Das ist der Job
Of course, the remuneration package is market‑compliant.
Darum lohnt es sich
DevOps Specialist / Data Engineer (all genders) - Data & Analytics Location: Vienna Your Tasks Collaborate with data engineers, scientists, and product owners to build group-wide data, ML, GenAI, and BI solutions Design, build, and operate data pipelines on Databricks using Python and Lakeflow (Pipelines, Jobs/Workflows) Use Azure Data Factory and Azure services for data ingestion, orchestration, and backend integration Implement and operate CI/CD pipelines, infrastructure automation, and environment management Standardize and improve release, deployment, and operations across DataOps, MLOps, LLMOps, and DevOps Ensure monitoring, logging, security, access control, and cost/performance optimization in production Your Benefits 37,5 Working Hours, Flexi Time & Home-Office Learning & Development Life Balance & Family Specials Modern Workspace & Canteen Health & Sports Offers More Benefits Your Profile Degree in Computer Science, Data/Cloud Engineering, or comparable practical experience 3+ years of experience in DevOps, cloud, platform, or data engineering with a focus on production‑grade data solutions Strong expertise in Databricks (Python, Spark, Lakehouse) and building and operating data pipelines Experience with Azure DevOps, Git, CI/CD, infrastructure automation, as well as Azure services including Data Factory and BI tools (Power BI, Fabric) DataOps mindset with focus on testing, versioning, observability, and reliable operations Excellent communication & teamwork, independent and solution‑oriented working style, very good English; German is a plus Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR3,668.49 gross on the basis of full‑time employment (37,5 hours / week).
It is important to us that your salary is based on your qualifications and experience, therefore we will discuss the salary together in a personal interview. #J-18808-Ljbffr
