Senior DataOps Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design and develop scalable, high-performance data pipelines.

• Enhance data architecture for improved efficiency.

• Create and launch cloud-native solutions utilizing Azure Data Services, Databricks, and various Big Data technologies.

• Collaborate with cross-functional teams to identify and address data requirements.

• Ensure that the data architecture is aligned with current and future projects.

• Implement CI/CD practices in Data Analytics initiatives.

• Refine development and deployment workflows.

• Continuously improve performance, scalability, and security of data systems.

⛳️ Requirements

• Over 5 years of experience in data engineering, software development, or related disciplines.

• Proficiency in ingesting and processing extensive datasets.

• Practical experience with Azure public cloud services.

• Familiarity with Databricks or Apache Spark.

• Knowledge of Big Data technologies like Kafka and Flink.

• Proficient in SQL for analytical purposes.

• Strong skills in at least one programming language such as Python, Scala, or Java.

• Experience with GitHub and DevOps practices.

• Eagerness to learn and implement best practices for cloud-native systems and distributed architectures.

🏝️ Benefits

• Comprehensive onboarding program and welcome days.

• Urban Sports Club membership (M) package.

• Access to anonymous and free professional psychological support from nilo.

• Flexible work-from-home policy, including up to 20 days per year in any EU location.

• Individual development support through both internal and external training.