Level: Experienced

Job Field: IT, Data, DevOps

Employment Type: Full Time

Contract Type: Permanent employment

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop robust data pipelines using Azure Data Factory and Databricks, implement innovative Azure features, automate deployments, and rigorously verify data quality and security.

Job Technologies

Your role in the 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.
Zusammenarbeit mit Data Scientists, Product Owners und Kunden, um Anforderungen in skalierbare Datenlösungen zu übersetzen.
Evaluating new services such as Lakeflow or Microsoft Fabric for productive use.

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Our expectations of you

Qualifications

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.

Experience

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.

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What we offer

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.