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. From raw ingestion to training-ready datasets, you decide the architecture, you write the Python, you provision the infrastructure in Terraform, you watch it run.
Careers
We are always on the lookout for new talent to join our team. Your next challenge awaits.
What we offer
Flexible hours and hybrid workplace (2 days/week in-person)
Competitive salary that truly rewards your expertise and efforts
Comprehensive group insurance plan, telemedecine and employee benefits
Opportunities for rapid advancement within the company
Horizontal hierarchy where everyone is part of the important decisions
Corporate culture focused on employee well-being
Employees Testimonials
"Working in our team is an enriching experience where everyone's skills are valued, even with an unconventional background like mine in economics and data science. I've been well-supported to enhance my AI and development skills, actively contributing to a growing company. The flexibility of remote work and our wellness-focused corporate culture not only promotes a better work-life balance but also enables meaningful participation in the company's growth."
- Mathieu Gonthier, Data scientist and AI developer
Employees Testimonials
"Working at Alfred is a great. The team is respectful and supportive, making it a pleasure to collaborate every day. Having worked in this industry for years, I love that Alfred is dedicated to truly helping the beverage management industry—it resonates deeply with me. Plus, the freedom to innovate and the flexibility to work from anywhere in the world are just some of the perks that make this company exceptional."
- Maxime Desrosiers, Business Analyst & Quality Assurance
Be the next success story at Alfred
Come play a leading role in food and beverage management for prestigious establishments and events such as the Canadian Formula 1 Grand Prix or the Festival d'Été de Québec, Fairmont chain hotels, or legendary sports venues (Tampa Bay Lightning).
Data Engineer — Pipelines & Platform (AWS, Python)
Apply now
Spontaneous application
Your dream job isn't listed but you still want to bring something to the table? Apply anyway! We will contact you if a position at Alfred corresponds to what you are looking for.
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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.
Apply now
Get a free 14-day trial
Join a community of over 1, 000 members passionate about the world of wines and spirits. Alfred offers you a complete overview of your collection, at your fingertips:
- Optimal tasting range
- Precise product location in your wine cellar
- Dynamic inventory updates
- Early access to new arrivals on Alfred.vin
- Exclusive access to Alfred's database
