Junior Data Engineer: Build Data Pipelines & AI-ready Insights

Mental Health Group; Leoben; On-site; EUR 42,000 - 64,000; Full time

Benefits offered by this job

Onboarding program

Modern canteen

Free parking

E-charging stations

Employee benefits and health measures

Job summary

AT&S Leoben invites a Junior Data Engineer to join a dedicated quality team, supporting data pipelines and analytics initiatives in a global manufacturing environment. You will collaborate with data engineers and stakeholders to improve data quality, contribute to AI projects, and help implement data governance while developing practical data solutions in SQL, Python, and ETL processes.

Gaining early career exposure in an international company with a structured onboarding and training program,

Qualifications

• HTL with IT focus or a comparable degree is required.
• Internships, projects or apprenticeships provide practical exposure.
• Programming basics in Python, Java or C# are expected.
• SQL and relational databases knowledge is required.
• Understanding of ETL/ELT concepts and data engineering basics.
• Interest in analytics, AI and emerging technologies.
• Analytical mindset and structured problem-solving approach.
• Good English; German is a plus.

Responsibilities

• Support development and maintenance of 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 continuous improvement, digitalization and AI initiatives.

Skills

Python

Java

C#

SQL

Relational databases

Data engineering concepts

ETL/ELT

Analytical mindset

English

Education

HTL/IT qualification

Bachelor’s degree

Job description

AT&S Leoben invites a Junior Data Engineer to join a dedicated quality team, supporting data pipelines and analytics initiatives in a global manufacturing environment. You will collaborate with data engineers and stakeholders to improve data quality, contribute to AI projects, and help implement data governance while developing practical data solutions in SQL, Python, and ETL processes.

Gaining early career exposure in an international company with a structured onboarding and training program,