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A leading business data platform in Berlin is seeking a backend engineer to build and optimize systems using Python and AWS. The role involves developing APIs and microservices, designing database models, and operating CI/CD pipelines. The ideal candidate should have strong programming skills, experience with database development, and a keen interest in data engineering. The company offers a hybrid work model and various perks, promoting a diverse work environment.
At Statista were all about facts and data for we are the worlds 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 grew 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.
Are you ready to join us?
Build and optimize backend systems using Python PostgreSQL and AWS (ECS Fargate S3 RDS) for data-driven applications.
Develop APIs and microservices that connect data products to various platforms.
Design database models automate schema migrations and ensure performance and security.
Operate orchestration and CI / CD pipelines (Airflow Docker GitHub Actions) for reliable deployments.
Collaborate across teams to solve technical challenges around data with a focus on backend and data architecture.
Perfect for backend engineers interested in working with data or growing into data engineering.
Strong programming skills (Python or similar) with database and API development experience.
Experience with cloud platforms infrastructure-as-code and automated deployments.
Understanding of data modeling query optimization and schema design.
Interest in data-centric problem-solving and eagerness to learn more about data engineering tools and workflows.
Comfortable working independently or collaboratively and open to learning data engineering concepts
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Employment Type : Full-Time
Experience : years
Vacancy : 1