Senior Data Engineer

Description

The company builds commercial strategy software for hotels, using AI on a large hotel data network to turn data into real-time intelligence that helps hoteliers act first.

The company has raised $370M in Series C funding, has over $100M in ARR, and has 850+ staff across 35 countries. Its platform serves tens of thousands of hotels in 185 countries, including all of the top 15 global chains.

The role sits in the Engineering department in Ghent, Belgium, as a full-time hybrid position within one of the Integration Engineering teams, which has about 6-8 data engineers.

Responsibilities

• Design, build, scale, and maintain data pipelines for large-scale ingestion and transformation, handling around 100 TB of data per day.
• Balance greenfield data engineering work with improving the stability and quality of existing pipelines.
• Build and deploy scalable pipelines that ingest data from APIs, webhooks, and cloud storage.
• Write complex domain modeling and transformation logic that unifies disparate sources into high-fidelity data products.
• Help move legacy processes onto modern, scalable, and stable data architectures.
• Own support and troubleshooting for live integrations, diagnosing hotel and internal issues and keeping stakeholders informed during incidents.
• Improve pipeline reliability and data quality through observability, automated testing, and automation.
• Work closely with product, engineering, support, and business teams, as well as customers and partners.
• Dig into code and systems to find the root causes of complex technical problems.
• Use AI and automation to speed up engineering work, simplify complex debugging, and handle recurring tasks.
• Help the team transform, integrate, and store the large data sources behind the BI products, which process over 100 TB daily and manage a dataset of more than 3 trillion hotel rates.

Requirements

• Experience building and maintaining production data pipelines, with a growing interest in shaping the architecture around them.
• Take ownership of your software from initial design through production monitoring and continuous improvement.
• Professional proficiency in Python for large-scale data processing and pipeline development.
• Strong knowledge of data cloud technologies and hands-on experience with a major cloud platform such as GCP, AWS, or Azure.
• Use AI-assisted tools to ship high-quality code faster.
• Fluent English with excellent communication skills, able to discuss technical details and explain complex data flows to technical stakeholders.
• Technologies used in the role: Python, dbt, Airflow, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes, Claude.
• Welcome: knowledge of complex hospitality data domains.

Conditions

Hybrid working arrangement, full-time, based in Ghent, Belgium.

Equal-opportunity statement omitted; no further legal text provided.

Benefits

• Work from home or from one of the company's global offices.
• Flexible time off to manage your work-life balance.
• Collaborative, friendly team of colleagues who aim high and are creative.
• Career development through workshops, frameworks, tools, training, and processes.
• Work on products used by 85,000+ users worldwide.
• Mobility budget or company car, depending on job category.
• Pay that is reviewed regularly to reflect the value of your work.
• Net allowance for home office expenses.
• Lunch vouchers and eco vouchers.
• Comprehensive health insurance covering you and your dependents.
• Group insurance for pension funding.
• Referral bonuses for bringing in new talent.