Our Real-Time Data Engineering team builds low-latency, high-throughput pipelines that power operational and analytical use cases as well as user-facing features. As we expand our ecosystem by integrating Databricks alongside our existing Cloudera infrastructure, this role plays a key part in shaping a modern, scalable data foundation.  

Joining a small, collaborative, and international team, you'll contribute to solutions that enable innovation across the business - all in an environment that values humor, curiosity, continuous learning, and accountability without blame. 

• Primarily design and implement robust, scalable, and low latency streaming and batch data pipelines using Databricks on Azure
• Occasionally develop some real-time data pipelines using Cloudera tools such as NiFi, Kafka, Spark, Kudu, and Impala  
• Collaborate with data scientists, analysts, engineers, product managers and third-party partners to deliver reliable, high-quality data products  
• Contribute to continuous improvements in infrastructure, automation, observability, and deployment practices
• Document as needed and share knowledge with other team members
• Be part of a monthly on-call rotation (1 week per month) to support the stability of our real-time data infrastructure 

• Several years of data engineering experience building batch and real-time data pipelines 
• 3+ years of hands-on experience with Databricks is essential
• Experience developing data pipelines with the Cloudera stack is a plus
• Strong knowledge of the Azure cloud ecosystem, including Azure Data Lake and Azure DevOps
• Proven expertise in real-time data technologies such as Kafka and Spark Structured Streaming, plus solid SQL skills (including query tuning and optimization) 
• Proficiency in Python or Scala for large-scale data engineering tasks 
• Familiarity with the medallion architecture and Delta Lake best practices 
• Familiarity with CI/CD workflows for data engineering (Azure DevOps, GitHub Actions, or similar) is an advantage 
• Knowledge of data governance, schema evolution, and GDPR/data privacy in pipelines is beneficial
• Understanding of observability tools for data pipelines (logging, alerting, metrics) adds value
• Experience in online gaming, entertainment, or e-commerce industries is a nice bonus 
• Fluent English (spoken and written) with excellent communication skills (clear, concise, and audience-aware) 

• Flexible working hours, hybrid work model, and a healthy work-life balance culture
• Training budget to support your personal and professional growth
• Daily fresh fruits, a wide selection of teas, fair trade coffee, and an in-house canteen at our Vienna HQ
• Subsidized public transportation, plus access to pool e-bikes and e-cars for both business and personal use
• On-site fitness room, MyClubs app points, along with fun sport- and company events
• A wide range of local employee discounts, offers, and healthcare benefits
• We are proud to offer a competitive base salary range of 70.000 - 75.000 EUR gross/year (paid in 14 salaries), thoughtfully designed to align with industry standards, taking into consideration the candidate's qualifications, skills, and relevant experience