(Junior) Data Ops Engineer - Data Sourcing

Statista, the world's leading business data platform, is seeking a (Junior) Data Ops Engineer to join their Data Production & Partnerships team. Founded in Hamburg in 2007, Statista has grown into a global company with offices in major cities worldwide. The role focuses on data extraction and pipeline development, working primarily with Python-based tools and PostgreSQL databases.

The position involves developing and maintaining internal tools for data sourcing, contributing to big data architecture projects, and ensuring high data quality. You'll work with technologies like Pandas, Scipy, PyPDF2, Requests, Tesseract, Selenium, and Docker. The ideal candidate should have strong Python and SQL knowledge, with experience in data pipeline development and excellent communication skills.

As part of the Product Division, you'll join a team of over 400 experts, including researchers, analysts, product managers, and data engineers, working together to provide integrated product experiences. The company offers a diverse and inclusive culture, with various benefits including hybrid work options, international work opportunities, and career development programs.

This is an excellent opportunity for someone looking to grow in a data-focused role while contributing to a platform that empowers people worldwide to make fact-based decisions. The position offers both technical challenges and the chance to collaborate with various stakeholders, making it ideal for someone who enjoys both technical work and cross-functional communication.