The main objective of the role is to design, build, and evolve a robust and modern data platform, maximizing its adoption and impact across the organization.
YOUR ROLE
Design, build, and maintain backend and platform services powering the data platform
Create reusable, scalable platform capabilities rather than one-off solutions
Translate data domain needs into clean service designs, leveraging DDD and Hexagonal Architecture principles
Operate cloud-native services on AWS and Kubernetes, managing the full service lifecycle (versioning, configuration, deployment, monitoring)
Work closely with Data Engineers and Data Analysts to drive adoption and usability of platform capabilities
Act as a senior technical contributor, sharing knowledge and elevating overall team performance
Measure success through platform adoption, self-service enablement, and data team autonomy
YOUR PROFILE
4+ years of experience as a Data Platform Engineer or Data Engineer
Is a Data Engineer at heart with a strong platform mindset
Has strong technical expertise in: Python (expert level)
.NET (advanced)
Distributed systems fundamentals
Kubernetes deployments and operations
AWS data-related services
Has experience or interest in:Data Mesh concepts and implementations
DDD and Hexagonal Architecture
Is autonomous, product-oriented, and comfortable collaborating across teams
Communicates complex technical concepts clearly and documents solutions for scale
Is fluent in English (spoken and written); French is a plus
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