DataOps Engineer (m/f/d)

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

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