Maintain speed and quality at every counter with real-time alerts and operational insights that adapt to event pace.
Maximize Performance in High-Volume Environments
Speed, scale, and precision — Alfred was built for the pressure of live events. From stadiums to entertainment venues, our AI-powered platform turns operational complexity into real-time clarity, helping you deliver premium service and increase profitability with every pour.
AI That Moves at the Speed of Your Events
In the fast-moving world of sports and entertainment, food & beverage operations are a critical revenue stream — but also a major operational challenge. Alfred connects the dots between inventory, demand, and sales in real time, so you can serve smarter, act faster, and make the most of every opportunity.
Our technology gives you full visibility into performance by location, event, or time slot. You can anticipate bottlenecks, respond to crowd surges, and keep your stock exactly where it needs to be — all while reducing waste and missed revenue.
More Than a Platform. A Real Operational Advantage.
Alfred is more than dashboards and data — it’s a strategic engine built to drive smarter decisions, faster. We bring AI, field-tested expertise, and hands-on support together to tackle your biggest F&B challenges.
AI-Powered Intelligence
Real-time insights that adapt to your pace and help you serve the right products, at the right time, every time.
Revenue Optimization , Built-in
Smart pricing, better stock control, and tailored recommendations designed to boost margins and reduce waste.
Support That Doesn't Stop
From setup to ongoing success, Alfred’s team is with you — so you’re never alone in fast-paced environments.
What We Solve for Sports & Entertainment Venues
The sports and entertainment sector faces numerous challenges. Alfred is designed to solve them, allowing you to:
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Data Engineer - Pipelines & Platform (AWS, Python)
We're looking for a Data Engineer to design, optimize, and operate the pipelines that power our AI models and real-time dashboards. You'll have Full Ownership of your pipelines. You build the plumbing, you keep it healthy in production, and you make sure the data lands clean, fresh, and reliable in the hands of the teams that depend on it.
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.
To apply, please fill out this form or send your resume to carrieres@alfredtechnologies.com
Personalized Guest Experiences
Dynamic Demand Management
Predictive Inventory Accuracy
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Our solutions for the
Sports & Entertainment industry
Sports & Entertainment industry
Dynamic Food & Beverage Offerings
Alfred’s AI analyzes real-time data such as demographics, event types, and purchase history to create a personalized selection perfectly suited to your spectators. Deliver a tailored experience at every event while maximizing sales.
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Agile Pricing Strategies
Optimize prices in real-time based on demand and customer preferences. With advanced algorithms, we enable you to dynamically adjust prices for each product, maximizing your margins and revenue.
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Smart Inventory Management
Track your inventory and forecast your needs accurately with AI-driven predictions. No more over-purchasing or stockouts! Alfred helps you buy exactly what you need, when you need it, and provides real-time visibility into your stock levels.
Unmatched Dedicated Support
As a true partner, Alfred supports you throughout the implementation process and the continuous optimization of your operations. You receive constant support to maximize profitability and ensure an exceptional customer experience at every event.
Sport Venues’ customer
Success Stories
Success Stories
The Bell Centre is the largest amphitheater by capacity in the National Hockey League. This sports facility offers beverages through its five restaurants, 125 lodges, and the Air Canada Signature Club.
Get in Touch to Discover How Alfred Can Transform Your Food & Beverage Operations!
Optimize your revenue and enhance your spectators' experience with a partnership with Alfred. Contact us today to learn how our AI technology and dedicated support can help you achieve your profitability and customer satisfaction goals.
Let's talk
