Strong expertise in Data Engineering and scalable data platforms, including cloud-based architectures (Azure preferred)
Deep understanding of modern data engineering practices (e.g. pipeline design, data modeling, orchestration, performance optimization)
Proven track record in defining and scaling engineering standards, patterns, and best practices across teams
Minimum 10+ years of software engineering experience, with strong focus on data engineerin
gDemonstrated leadership in developing engineers and building high-performing teams and communitie
sHands-on experience with Python, Azure Databricks, and modern data toolin
gBachelor’s or master’s degree in computer science, Engineering, or simila
rYou Wil
lWork closely with data engineers, platform teams, architects, analytics and AI teams, and business stakeholders to translate enterprise needs into scalable data solution
sAct as a capability leader and senior sparring partner, mentoring engineers, guiding technical decisions, and raising the overall quality and consistency of data engineerin
gDrive adoption of modern engineering ways of working on Azure-based data platforms, ensuring reliability, performance, security, and operational readiness at scal
eStrengthen the enterprise data foundation that enables trusted analytics, AI, and data products, supporting better decisions for FrieslandCampina’s colleagues, customers, and member farmer