Salary up to €100,000
Location: Braunschweig

One of the largest clothing retailers in Europe is looking for a Senior DataOps Engineer . They have over 1,000 stores across Europe & Asia, grossed +€4 billion last year and are looking to continue their success with you.

The position:

• Collaborate with data engineering and platform teams to maintain, operate, and improve data infrastructure on an on-prem Cloudera cluster .
• Monitor and operate key data science pipelines relying on Apache Spark .
• Analyse runtime behaviour , including resource usage and error rates in distributed systems.
• Maintain operating systems , proactively monitor the cluster , and resolve outages and hardware issues .
• Install and manage software environments required by the data science team .
• Support network optimization and collaborate with infrastructure and datacenter teams .
• Drive the implementation of a logging and monitoring strategy to ensure pipeline transparency and performance.
• Define and enforce HDFS usage policies , including retention , block size monitoring , and avoiding over-partitioning .
• Manage and monitor Impala databases and tables .
• Actively participate in code reviews , team mentoring , and regular feedback exchanges .

Experience:

• 5+ years of experience in a DevOps , DataOps , SRE , or similar data infrastructure role .
• Strong foundation in software development and automation , with experience in Python , Bash , or similar scripting languages.
• Experience working with big data technologies like Hadoop , HDFS , Impala , Hive , Kafka , Airflow , or NiFi .
• Familiarity with cluster orchestration and monitoring tools such as Kubernetes , Prometheus , Grafana , or Cloudera Manager .
• Comfortable with Linux-based systems , version control, and CI/CD practices .
• Solid understanding of distributed systems , relational databases , and data modeling

Benefits and Details:

• Up to €100,000 Salary
• Modern Braunschweig office with cafeteria (relocation supported)
• Annual contribution to capital-forming schemes (pension, savings, etc.)
• 2 Stage Interview Process
• Individual progression plan with allocated learning and development budget
• 30 Vacation Days
• Employee Discounts on company products

For more information, apply or contact Norman Cistovas