TL;DR

Senior Data Engineer (Data Engineering): Design, build, and maintain scalable data platforms and solutions tailored to business needs with an accent on optimizing data workflows, performance, and reliability. Focus on applying innovative solutions to complex challenges using modern data technologies and cloud platforms.

Location: Hybrid in Vienna, Graz, Linz (Austria) or Berlin (Germany).

Salary: From €3,843 gross monthly.

Company

%hirify_global% is a leading software and digital engineering services company with global market reach and capabilities.

What you will do

Design, build, and maintain scalable data platforms and solutions.
Collaborate with stakeholders to understand requirements and deliver data initiatives.
Optimize and monitor data workflows for performance, scalability, and reliability.
Stay current with the latest data technologies and apply innovative solutions.

Requirements

Minimum 3 years of experience in designing and implementing data solutions, platforms, and interfaces.
Proficient in data modeling (dimensional modeling, (de-)normalization).
Hands-on experience with modern data technologies, cloud platforms, big data tools, and data warehousing.
Knowledge of software development, CI/CD pipelines, and Git.
Experience with cloud-based data platforms, Medallion architecture, Azure Data Factory, Databricks, and/or Microsoft Fabric.
Excellent communication skills for explaining technical concepts.
Fluency in German (C1 level) and English for stakeholder discussions.

Nice to have

Valid certifications in Databricks, Microsoft Fabric, and MS Azure.

Culture & Benefits

Professional growth, meaningful projects, and an open culture.
Outstanding work-life balance with a flexible hybrid work model.
Benefits include laptop and smartphone for private use, health programs, and team events.
Excellent public transport connection, food vouchers, and contribution to the Austrian “KlimaTicket”.
Opportunities for continuous learning and development.