DevOps Engineer – Data Platform

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