Data Engineer
Pernod Ricard
Data Engineering Manager
Engage with key stakeholders to identify data requirements for a specific data products
Design, build & maintain systems that capture, collect, manage, and convert raw data into usable information, securing quality & integrity (implementation of specific software for appropriate data management...)
Implement & maintain relevant procedures to secure data accessibility & quality (on new data sources uncovered by data scientists...)
Secure effective integration of built models/systems within PR environment, connecting with relevant architects/engineers, and drive continuous improvement initiatives (including maintenance...)
Ensure full compliance with China data regulations, including PIPL (Personal Information Protection Law), CSL (Cybersecurity Law), and DSL (Data Security Law), in all engineering and data-processing activities.
Drive continuous improvements in engineering standards ensuring synergies with global engineering standards while respecting the local needs, automation, tooling, observability, and code quality.
Mentor and support Data Engineers, sharing best practices and providing technical guidance in complex scenarios.
Contribute to workforce planning, engineering estimations, and capacity management within squads.
Participate in evaluating data engineers during recruitment, during build and support phases of the Products & Squads
Lead Data Engineering Estimations within squads/products, co-owning resource allocation, utilization & reporting
Co-own the day to day working with external partners in performance management, absence management and onboarding engineers to squads
Lead the transversal engineering topics through chapter time (market intelligence, cross-product/family initiatives...) as needed, and continuously develop their own skills based on industry trends/enterprise needs