Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 70.000 € gross/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design scalable data pipelines and lakehouse architectures on Azure Databricks to optimize Machine Learning workflows and automate business processes for increased efficiency.
Job Technologies
Your role in the team
- Design, build, and operate scalable data pipelines and lakehouse architectures on Azure Databricks (Delta Lake, Unity Catalog) for structured and unstructured data.
- Develop data models and pipelines for Machine Learning and Generative AI and collaborate with data scientists to operationalize ML workflows.
- Build RAG-based architectures, embedding pipelines, and vector search on Databricks, including Genie and similar AI-driven data access layers, to power business-facing services.
- Automate recurring business processes by connecting enterprise systems (ERP, CRM, production databases) via orchestration tools (n8n, Power Automate, or comparable), embedding AI-driven decision logic where it adds value.
- Design and operate LLM-based components and agentic workflows where automation requires reasoning over unstructured data or documents.
- Work with business stakeholders to capture requirements, assess automation potential (effort vs. impact), and prioritize high-impact, cost-efficient use cases.
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Our expectations of you
Education
- Ability to translate business processes into scalable solutions with a strong grasp of data governance and compliance; degree in Computer Science, Data Engineering, or related field; German B1 minimum and fluent English.
Experience
- 5+ years in data engineering and workflow automation.
- Strong hands-on expertise with Databricks (Delta Lake, Spark, Unity Catalog, workflows, medallion architecture, lakehouse design); Genie experience a plus.
- Proven experience automating business processes with orchestration/integration platforms (like n8n, Power Automate, Camunda, RPA or similar BPA platforms), including connecting APIs and enterprise systems.
- Experience building ML pipelines plus practical exposure to embeddings, vector databases, and RAG; agentic frameworks (like LangChain/LangGraph) a plus.
- Strong Python proficiency; experience with Databricks on Azure (preferred), data services, and CI/CD pipelines; Microsoft Power Platform, Microsoft Fabric and Copilot Studio a plus.
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What we offer
- The minimum salary for a full-time position is EUR 70,000 (gross annual salary all-in). However, we are of course willing to provide overpayment based on prior qualifications and experience!
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Benefits
Health, Fitness & Fun
- ⚽️Tabletop Soccer, etc.
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🙂Health Care Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Post AG
Wien, Wien
We are a modern logistics company with highly-advanced infrastructure and numerous digital offerings and services. We transport letters, advertising mailings, and packages; we provide both analogue and digital advertising, e-commerce, business process solutions, and also banking and telecommunications services at our post office locations.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1999
- Language
- German
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
Employer reviews
by devworkplaces.com
Total
(4 Reviews)3.8
Engineering
3.1Workingconditions
4.3Career Growth
4.0Culture
3.9
Senior AI Data Engineer
- Salary
- from 70.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 46.429 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
