Data Ops Engineer – Data Architecture & Modelling (m/f/d) at Statista
Deutschland, , Germany -
Full Time


Start Date

Immediate

Expiry Date

12 May, 25

Salary

0.0

Posted On

12 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Dash, Aws, Airflow, Writing, Docker, Sqlalchemy, Economics, Data Science, Mathematics, Computer Science, Machine Learning, Github

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 successfully completed studies in the fields of computer science, data science, economics, mathematics, or a related field. We are open to applications from motivated lateral entrants as well.
  • You have a good or very good knowledge of and SQL. Some prior experience with Polars, SQLAlchemy, Alembic, Airflow, FastAPI, Streamlit, or Dash are nice to have, as is experience with Github, AWS, and Docker, AI and Machine Learning.
  • More importantly, you have a pioneering spirit to try and implement novel technologies and processes, that 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 internal stakeholders to get an understanding of users’ needs and can independently diagnose process improvement potential and proactively suggest solutions.
  • You have the ability to describe complicated issues concisely and understandably, can efficiently communicate in writing and in person with both technical and non-technical stakeholders, and possess excellent spoken and written English skills.
Responsibilities

Please refer the Job description for details

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