Senior Real-Time Data Engineer (f/m/d)

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)

We believe great work happens when people feel supported, inspired, and balanced. By supporting our employees, we create an environment where everyone thrives and reaches their full potential. That’s why we provide:

• Flexible working hours and a hybrid model that fit your lifestyle, backed by a strong culture of work-life balance
• A dedicated training budget to explore new skills, deepen your expertise, and shape your career journey
• A welcoming office atmosphere at our Vienna HQ with daily fresh fruit, a wide range of teas, fair-trade coffee, and meals at our company-subsidized restaurant
• Subsidized public transportation, plus access to pool e-bikes and e-cars — for both business and personal use
• Plenty of ways to stay active and connected, from our on-site fitness room and MyClubs app points to regular sports and company events
• Attractive local employee discounts and healthcare benefits that make everyday life a little easier
• 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