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.

The Team:

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 1,200 employees globally. The ML & Data Engineering team is currently fifteen 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!

In this role, you will:

The Data Engineering team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders. Initiatives include:

• Delivering robust data sets to analytics and product teams across both restaurant and diner facing product areas

• Partnering closely with Marketing on both B2B and B2C audience segmentation and campaign performance analysis

• Hospitality improvements via guest insights

• Data sharing with restaurants and other partners

• Security and Data Governance across the company

As a Manager of Data Engineering you will lead a team of Data Engineers responsible for  mission critical data sets. The primary requirements are a strong background in data engineering and excellent communication and organisational skills.

Please apply if:

• Data Warehouse experience; particularly data modelling, performance tuning, security, and governance

• SQL expertise

• Python proficiency

Strong Preference

• Prior management experience

• Track record of project leadership, cross-team collaboration, and coordination with Product Managers and other stakeholders

• Airflow or similar orchestration tools

• Snowflake, Databricks, DBT

Bonus

• Pipelines: Spark, AWS, Delta Lake

• Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite/Grafana

• Infrastructure: SQL Server, Kafka, ElasticSearch, Postgres, MongoDB, Redis

• Build: Poetry, TeamCity

Benefits:

• Paid Vacation

• One Celebration Day per calendar year

• Focus on mental health and well-being

• Company-wide weeks off a year - the whole team fully recharges (and returns without a pile-up of work!)

• Generous paid parental leave

• Focus on your career growth

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

• Employee Assistance Program (EAP)

• Pension Fund

 

Diversity, Equity, and Inclusion

OpenTable aspires to be a workplace that reflects the diverse communities we serve and a culture that is inclusive and welcoming. Hiring people with different backgrounds, experiences, perspectives, and ideas is critical to innovation and to how we deliver great experiences for our users and our partners.

Representation matters.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.