5 дней назад
Manager, Data Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data Engineering (AI) (Python, GCP, BigQuery, Pub/Sub, Kubernetes): Leading a data engineering team building and scaling streaming and batch pipelines that transform large-scale hospitality data into actionable data products with an accent on data quality, reliability, observability, and AI-first development. Focus on designing complex ingestion architectures, optimizing pipeline performance and latency, and coaching engineers through technically complex delivery.
Location: Ghent, Belgium; hybrid, full-time
Company
is an AI-powered hospitality technology company that transforms large-scale hotel data into real-time commercial intelligence and actionable revenue insights.
What you will do
- Lead, coach, and mentor a team of data engineers while supporting technical and career growth.
- Own the architecture, design, implementation, maintenance, and scaling of streaming and batch data pipelines.
- Guide the ingestion and transformation of large volumes of structured and less structured hospitality data into high-fidelity data products.
- Drive improvements in data quality, system stability, observability, pipeline performance, latency, and reliability.
- Champion an AI-first development culture and collaborate with product, engineering, support, and business teams.
Requirements
- Experience managing engineering teams and developing engineers through coaching and mentoring.
- Strong hands-on data engineering background with ETL/ELT, batch and streaming pipelines, complex transformations, and data modeling.
- Professional proficiency in Python for large-scale data processing and pipeline development.
- Strong knowledge of data cloud technologies, streaming systems such as Google Cloud Pub/Sub or Kafka, and cloud databases such as BigQuery, Spanner, Snowflake, or Databricks.
- Experience breaking down architectural initiatives, estimating work, planning delivery, and optimizing technical systems.
- Fluent English and excellent communication and stakeholder management skills.
Nice to have
- Experience with LLMs, agentic workflows, or AI-assisted coding tools.
- Experience building integrations with third-party APIs and external data sources.
- Experience in hospitality technology or a similar industry such as aviation.
Culture & Benefits
- Flexible time off and support for work-life balance.
- Workshops, frameworks, and training for career development.
- Mobility budget or company car depending on job category.
- Home-office expense allowance, lunch vouchers, and eco vouchers.
- Health insurance for employees and dependents, group pension insurance, and referral bonuses.
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