DataOps Engineer

• Design and implement scalable, high-performing data pipelines
• Optimize data architecture
• Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies
• Collaborate across teams to understand and support data needs
• Ensure data architecture supports ongoing and future initiatives
• Apply CI/CD practices in Data Analytics projects
• Continuously optimize performance, scalability, and security in data systems

• 4+ years of experience in data engineering, software development, or related fields
• Experience ingesting and processing large datasets
• Hands-on experience with Azure or other public cloud platforms
• Working knowledge of Databricks or Apache Spark
• Proficiency in Big Data technologies such as Kafka or Flink
• SQL skills for analytics
• Proficiency in at least one programming language such as Python, Scala, or Java
• Motivation to learn and apply best practices for cloud-native systems and distributed architecture

• Comprehensive onboarding program and welcome days
• Urban Sports Club membership (M package)
• Quick, professional, anonymous and free psychological support from nilo
• Individual work location arrangements, including up to 20 days per year anywhere in the EU
• Individual development support through internal and external training