OpenTable - Business Intelligence Engineer
Requirements
• Proven programming expertise: Hands-on experience with Python and SQL, including developing data pipelines, integrations and automated workflows. • Modern data engineering experience: Proficiency with Snowflake or similar cloud data warehouses, alongside data modelling, ETL/ELT processes and orchestration tools such as Apache Airflow. • Practical applied AI knowledge: Experience integrating modern AI APIs, large language models (LLMs) or AI-powered technologies into business applications and workflows. • Excellent stakeholder management: Proven ability to gather requirements, challenge assumptions and communicate complex technical concepts clearly to non-technical audiences. • A solutions-focused mindset: Strong analytical and problem-solving skills, with the ability to independently navigate ambiguity, prioritise effectively and deliver reliable, commercially valuable solutions. • Experience with advanced AI techniques such as retrieval-augmented generation (RAG), embeddings, vector databases or AI agent workflows. • Familiarity with cloud platforms such as AWS, GCP or Azure. • Experience with analytics engineering tools such as dbt, alongside Git, CI/CD or modern software development practices. • Previous experience in a technology-led marketplace, SaaS, hospitality, travel or e-commerce environment. • A track record of delivering AI, data or automation initiatives that have resulted in measurable operational improvements. • What We Can Offer... • 5 weeks paid vacation • Private health & dental insurance • Work from (almost) anywhere for up to 20 days per year • Focus on mental health and well-being: • Company-paid therapy sessions through SpringHealth • Company-paid subscription to Headspace • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) • Paid parental leave • Time off for your birthday • Paid volunteer time • Focus on your career growth: • Development Dollars • Leadership development • Access to thousands of on-demand e-learnings • Travel Discounts • Employee Resource Groups • Income protection and life assurance • Employee Assistance Program - including 24/7 GP & free legal advice • Pension plan contributions • Discounted gym membership • Season ticket loan • Free lunch 2 days per week • The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week - giving employees the best of both worlds: in-person collaboration and flexibility. • Work Environment & Flexibility • At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations. • Inclusion • 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 any reasonable adjustments during the application/interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.
Responsibilities
• Build scalable data infrastructure: Design, develop and maintain reliable data pipelines, ETL/ELT processes and data models that support analytics and business operations. • Develop AI-powered solutions: Apply modern AI technologies and APIs to build intelligent workflows, automate processes and solve real business challenges. • Turn data into actionable insights: Create analytical tools, reporting solutions and automated systems that improve decision-making, efficiency and business performance. • Partner with stakeholders: Collaborate with technical and non-technical teams to gather requirements, understand challenges and translate business needs into effective technical solutions. • Own solutions end to end: Lead projects from discovery and design through development, deployment and optimisation, ensuring solutions are scalable, reliable and maintainable.
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