(Junior) Data Ops Engineer - Data Publishing (m/f/d)

Statista

Statista is the global leader in business data, offering reliable and user-friendly analytics products. Since being founded in Hamburg in 2007, they have expanded globally, with offices in cities like London, New York, and Tokyo. Statista values a diverse culture and continues to provide growth opportunities for employees. The role of (Junior) Data Ops Engineer arises from the need to support their evolving data infrastructure.

In this role you can expect to have the responsibilities:

• Collaborate with data sourcing and architecture teams to build a robust data publishing infrastructure.
• Develop and maintain scalable data pipelines.
• Create reliable data orchestration workflows for automated publishing.
• Analyze existing processes to enhance optimization and automation.
• Monitor and optimize data infrastructure for availability and performance.
• Remain informed about AI and Automation advancements to update tools.

This role comes with the following benefits:

• Option to work from abroad 10 days a year, up to 30 if family lives abroad
• Hybrid work with flex-time
• International team and social events
• Career and training opportunities
• Modern offices in attractive locations
• Mental health support through Fürstenberg Institute

This role requires you to have:

• ETL processes development using Python
• Proficiency with workflow orchestration tools like Apache Airflow
• Experience with containerization tools like Docker
• Familiarity with version control tools like git
• SQL proficiency for data manipulation
• Understanding of data modelling and architecture

You would benefit from having:

• Experience with cloud services like AWS (ECS, EC2, RDS)
• Knowledge of Infrastructure-as-Code

Some benefits apply only to the German entity and to Junior-level roles or above. Statista celebrates diversity, welcoming individuals from all backgrounds.