(Junior) Data Engineer (m/f/d)

Projectstudy; Deutschland; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

International team

Career & training opportunities

OpenUp mental health support

Subsidized urban mobility

Langdock access

Zusammenfassung

Statista is seeking a driven data engineer to collaborate across data sourcing and architecture teams, building scalable data publishing infrastructure and robust pipelines for content management. You will develop orchestration workflows to enable automated publishing, while continuously optimizing processes for performance, security, and availability.

Applicants should have strong Python-based ETL experience, solid SQL skills, familiarity with Airflow and containerization, and a good

Qualifikationen

• Experience developing ETL processes and data automation using Python.
• Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git).
• Strong SQL skills for data manipulation and querying.
• Understanding of data modelling and architecture.
• Experience with cloud services (AWS: ECS, EC2, RDS) and Infrastructure-as-Code is a plus.
• Excellent spoken and written English.

Aufgaben

• Collaborate with data sourcing and architecture teams to build data publishing infrastructure for products.
• Build and maintain data pipelines that scale Statista's content management and production.
• Develop reliable data orchestration workflows to support automated publishing processes.
• Analyze existing content and data processes to identify optimization and automation opportunities.
• Monitor and optimize data infrastructure for availability, performance and security.
• Stay up-to-date with AI & Automation developments to revise and upgrade services and tools.

Jobbeschreibung

Your Role

• Work collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
• Build and maintain data pipelines that scale Statista's content management and production
• Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista's content teams
• Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
• Monitor and optimize data infrastructure to ensure high availability, performance, and security
• Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

Your Profile

• You are comfortable in developing ETL processes and data automation processes using Python
• Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
• You have a good command of SQL for data manipulation and querying
• You have a good understanding of data modelling and architecture, with a strong interest in best practices.
• You have some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
• You have excellent spoken and written English skills

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

• Work from abroad up to 30 calendar days a year
• Hybrid work and flex-time
• International team and social events
• Subsidized urban mobility and access to fitness and wellness options
• Free access to Langdock and all its amazing functionalities
• Career & training opportunities
• Attractive locations and modern offices
• Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.