Data Platform Engineer – Azure Databricks Expert

Arla Group

Aarhus

Presencial

DKK 700.000 - 900.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Arla is seeking an Experienced Data Platform Engineer to help evolve the Data Foundation platform. You will join an international team responsible for cloud-based data services, focusing on scalability, reliability and performance across the data ecosystem.

Your work includes shaping technical direction and mentoring colleagues. The role emphasizes modern engineering practices, collaboration with product architects, and building robust data pipelines and APIs to support analytics and AI

Formación

  • Several years of experience developing and maintaining enterprise-scale data platforms.
  • Strong expertise in Azure Databricks, Azure services, Terraform, Python/PySpark and SQL.
  • Experience with Azure Data Factory, Azure DevOps, GitHub and IaC.
  • Understanding of architectural patterns, integration design and modern software practices.
  • Experience with CI/CD, test automation and DevOps methodologies.
  • Good observability, resilience patterns and incident management.

Responsabilidades

  • Contribute to the technical implementation of complex features and services while improving architecture.
  • Support developers through code reviews, mentoring and knowledge-sharing.
  • Collaborate with Product Architects to shape technical direction and requirements.
  • Design and implement robust services, APIs and data pipelines.
  • Drive best practices in code quality, testing, automation and observability.
  • Evolve CI/CD pipelines and strengthen platform reliability and performance.

Conocimientos

Azure Databricks
Azure services
Python/PySpark
SQL
CI/CD
DevOps

Herramientas

Terraform
Azure Data Factory
Azure DevOps
GitHub
Infrastructure as Code

Descripción del empleo

Arla is seeking an Experienced Data Platform Engineer to help evolve the Data Foundation platform. You will join an international team responsible for cloud-based data services, focusing on scalability, reliability and performance across the data ecosystem.

Your work includes shaping technical direction and mentoring colleagues. The role emphasizes modern engineering practices, collaboration with product architects, and building robust data pipelines and APIs to support analytics and AI

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