Staff Data Platform Engineer (IT) / Freelance

Job summary

The Staff Data Platform Engineer role focuses on enhancing the engineering excellence of a Data Platform within a mature Data Mesh organization. Key responsibilities include optimizing Data pipeline lifecycles, standardizing development practices, integrating generative AI tools, and contributing to CI/CD standards while ensuring data quality and compliance with GDPR.

Qualifications

• Significant experience in Data Engineering / Data Platform with a strong software engineering culture
• Ability to take a high-level view of architectures while remaining pragmatic
• Strong focus on Developer Experience/internal user orientation
• Innovative mindset with the ability to challenge the status quo
• Pragmatic and capable of working with legacy systems
• Excellent communication and facilitation skills
• Passion for sharing and leading technical communities
• Ability to work in an international and matrixed environment
• Strong interest in AI and its application in Data Engineering

Responsibilities

• Optimize Data pipeline lifecycles from local development to production
• Design and standardize paved paths for efficient Data development and deployment
• Develop and share components, templates, and tools for Data Engineers
• Contribute to CI/CD, testing, observability, and quality standards
• Promote software engineering best practices within the Data community
• Integrate generative AI tools into daily Data Engineering practices
• Identify and develop use cases to enhance team productivity
• Participate in building an AI Toolkit for Data Engineering needs
• Support the evolution towards AI-augmented Data engineering practices
• Design frameworks and patterns for quality, maintainability, and reliability of pipelines
• Establish feedback loops, observability, data quality, and data contracts
• Contribute to the progressive evolution and modernization of Data architecture
• Challenge existing practices and architectures for improvement opportunities
• Support the transition to Open Lakehouse architectures and modern Data models
• Address FinOps, security, and GDPR by design
• Represent Data Engineering community needs to the Platform team
• Facilitate alignment between local practices and global engineering standards
• Advise teams responsible for the technical foundation of the platform
• Encourage knowledge sharing and initiative pooling within the Data community
• Collaborate with international teams in a matrix environment

Skills

Relocation