Senior Real-Time Data Engineer

Náplň práce, právomoci a zodpovednosti:

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 enhance our current data landscape which delivers real-time and batch data to support data-driven decisions, 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. 

Your tasks

• Design and implement robust, scalable, and low latency streaming and batch data pipelines using primarily Spark and Kafka with Databricks on Azure
• 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
• Occasionally develop real-time data pipelines using Apache NiFi
• 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 

Zamestnanecké výhody, benefity:

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:​

• ​​Possibility of regular home-office
• Flexible working hours
• Team-buildings
• Language courses
• Meal vouchers (fully paid by employer)
• Fruit, coffee, tea available in the office
• Informal and relaxed work environment
• Supporting your personal and professional development - the opportunities to attend in various trainings, courses, conferences or meetups
• "Refer a friend" benefit - the opportunity to receive a financial bonus when referring a friend for an open vacancy​​

Požiadavky na zamestnanca:

• 3-5 years of data engineering experience building batch and real-time data pipelines 
• 1+ years of hands-on experience with Databricks, ideally in streaming, is essential
• 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/Java for large-scale data engineering tasks 
• Familiarity with the medallion architecture and Spark Declarative Pipelines
• Familiarity with CI/CD workflows for data engineering (Azure DevOps, GitHub Actions, or similar) is an advantage 
• Experience in data governance with Unity Catalog, 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 highly-regulated industries is a nice bonus 
• Fluent English (spoken and written) with excellent communication skills (clear, concise, and audience-aware)