Data Engineering Manager: AI-First Pipelines Leader

The Hotels Network

Oost-Vlaanderen

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Flexible time off
Career development
Impactful work
Mobility budget
Company car
Home office allowance
Lunch vouchers
Eco vouchers
Health insurance
Pension
Referral bonuses

Résumé du poste

Lighthouse is seeking a Data Engineering Manager in Belgium to lead a team responsible for end-to-end data domains within a large-scale ingestion and transformation platform. You will unify hotel data into a semantic layer and deliver data products powering hotels worldwide.

The role blends strong technical leadership with people management, requires expertise in ETL/ELT, streaming/batch pipelines, cloud data stacks, and Python.

Qualifications

  • Experienced people leader with a track record of managing engineering teams.

Responsabilités

  • Lead and mentor a data engineering team responsible for end-to-end data domains.
  • Oversee ingestion and transformation pipelines handling large data streams.
  • Drive architecture, design, implementation, and scaling of streaming and batch pipelines.
  • Champion an AI-first development culture within the engineering team.
  • Identify and deliver improvements in data quality, system reliability, and observability.
  • Collaborate with product, engineering, support and business teams.

Connaissances

Data engineering
ETL/ELT
Streaming pipelines
Batch pipelines
Python
BigQuery
Kubernetes
GCP
Data modelling
Leadership

Outils

Google Cloud Platform
BigQuery
Spanner
Snowflake
Databricks
Pub/Sub
Kubernetes

Description du poste

Lighthouse is seeking a Data Engineering Manager in Belgium to lead a team responsible for end-to-end data domains within a large-scale ingestion and transformation platform. You will unify hotel data into a semantic layer and deliver data products powering hotels worldwide.

The role blends strong technical leadership with people management, requires expertise in ETL/ELT, streaming/batch pipelines, cloud data stacks, and Python.

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