(Senior) Data Engineer - Data Architecture

• Help design, build, and improve our data infrastructure, focusing on back-end architecture, database management, and orchestration systems.
• Collaborate on data pipelines and services built with Python, PostgreSQL, Airflow, and AWS services (ECS, Fargate, ECR, S3, RDS).
• Contribute to implementing infrastructure-as-code (Terraform, CloudFormation, CDK), observability, and CI/CD practices (e.g., GitHub Actions).
• Take part in architecting and optimizing data models, managing schema design, and performing migrations with tools like SQLAlchemy and Alembic.
• Help develop and maintain microservices and APIs to connect data systems with internal and external platforms.
• Work with engineering, taxonomy, and platform teams to define data contracts and support reliable data flows.
• Apply cybersecurity standards, operational excellence, and consistency in data versioning and monitoring where appropriate.
• Contribute ideas to architectural planning, support technical mentorship, and help shape the evolving direction of the data organization.

Do you have experience in Terraform?, * Hands-on experience in Python and PostgreSQL, including database design, modeling, and optimization.

• Knowledge of orchestration tools (such as Airflow) and infrastructure-as-code frameworks (Terraform, CloudFormation, or CDK) is a plus.
• Understanding of core data architecture principles, normalization, migrations, and query tuning.
• Experience developing or maintaining APIs and microservices in cloud environments is welcome.
• Exposure to CI/CD pipelines and monitoring/observability in production systems is beneficial.
• Awareness of cybersecurity best practices and data governance in distributed data systems is helpful.
• Ability to work independently on data engineering tasks and collaborate well within teams in a lean technical landscape.

At Statista, we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters - keep writing it as part of our team., 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 10 days a year (up to 30 if your family lives abroad) * Hybrid work and flex-time * International team and social events * Free access to Perplexity Enterprise 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.   You must create an Indeed account before continuing to the company website to apply