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DE
Deutsche Börse
2mo ago

Databricks Platform Engineer(m/w/x)

Frankfurt am Main
Full-timeOn-siteSenior
Data Science

Description

In this role, you will design and optimize a robust data platform on Databricks to support advanced analytics and big data initiatives. Your daily responsibilities will include configuring workspaces, managing settings, and advising users to enhance platform adoption.

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Requirements

  • •Bachelor’s degree in Computer Science, Data Engineering, or related field
  • •5+ years of experience in cloud big data platforms, preferably Azure or GCP
  • •Hands-on experience with Databricks, Delta Lake, and Spark; familiarity with Kafka, Flink, or similar frameworks
  • •Experience building data pipelines using tools like Apache Airflow, Data Factory, or Apache Beam
  • •Proficiency in Terraform, Python, and CI/CD tools such as GitHub Actions
  • •Strong understanding of data management, monitoring, security, and privacy
  • •Excellent communication and collaboration skills across cross-functional teams
  • •Fluency in English; additional language skills are a plus

Education

Bachelor's degree

Work Experience

5 years

Tasks

  • •Provision and configure Databricks workspaces using Terraform, CLI, and SDK
  • •Manage workspace-level settings, including clusters, libraries, compute policies, and access controls
  • •Define and maintain catalogs, schemas, and tables using Unity Catalog
  • •Ensure the data platform is secure, scalable, and highly available
  • •Contribute to the implementation of the Data Mesh paradigm across domains
  • •Act as a technical advisor to data scientists, analysts, and business users
  • •Drive onboarding, training, and enablement programs to scale platform adoption
  • •Maintain technical documentation and participate in Agile ceremonies and sprint planning

Tools & Technologies

AzureGCPDatabricksDelta LakeSparkKafkaFlinkApache AirflowData FactoryApache BeamTerraformPythonGitHub Actions

Languages

English – Business Fluent

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