(Junior) Data Ops Engineer - Data Sourcing (m/f/d)

at  Statista

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

• You have very good knowledge of Python (see libraries above) and SQL (we mostly use PostgreSQL).
• Some prior experience with Polars, SQLAlchemy, Alembic, Airflow, Streamlit, or Dash are nice to have, as is experience with prompt engineering, Github, AWS, and Docker.
• You like to dig into new topics and learn as you approach new projects.
• Ideally, you are always on the lookout for novel developments and like to drive the adoption of innovative technologies in our organization.
• You have strong problem-solving skills and show strong ownership of topics and push projects independently.
• Particularly, you like to analyze and improve processes and engage with our analysts and internal stakeholders to get an understanding of users’ needs and can independently diagnose process improvement potential and proactively suggest solutions.
• You have an ability to describe complicated issues concisely and understandably and can efficiently communicate in writing and in person with both technical and non-technical stakeholders.
• You have excellent spoken and written English skills.

Please refer the Job description for details