(Junior) Data Ops Engineer - Data Quality (f/m/d) at Statista
Hamburg, Hamburg, Germany -
Full Time


Start Date

Immediate

Expiry Date

14 May, 25

Salary

0.0

Posted On

14 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Python, Postgresql, Sql, Github, Data Quality, Aws, Dash, Airflow, Sqlalchemy, Docker

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

  • You have very good knowledge of Python and SQL (we mostly use PostgreSQL).
  • Some prior experience with Polars, SQLAlchemy, Airflow or Dash are nice to have, as is experience with prompt engineering, Github, AWS, and Docker.
  • You enjoy the topic of data quality and can passionately spread the need for data quality across other teams.
  • 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.
Responsibilities

Please refer the Job description for details

Loading...