Data Ops Engineer - AI & Automation (m/f/d)
Data Ops Engineer - AI & Automation (m/f/d)
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Job Description
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 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
Build tools and services based on foundation models to enhance the efficiency of Statistas researchers and analysts in data research and modelling.
Develop autonomous AI agent networks that can take on the heavy-lifting for complex market forecasting both quantitative and qualitative.
Design and deploy cloud infrastructure for hosting tools AI Agents and API services.
Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation.
Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.
Your skills
You are comfortable in developing automation and AI tools in Python using for example libraries such as Fast API / Flask G-Eval Langchain Sentence Transformers or Streamlit / Gradio
You have a good understanding and a great interest in the principles and basics of AI applications (RAG-context prompt engineering pros and cons of different foundation models output evaluation)
Proficiency in workflow orchestration containerization and version control tools (e.g. Apache Airflow Docker or git)
You have at least some experience in cloud services and infrastructure (e.g. AWS: ECS EC2 & EKS); Infrastructure-as-Code is a plus
You have excellent spoken and written English skills
Your Team
The Product Division is responsible for our platform products from statistics and reports to consumer and industry insights we create exclusive digital content from the worlds most significant sources our own primary data and in-house AI-powered data tools. Over 400 experts including researchers analysts product managers and data engineers all work together to provide our customers with one integrated product experience empowering people with reliable data to make fact-based decisions: 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.
Employment Type
Full-Time
