Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d)
Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d)
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Job Description
At Statista were all about facts and data for we are the worlds 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
Tasks:
You will contribute to Statistas Data Production mission to build an automated at scale production machine for high-value data empower the biggest corporates and AI-builders in the world
As such you will lead a Data Ops teams with 4 Data Engineers plus students both disciplinarily and professionally focusing on Data Sourcing
Your teams mission is to extract data from various sources at-scale automated and 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 tech stack (currently for this team: Python BeautifulSoup Selenium SQL (Postgres) Docker AWS Airflow)
Youll set the objectives for your team manage all aspects of delivery and will operationally contribute to high-priority projects in your area of responsibility
Youll 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 lead teams successfully 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 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 with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Employment Type
Full-Time
