Level: Erfahren

Job Feld: IT, Data, DevOps

Anstellung: Vollzeit

Vertragsart: Unbefristetes Dienstverhältnis

Ort: Wien

Arbeitsmodell: Hybrid, Onsite

Job Zusammenfassung

In dieser Rolle entwickelst du robuste Datenpipelines mit Azure Data Factory und Databricks, implementierst innovative Azure-Funktionen, automatisierst Deployments und prüfst rigoros die Datenqualität und -sicherheit.

Job Technologien

Deine Rolle im Team

We digitize decisions with data—would you like to get involved?
We shape our customers' data-driven future with scalable, secure, and automated Azure platforms.
As a Azure Data Engineer - Agentic AI Platform, you will be responsible for complex data pipelines: from zero-ETL replication of operational data (mirroring) to Delta Lake-based lakehouses.
Our vision: self-service data access for all departments, supported by DataOps and governance.
Planning, development, and maintenance of robust batch and streaming pipelines with Azure Data Factory, MS Fabric and Databricks.
Integration of new Azure features such as mirroring (zero ETL), Delta Live Tables, and Unity Catalog for centralized governance.
Automation of deployments and testing using CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code (Bicep/Terraform).
Ensuring data quality, lineage, and security—using Microsoft Purview and role-based access control.
Collaborating with data scientists, product owners, and customers to translate requirements into scalable data solutions.
Evaluating new services such as Lakeflow or Microsoft Fabric for productive use.

Unsere Erwartungen an dich

Qualifikationen

Knowledge of CI/CD and DevOps processes as well as cloud security and governance.
Solution-oriented thinking, strong communication skills, and willingness to learn new things.
Very good German and good English skills.

Erfahrung

2–5 years of experience in data engineering, preferably with Azure Data Services (Data Factory, Databricks, MS Fabric).
Very good SQL and Python skills; experience with Delta Lake, streaming (Event Hubs, Kafka), and data modeling.

Unser Angebot

Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Austria).
State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors.
Targeted further training: Working hours for training, certifications, and mentoring.
Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts.
Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us.
Real influence: You can help shape technology decisions and contribute your ideas directly to product roadmaps.