Senior 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
• Streamline development and deployment processes
• Continuously optimize performance, scalability, and security in data systems

• 5+ years of experience in data engineering, software development, or related fields
• Expertise in ingesting and processing large datasets
• Hands-on experience with Azure public cloud platforms
• Working knowledge of Databricks or Apache Spark
• Skills in Big Data technologies such as Kafka and Flink
• SQL for analytics
• Proficiency in at least one programming language such as Python, Scala, or Java
• Working experience with GitHub and DevOps
• 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
• Anonymous and free professional psychological support from nilo
• Flexible work-from-home arrangement, including up to 20 days per year anywhere in the EU
• Individual development support through internal and external training