Senior Data Engineer - Own & Evolve Data Platform

KaraFun Group

Brussel Hoofdstad

Presencial

EUR 70.000 - 110.000

Tempo integral

Há 8 dias

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Resumo da vaga

KaraFun Group is expanding its data team in Brussels and seeks a Senior Data Engineer to take technical ownership of the data platform. You will work closely with data, backend and infra teams to master and operate GCP-based pipelines, BigQuery schemas and SQLMesh transformations, ensuring the data is reliable, understandable and well-modeled.

The role emphasizes improving ingestion, freshness, observability, and data contracts, while keeping costs under control.

Qualificações

  • Experience owning data platforms end-to-end.
  • Experience with GCP, BigQuery and modern data tooling.
  • Strong data modeling and pipeline design skills.
  • Ability to design observability and data quality checks.
  • Collaborative mindset across data, backend and infra teams.

Responsabilidades

  • Take technical ownership of the data platform and data warehouse.
  • Understand and evolve existing architecture and data flows.
  • Maintain and improve ingestion pipelines and integrate new sources.
  • Ensure data freshness, availability and reliability.
  • Design and maintain modeling layers: ingested, staging, models, dimensions, facts.
  • Evolve transformations with SQLMesh.
  • Set up tests and quality checks for data contracts.
  • Implement observability to detect data issues quickly.
  • Investigate incidents and derive root causes.
  • Collaborate on data contracts and cost optimization.
  • Support Data Analyst needs and architecture decisions.

Conhecimentos

Technical ownership
Data platform
Data modeling
SQL
Python
Observability
Data quality
Cost optimization
Cross-functional collaboration

Ferramentas

GCP
BigQuery
SQLMesh
Python

Descrição da vaga

KaraFun Group is expanding its data team in Brussels and seeks a Senior Data Engineer to take technical ownership of the data platform. You will work closely with data, backend and infra teams to master and operate GCP-based pipelines, BigQuery schemas and SQLMesh transformations, ensuring the data is reliable, understandable and well-modeled.

The role emphasizes improving ingestion, freshness, observability, and data contracts, while keeping costs under control.

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