Analytics and Audit Engineer | Analytics and Audit Engineer (m/w/d) – Revision Analyse

Dirk Rossmann GmbH

Burgwedel, Niedersachsen, Deutschland
Published Feb 27, 2026
Full-time
No information

Job Summary

As an Analytics and Audit Engineer at Rossmann's headquarters, you will serve as the technical architect for a data-driven auditing landscape. Your primary responsibility is building and optimizing the data infrastructure required to proactively identify risks, anomalies, and fraud across the company. You will manage the entire data value chain, from identifying relevant sources in ERP and merchandise management systems to designing scalable data pipelines and modeling robust data products. By bridging the gap between IT infrastructure and the audit department, you will automate recurring analysis processes using Python and SQL and ensure data integrity through rigorous testing and documentation. This role is ideal for a technical professional who views data as a product and enjoys creating high-performance environments for business analysts. The position offers a modern work-life balance with 50% remote work options, a 37.5-hour work week, and comprehensive corporate benefits within a stable family-owned enterprise.

Required Skills

Education

Completed degree in (Business) Informatics, Data Science, Statistics, Industrial Engineering, or a comparable qualification with a strong technical focus.

Experience

  • At least 3 years of professional experience as an Analytics Engineer, Data Engineer, or in a comparable technical data role
  • Proven experience in building and managing data pipelines and value chains
  • Extensive experience in transforming raw data from ERP and retail systems into analysis-ready datasets
  • Professional experience in automating analysis processes and ensuring data integrity through documentation

Languages

German (Fluent)English (Basic)

Additional

  • Location: Burgwedel (near Hanover). Hybrid work model (50% mobile work). 37.5-hour work week. Requires the ability to translate business requirements into sustainable technical data solutions.