Junior DevOps Engineer - AWS & MLOps (m/f/d) at Statista
Deutschland, , Germany -
Full Time


Start Date

Immediate

Expiry Date

19 Oct, 25

Salary

0.0

Posted On

19 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Code, Kubernetes, Python, Deployment Strategies, Json, Docker, Ecs

Industry

Information Technology/IT

Description

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 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.
Responsibilities

Please refer the Job description for details

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