Senior Data Engineer: Scale 100TB/day AI Pipelines

Lighthouse

Gent

Hybrid

EUR 70,000 - 110,000

Full time

7 days ago
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Benefits offered by this job

Flexible work from home
Mobility budget or company car
Comprehensive health insurance
Pension funding
Referral bonuses

Job summary

Lighthouse is seeking a Senior Data Engineer to own the end-to-end lifecycle of its large-scale ingestion and transformation engine. You will design, develop, scale, and maintain data pipelines handling massive data streams, enabling real-time intelligence for hospitality analytics.

Join a collaborative Integration Engineering team driving architectural improvements and leveraging AI to boost engineering velocity. Flexible work options include remote and office locations across the globe.

Qualifications

  • Experience building and maintaining production data pipelines.
  • Strong Python for large-scale data processing and pipeline development.
  • Fluent knowledge of data cloud technologies and hands-on experience with GCP, AWS, or Azure.
  • Forward-thinking using AI-assisted tools to ship high-quality code faster.

Responsibilities

  • Design, build, and maintain large-scale data pipelines ingesting diverse sources.
  • Develop and transform data models to create high-fidelity data products.
  • Improve architectural scalability and stability of data ecosystems.
  • Own live integrations support and incident communication with stakeholders.
  • Enhance observability, tests, and automation to ensure data quality.
  • Collaborate with product, engineering, support, and business teams.

Skills

Python
Data pipelines
Cloud platforms
AI tooling
Production engineering

Job description

Lighthouse is seeking a Senior Data Engineer to own the end-to-end lifecycle of its large-scale ingestion and transformation engine. You will design, develop, scale, and maintain data pipelines handling massive data streams, enabling real-time intelligence for hospitality analytics.

Join a collaborative Integration Engineering team driving architectural improvements and leveraging AI to boost engineering velocity. Flexible work options include remote and office locations across the globe.

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