DataOps Engineer

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

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

• Enhance data architecture for improved efficiency.

• Develop and deploy cloud-native solutions utilizing Azure Data Services, Databricks, and other Big Data technologies.

• Collaborate with various teams to comprehend and fulfill data requirements.

• Ensure that the data architecture accommodates current and future initiatives.

• Implement CI/CD methodologies in Data Analytics projects.

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

⛳️ Requirements

• Minimum of 4 years of experience in data engineering, software development, or related domains.

• Proven experience in ingesting and processing large datasets.

• Practical experience with Azure or other public cloud platforms.

• Familiarity with Databricks or Apache Spark.

• Proficient in Big Data technologies such as Kafka or Flink.

• Strong SQL skills for analytics purposes.

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

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

🏝️ Benefits

• Comprehensive onboarding program and welcome days.

• Membership in Urban Sports Club (M package).

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

• Flexible work location arrangements, allowing up to 20 days per year anywhere in the EU.

• Individual development support through both internal and external training opportunities.