issues
• Contribute to data governance and security standards
• Prepare and integrate data for analytics and AI applications
• Participate in digitalization and AI initiatives

Kenntnisse

Python

Java

C#

SQL

ETL/ELT

Data analytics

AI interest

Ausbildung

HTL IT focus

Bachelor's degree

Comparable qualification

Tools

SQL databases

ETL tools

Jobbeschreibung

AT&S Austria Technologie & Systemtechnik AG in Leoben, Austria, seeks a Data Engineer Junior to support development of data solutions enabling reliable processing and analytics. You will work closely with technical and business teams to drive data-driven decisions and AI initiatives across the organization.

The role involves building and maintaining data pipelines, improving data quality, and collaborating with stakeholders to enable data insights and scalable analytics.