Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d)

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. 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?

Tasks:

• You will contribute to Statista’s Data Production mission to build an automated, at scale production machine for high-value data to empower the biggest corporates and AI-builders in the world.
• You will lead a Data Ops team with ~4 Data Engineers plus students both disciplinarily and professionally, focusing on “Data Sourcing.”
• Your team’s mission is to extract data from various sources at scale, automate processes using AI tools, store the data in a data lake environment, and process and structure it for further use or publication.
• You will be part of our Data Ops leadership team and jointly decide on strategic topics such as data value contribution, data production steering, AI & automation, and tech stack (currently: Python, BeautifulSoup, Selenium, SQL (Postgres), Docker, AWS, Airflow).
• You’ll set the objectives for your team, manage all aspects of delivery, and operationally contribute to high-priority projects in your area of responsibility.
• You’ll coordinate internally with stakeholders who require automated sourcing processes, sourced data from your team, or ingestion of large amounts of data.

Profile:

• You have a minimum of 3 years of experience in Data Engineering, Data Operations, or a similar field in a relevant context and have successfully led teams before.
• You have start-up-like motivation to shape an ambitious growth strategy and build a global data player out of Germany.
• You are perceived as a role model for tech and coding expertise and will be asked for advice and code review by colleagues.
• Your ways of working are shaped by working independently yet well-aligned; you are well-structured and organized yet impact-driven and pragmatic; you are a team player and want to “win together.”

What 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 by OpenUp.

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.

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