Optimizing beverage costs is an ongoing challenge. Alfred helps you reduce costs by up to 2% with detailed data analysis.
From great to Excellence

Optimize your revenue and deliver exceptional experiences to your guests
In the hospitality industry, every detail matters. Alfred combines artificial intelligence with innovative technologies to optimize your beverage operations and provide personalized experiences that foster customer loyalty. We understand that every establishment is unique, and we work with you to understand your needs and refine your strategies, boosting your revenue sustainably. Move from good practices to excellence with a smart solution that’s easy to integrate.
Alfred's difference:
The fusion of technology and human touch
At Alfred, we set ourselves apart by combining cutting-edge AI with personalized human support to deliver a truly unique approach.
We don’t just provide tools; we are your partner in creating exceptional beverage experiences. Here’s how we make a difference.
The specific challenges we address in hospitality.
Alfred tackles the key challenges that often hinder operational efficiency and profitability in the hospitality industry, offering smart solutions to streamline processes, optimize costs, and enhance customer satisfaction.
Your Responsibilities
- ETL/ELT pipelines — Design, implement, and optimize pipelines that ingest, transform, and manage large volumes of structured and unstructured data (Airflow, dbt, Glue).
- AWS infrastructure — Architect and maintain a scalable data platform on AWS (ECS, EKS, S3, RDS, Lambda, Glue, Athena, Kinesis), provisioned as Infrastructure-as-Code (Terraform).
- Real-time — Work with event streams (Kafka/Kinesis) to deliver low-latency updates to dashboards and AI-powered recommendations.
- Datasets for AI/ML — Partner with AI teams to prepare clean, versioned, reliable datasets ready for training and inference.
- Observability & reliability — Wire up monitoring, logging, and alerting on your pipelines (Datadog) so production stays highly available.
- DevOps & CI/CD — Automate deployments through GitLab CI/CD, apply GitOps practices, keep the build → test → deploy chain smooth.
- Governance & security — Ensure compliance with data governance, security, and privacy policies.
Technical Stack
Languages & pipelines
- Python (primary), Java or Scala as needed
- Airflow, dbt, AWS Glue (ETL/ELT)
- Advanced SQL
AWS infrastructure
- ECS, EKS, Lambda, S3, RDS, Glue, Athena
- Kinesis and Kafka (MSK) for streaming
- Terraform (IaC)
Databases
- PostgreSQL (relational, optimization, indexing)
- MongoDB (document)
DevOps & delivery
- Docker, Kubernetes
- GitLab CI/CD, GitOps workflows
- Datadog (observability, logs, traces, alerting)
Downstream of you (the teams you serve)
- AI/ML teams (training, inference, agents).
- Product teams (dashboards, data-driven features).
- You build the platform they consume; you set the shape of the datasets and the contracts.
Candidate Profile: "The Operator"
- Reliability & production sense — A pipeline that works in dev but breaks in prod isn't a pipeline. You think observability, idempotence, and recovery from day one.
- End-to-end ownership — You've already built and maintained production pipelines from A to Z. You know when to make the call yourself and when to pull in feedback.
- Python (or Java/Scala) mastery for data — You write clean code, you test, you document the contracts between stages.
- Solid AWS — ECS/EKS, Lambda, Kinesis, S3, Glue, Athena, RDS — you move comfortably and you know which service fits which need.
- Field-tested DevOps — GitLab CI/CD, GitOps, Terraform, Docker, Kubernetes — you don't need hand-holding on IaC.
- Databases — Advanced SQL on PostgreSQL (execution plans, indexes, partitioning), comfortable with MongoDB for document workloads.
- Data sense for AI/ML — You understand how to structure and prepare a dataset so it's useful to a model, not just clean.
- Languages — French proficiency (oral and written) is required. Strong professional English is a real plus.
Nice-to-Have
- Experience with event-driven architectures (Kafka, Kinesis) at scale.
- Background in real-time analytics or stream processing.
- Exposure to AI/ML platforms (SageMaker, feature stores, vector DBs).
- Sports, entertainment, or large-venue operations domain.
What We Offer
- The opportunity to work on high-scale, high-impact projects for major international events.
- A collaborative, agile, "production-first" environment.
- Flexible working conditions: headquartered in Quebec City, hybrid model (2 days a week in our beautiful Saint-Roch office).
- Competitive salary, comprehensive benefits, and real professional growth opportunities.

success story
Ready to transform your beverage operations and maximize your revenue?
Contact us today to discover how a partnership with Alfred can help you achieve your goals of excellence.
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