DataOps Engineer (m/f/d)

Role overview

A permanent, full-time DataOps Engineer role based in Cologne, Germany, within a cloud data and AI engineering organization supporting a pharmaceutical-focused analytics function. The position sits in a Data & AI team and operates as an individual contributor at expert level within IT development and business intelligence. Work is scheduled at 40 hours per week under a permanent employment contract.

Responsibilities

- Operate within the Cloud Data & AI DevSecOps area to support and evolve data engineering pipelines - Apply data engineering expertise to deliver reliable, scalable data services for analytics and business intelligence consumers - Collaborate with internal IT, analytics, and pharmaceutical domain stakeholders on data platform needs - Contribute to data infrastructure improvements aligned with cloud-native practices - Maintain data quality, governance, and operational reliability across deployed data assets

Requirements

- Several years of professional experience as a Data Engineer or DataOps Engineer in cloud environments - Strong proficiency with modern data pipeline, orchestration, and transformation tooling - Working knowledge of DevSecOps principles applied to data platforms - Familiarity with business intelligence consumers and analytics use cases - Comfort working in a permanent, on-site or hybrid model in Cologne

Nice to have

- Background in pharmaceutical or other regulated industries - Exposure to AI/ML data engineering workflows

Benefits and work setup

- Permanent full-time contract, 40 hours per week - Position based in Cologne, Germany, within the Data & AI function - Monthly base pay listed at €8,500, classified at compensation Grade 13 - Indirect labor employment type within IT development and business intelligence