Senior/Principal Databricks Data Platform Engineer

IG&H Portugal

Lisboa

Híbrido

EUR 44.000 - 67.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Health & Life Insurance
Meal Allowance
Work from home expenses
Mobile Phone budget
22 holidays + 4 days off
International exposure

Descripción de la vacante

IG&H Portugal invites Senior/Principal Data Engineers to join RevoData, a data consultancy within the IG&H Group. You will design and build scalable data platforms, lead architecture and client engagements, and work on international projects across the Netherlands while based in Lisbon.

Expect to drive modern data lakes and warehouses, ensure security and governance, and bring analytics and ML into production with robust engineering practices.

Formación

  • 5+ years of experience delivering data platform and analytics solutions in complex environments.
  • Fluent English (spoken and written) for client engagement across borders.
  • Experience leading workstreams, mentoring engineers, and making technical decisions.

Responsabilidades

  • Take ownership of architecture, project delivery, and client engagement.
  • Design, build, and evolve data models, architectures, and platform capabilities for long-term objectives.
  • Lead development of complex data pipelines (ETL/ELT) using Spark/PySpark on Databricks and Azure.

Conocimientos

Data engineering
SQL
Python
Spark/PySpark
Databricks
Azure
CI/CD
DevOps
Consultancy

Herramientas

Snowflake
Infra as Code

Descripción del empleo

IG&H Portugal invites Senior/Principal Data Engineers to join RevoData, a data consultancy within the IG&H Group. You will design and build scalable data platforms, lead architecture and client engagements, and work on international projects across the Netherlands while based in Lisbon.

Expect to drive modern data lakes and warehouses, ensure security and governance, and bring analytics and ML into production with robust engineering practices.

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