fifty-five

Technical Project Manager

• The engineering team designs, develops and implements the technical solutions that enable the deployment of data platforms and the creation of data pipelines for our clients.
• The team relies on modern technologies (Docker, Kubernetes, Terraform, notebooks, etc.) and deploys projects across the major cloud providers (GCP, Azure, AWS, etc.).
• The team works closely with the Data Science team to deliver advanced client use cases, including integrations with various market LLMs.
• Mission: We are looking for someone able to deliver technical projects that meet our clients’ needs (e.g., implementation of a Customer Data Platform, deployment of use cases involving Generative AI, implementation of data platforms, definition and implementation of enterprise-scale data governance, etc.).
• Activities range from cost estimation and technical sizing to implementing architectures, reviewing functional specifications and reviewing/producing code.
• In parallel, the role will include project and team management responsibilities.

Data & Cloud Technical Project Manager

Data Scientist

• Understand our clients’ data marketing needs, transform them into actionable solutions, and oversee their implementations
• Synthesize detailed data and information, and communicate key insights and technical concepts to stakeholders of different disciplines, both internally at 55 and externally with our clients
• Collaborate with 55's data scientists and engineers to scope and check machine learning and AI project requirements
• Develop and adapt data science solutions using a mix of programming and analytics skills
• Help the team develop new business opportunities

Data Consultant, Marketing and Data Science

Cloud Engineer

• The engineering team develops and implements the technical solutions that enable the creation of data pipelines and the implementation of data platforms for our clients
• Ingestion of data from multiple data sources (APIs, files, etc.)
• Data cleaning, data processing, automation and monitoring of the entire system
• Consolidation of the data infrastructure by optimally leveraging Snowflake
• Establishment of a solid technical foundation: setting up governance, structuring accounts and applying Snowflake best practices
• Design and implementation of Data Clean Rooms on Snowflake

Data & Cloud Engineer

• Develop and implement technical solutions to build data pipelines
• Implement data platforms for clients, including data ingestion, cleaning and processing
• Automate and monitor cloud technical solutions (GCP, Azure, AWS)
• Participate in R&D and support teams in setting up internal work tools
• Take part in development projects and rapid prototyping
• Produce robust, production-ready code

Senior Data, Cloud Engineer

• Implement technical projects to meet client needs (for example: implementing a Customer Data Platform, deploying use cases involving Generative AI, building data platforms, defining and implementing enterprise-wide data governance, etc.)
• Technical estimation and sizing for architecture implementation
• Review of functional specifications and code review/production
• Support consultants during discovery and sales phases (understanding client needs, identifying opportunities, high-level architecture and sizing, client pitches)
• Discussions with clients (gathering technical constraints, defining and validating architecture)
• Technical project leadership (task distribution, monitoring development, ensuring quality, identifying project risks, etc.)
• Development when relevant (infrastructure deployment, contributing to code)
• Template projects already delivered to other clients and develop new solution offerings identified as opportunities for our clients

Data & Cloud Technical Project Lead

• Réaliser des projets techniques pour répondre aux besoins des clients
• Participer à la R&D et accompagner les équipes transverses dans la mise en place d’outils de travail internes
• Produire du code robuste qui tourne en production tous les jours
• Prototyper rapide pour des démonstrateurs

Senior Data Engineer, Cloud

Financial Planning and Analysis

• Provide essential support to the Finance Support Specialist as a Junior Finance Assistant (12-month fixed-term maternity cover)
• Assist with client invoicing: verify billing data, maintain accurate billing records, and help resolve billing inquiries
• Support accounts receivable and relationship management with client stakeholders to facilitate smooth payment processes
• Ensure data integrity across financial systems and assist in identifying process improvements
• Support month-end financial processes to ensure timely and accurate reporting
• Provide ad hoc operational finance support and assist with audits and other finance activities as needed