Senior Data Platform Engineer

OpenTable; Toronto; Remote; CAD 137,000 - 142,000; Full time

Job summary

A leading tech company in the hospitality sector seeks a Data Platform Engineer to enhance its data infrastructure. You will join a dynamic team that engages in data analytics and machine learning projects while supporting restaurant partners with insights to improve operations. This remote role is set to transition to a hybrid model in downtown Toronto.

Benefits

Paid Time Off - 20 days a year

Annual company weeks off

Flexible sick time off

Parental Leave Benefits

Life & Disability Insurance

Group RRSP and DPSP

Major Medical Insurance

Qualifications

• Experience with data infrastructure and engineering principles.
• Proficiency in Python and at least one strongly typed language.
• Knowledge of machine learning and data pipeline operations.

Responsibilities

• Develop data pipelines for restaurant insights and analytics.
• Integrate with partners for data ingestion and export.
• Collaborate with teams to deploy and maintain robust data solutions.

Skills

Site Reliability Engineering

MLOps

Python

Kubernetes

Data Engineering

Tools

PySpark

Databricks

Airflow

AWS

Job description

With millions of diners, tens of thousands of restaurants, and 23+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a unique insight into the world of hospitality. We champion restaurants, bars, wineries, and other venues around the world, helping them attract guests, manage capacity, improve operations and maximize revenue.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global network that includes OpenTable and KAYAK's portfolio of travel brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined.

Hospitality is all about taking care of others, and it defines our culture. You’ll work in a welcoming and inclusive environment, and get the benefits, flexibility, and support you need to succeed.

This will be a remote role to start, with plans to transition to hybrid 2x/week in office, likely in downtown Toronto, Canada.

The Role:

The Data Engineering team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders. The team works directly on product initiatives and also serves as a platform for other teams to build data products.

In this role, you will:

• Generative AI for content summarization and question answering.
• Data pipelines which provide insights to restaurants on their guests, revenue, and operations
• Diner analytics projects which power ML, Sales, and Marketing workstreams
• Integrations with partners to ingest and export data to support business critical partnerships

As a Data Platform Engineer you will work closely with Infrastructure SREs, Data Engineers, and the Machine Learning team to craft and deploy robust and well governed solutions. You will lead both on-premise and cloud based infrastructure, and be responsible for maturing our DataOps and MLOps across the organization.

Please apply if:

• Proven experience with Site Reliability Engineering or MLOps with a focus on data infrastructure
• Knowledge of the technologies and principles of data engineering
• Experience building, testing, deploying, monitoring, and maintaining production systems
• Proficient in Python, at least one strongly typed language, and Kubernetes

Strong Preference

• Familiarity with our stack (PySpark, Databricks, Airflow, Python, K8s, AWS)
• Machine Learning experience (particularly MLOps, LLM Evaluation / Monitoring)
• Track record of project leadership, cross-team collaboration, and coordination with Product Managers and other stakeholders

Bonus

• Build: Flask, Gunicorn, Poetry, TeamCity, Spring, Maven

The Data Engineering team at OpenTable has two opposing challenges which manifest themselves as opportunities:

• OpenTable is the world's leading provider of online restaurant reservations, seating more than 25 million diners per month via online bookings across approximately 60,000 restaurants. It has a massive wealth of diner and restaurant data going back over 20 years.
• OpenTable fields a lean team, with just over 1,000 employees globally. The Data Science team is currently 17 people, but striving to grow.

As a member of the team, you will benefit from these factors because your projects will have sufficient data and usage to be interesting and have a meaningful impact, and you will have the opportunity to work on a variety of interesting projects across the company. However, you will be forced to think critically and ruthlessly prioritize, since the team has finite bandwidth. If these challenges sound interesting, then we look forward to hearing from you!

• Paid Time Off - 20 days a year
• Birthday/celebration PTO - 1 day
• Annual company weeks off
• Flexible sick time off
• Parental Leave Benefits
• Life & Disability Insurance
• Group RRSP and DPSP
• Major Medical Insurance (dependent care options)

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this remote Canada based role is $137,000 - $142,000.

In addition to a competitive base salary, roles are eligible for additional compensation and benefits including: annual cash bonus, equity grant; health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave and benefits.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

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KAYAK Software Corporation, OpenTable, Inc., their respective subsidiaries and Momondo A/S (together, ‘KAYAK and OpenTable”, “our/we/us”, or “Company”) will process your personal data in accordance with applicable data protection laws for the purposes described in our privacy notice (KAYAK (Germany) /OpenTable (Germany) andKAYAK (All Other Locations) /OpenTable (All Other Locations) ). As part of the application process KAYAK and/or OpenTable may share your personal data across our group of companies, subject to our privacy notice and applicable laws. In order to consider you for new positions, KAYAK and/or OpenTable may keep your personal data for 6 months (within the EU) and 2 years (in all other regions), unless otherwise required by applicable law.

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