TL;DR

Senior Azure Data Platform Engineer with Databricks (Cloud): Establishing a centralized data platform on Azure to consolidate data and enable various use cases, with an accent on leveraging Databricks and Unity Catalog within a medallion architecture. Focus on setting up environments, ensuring infrastructure availability, and leading team training sessions.

Location: Hybrid model with two days per week on-site near Frankfurt am Main

Company

%hirify_global% is a global tech company delivering top-notch work across cloud, data, and software.

What you will do

Set up and maintain environments for applications.
Ensure infrastructure remains highly available, scalable, and secure.
Manage testing and deployment processes.
Lead team training sessions on tools and best practices.
Apply project management techniques for collaboration.

Requirements

Willingness to work in a hybrid model.
Several years of experience in cloud environments.
Strong proficiency in Microsoft Azure, Databricks, and Unity Catalog.
Commercial experience with SQL and Python.
Excellent communication skills in English.
Bachelor’s degree in a related field.

Nice to have

Proficiency with Kafka and Azure Data Fabric.

Culture & Benefits

Development budgets of up to €1,500.
Funding for certifications.
Access to Udemy and O'Reilly.
Flexible working hours.
B2B contract for an indefinite period.

Hiring process

CV review, HR call, Technical Interview, Client Interview, Hiring Manager Interview, Decision.