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