Who you are

- Demonstrated qualified experience in data engineering principles, data architecture, and software design

- Proven track record of building, testing, deploying, monitoring, and maintaining production data systems

- Proficiency in Python, SQL, and at least one strongly typed language (such as Java)

- Experience constructing scalable batch and streaming data pipelines

- Experience working in cross-functional environments and collaborating with product and technical stakeholders

- Experience with data engineering stack components such as PySpark, Databricks, Snowflake, Airflow, Kubernetes, and AWS

- Knowledge or experience in Machine Learning development (e.g., NLP, LLMs, RAG, recommendations, or MLOps)

- Familiarity with containerization, orchestration, and monitoring tools like Docker, Kubernetes, Helm, Prometheus, or Grafana

- Familiarity with data storage and infrastructure solutions such as Kafka, Snowflake, Delta Lake, or vector/NoSQL databases

- Understanding of A/B testing best practices and data-driven product evaluation

What the job involves

- As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI initiatives

- You will work closely with cross-functional teams including Product Managers, Business Intelligence Analysts, Infrastructure SREs, and Product Engineers to deliver scalable data products

- Joining a agile, high-impact team,



you will leverage OpenTable's vast data ecosystem to drive key business decisions and enhance user experiences globally

- Design, test, deploy, and maintain scalable batch and streaming data pipelines to deliver reliable data to internal and external customers

- Collaborate with Product Managers, Business Intelligence Analysts, SREs, and Product Engineers to architect and govern production data services

- Build data pipelines providing actionable insights to restaurants regarding guest behaviour, revenue, and operational efficiency

- Develop and maintain data integrations with external partners to support critical business partnerships and data exchange

- Power diner analytics and machine learning work streams for Sales, Marketing, and AI initiatives, including generative AI content summarization

- Monitor and optimize production systems to ensure high performance, data availability, and system integrity

Benefits

- Work from (almost) anywhere - wherever you do your best work

- Mental health and well-being - company-paid therapy sessions through SpringHealth, company-paid subscription to HeadSpace, and company-wide weeks off a year so the whole team can recharge

- Generous parental leave
- Generous paid vacation + time off for your birthday

- Paid volunteer time
- Enriched learning and development opportunities - leadership development & access to thousands of on-demand e-learnings

📌 Data Engineer (Toronto)
🏢 OpenTable
📍 Toronto