Junior DevOps Engineer - AWS & MLOps (m/f/d)

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.

Are you ready to join us?

Your Job

• Support the design and implementation of AWS infrastructure (EKS/ECS, S3, Lambda), helping create secure, scalable environments for data-science workloads.

• Assist in building and maintaining data pipelines by contributing to Airflow workflows and learning to create reliable ETL processes.

• Learn and contribute to model deployment processes using GitHub Actions and MLflow, gaining hands-on experience with CI/CD pipelines in a machine learning context.

• Monitor system health and performance by setting up basic dashboards and alerts using CloudWatch, while learning advanced observability tools like Prometheus/Grafana.

• Collaborate with data scientists and engineers to understand requirements and assist in productionizing models from development to staging environments.

• Document processes and learnings while developing best practices knowledge in Infrastructure-as-Code and MLOps.

Your Skills

• 1-2 years of AWS experience with basic knowledge of core services (EC2, S3, Lambda) and foundational understanding of VPC and IAM concepts.

• Basic Infrastructure-as-Code experience with Terraform or willingness to learn, including understanding of version control integration.

• Foundational data engineering concepts including familiarity with data formats (JSON, CSV, Parquet) and basic SQL skills; exposure to data warehousing concepts is a plus.

• Container fundamentals with Docker and basic understanding of orchestration concepts; willingness to learn Kubernetes/EKS or ECS.
  Strong scripting foundation in Python and basic Bash skills, with solid Git/GitHub workflow knowledge and eagerness to learn CI/CD automation.

• Interest in observability and monitoring with basic CloudWatch experience; curiosity about MLOps concepts like model versioning and deployment strategies, with strong desire to grow in this area.

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 10 days a year (up to 30 if your family lives abroad)

• Hybrid work and flex-time

• International team and social events

• 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.