DataOps Engineer - Cloud Data & AI | Cologne (Hybrid)

Redcare Pharmacy; United States; Hybrid; USD 96,000 - 114,000; Full time

Job summary

Redcare Pharmacy is seeking a DataOps Engineer for a permanent, full-time role based in Cologne, Germany. You will operate within a Cloud Data & AI DevSecOps area to support data engineering pipelines and analytics services.

As an expert-level individual contributor, you will collaborate with IT, analytics, and pharmaceutical stakeholders, ensure data quality, governance, and scalable data assets, and apply cloud-native practices.

Qualifications

• 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.

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.

Skills

Data engineering

Data pipelines

DevSecOps data

BI analytics

Job description

Redcare Pharmacy is seeking a DataOps Engineer for a permanent, full-time role based in Cologne, Germany. You will operate within a Cloud Data & AI DevSecOps area to support data engineering pipelines and analytics services.

As an expert-level individual contributor, you will collaborate with IT, analytics, and pharmaceutical stakeholders, ensure data quality, governance, and scalable data assets, and apply cloud-native practices.