Azure Data Engineer

TL;DR

Azure Data Engineer: Designing and architecting modern, secure, cloud-native data platforms on Azure with an accent on building infrastructure for data-powered apps and GenAI services. Focus on developing scalable data pipelines using Databricks, Spark, and IaC tools like Terraform or Bicep.

Location: Must have the right to work in Poland; role is open to remote, hybrid, or onsite work.

Company

hirify.global is a European leader in cloud implementation, application development, and managed services, recognized for helping organizations leverage public cloud strategies.

What you will do

• Design, architect, and implement secure, cloud-native data platforms on Azure.
• Build underlying infrastructure to support data-powered applications and GenAI services.
• Develop and maintain modern data pipelines.
• Collaborate within an international team to deliver complex cloud projects.

Requirements

• Must have the right to work in Poland.
• 3+ years of professional experience in building data platforms or pipelines.
• Proficiency in at least one language: Python, Scala, or Java.
• Hands-on experience with Azure, Databricks, and Spark (Scala/pySpark).
• Experience with job orchestration tools like Airflow or Composer.
• Knowledge of Infrastructure as a Code (Bicep or Terraform).
• Fluent communication skills in English.

Nice to have

• Experience with Snowflake, MongoDB, or Cassandra.
• Knowledge of data modeling techniques (Kimball, Inmon, Data Vault).
• Experience with multiple cloud platforms.
• Active industry certifications.

Culture & Benefits

• Individual training budget and coverage for hyperscaler certification fees.
• Flexible working hours and support for remote work.
• Local benefits package including private health care and life insurance.
• Workcation possibilities within selected locations.
• Company equipment provided.