Data Engineer building and maintaining data pipelines for Statista, a leading data platform. Collaborating with teams on data infrastructure and optimizing publishing processes.
Responsibilities
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.
Requirements
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
Benefits
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
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