Senior Data Platform Engineer (Azure & Databricks) 80-100%

Job summary

The role focuses on developing and maintaining the Azure and Databricks platform for analytics, reporting, and AI applications. Key responsibilities include automating infrastructure and deployment processes using Terraform, Git, and CI/CD, optimizing data pipelines, and collaborating with Data Scientists and Data Engineers to ensure reliable deployment of machine learning solutions.

Qualifications

• Several years of practical experience as Data Platform Engineer, Cloud Engineer, Data Engineer, or similar role.
• Strong knowledge in Azure, Azure Databricks, Python, SQL, and Apache Spark.
• Experience with Terraform, Git, CI/CD, and modern DevOps practices.
• Familiarity with the structure and operation of modern cloud data platforms.
• Ability to work independently, pragmatically, and solution-oriented.
• Effective communication with internal stakeholders and ability to explain technical concepts.
• Experience with medical data, HL7/FHIR, or in the healthcare sector is advantageous.
• Proficient in German and English.

Responsibilities

• Develop and maintain the Azure and Databricks platform ensuring stable operations.
• Automate infrastructure, deployment, and operational processes using Terraform, Git, and CI/CD.
• Optimize data pipelines and products, supporting dashboard and AI application implementation.
• Gather requirements from internal stakeholders, advising on technical possibilities and translating them into productive solutions.
• Assist Data Scientists and Data Engineers in reliably deploying analytics, machine learning, and GenAI solutions.
• Enhance platform stability, security, performance, and cost efficiency while evaluating new technologies.

Skills

Languages

Relocation