Senior Data Platform Engineer (Spark)

Location: Stockholm, Sweden; remote or hybrid work is available.

Company

hirify.global AB is hiring for a data infrastructure team focused on production data platforms.

What you will do

• Operate, upgrade, optimize, and manage production data platform environments.
• Run and maintain Airflow in production.
• Build and tune Spark workloads using Scala and Python.
• Work with large data sets and complex data flows.
• Contribute to CI/CD and platform automation.
• Own reliability, performance, and scalability of the platform.

Requirements

• 5–10+ years of relevant experience.
• Strong experience with Spark using Scala and Python.
• Airflow experience in a production environment.
• Operational responsibility for a data platform or data infrastructure.
• Cloud experience with GCP, AWS, or Azure.
• CI/CD experience with Git, Jenkins, or an equivalent tool.
• Experience with large data sets and complex ETL flows.
• The CV must clearly demonstrate personal responsibility for operating, upgrading, optimizing, and managing production environments; tool usage without operational ownership is unlikely to match the role.

Nice to have

• Kubernetes or GKE.
• Kafka or another streaming platform.
• BigQuery or Redshift.
• Experience with self-service analytics platforms.

Culture & Benefits

• The role is approximately 85% platform engineering and 15% data engineering.
• Remote or hybrid work is possible from Stockholm.

Hiring process

• Send a CV and include a short note describing hands-on platform operations experience.