Data Engineering Lead - Data & AI Tools (m/f/d)
Statista
About this role
The Data Engineering Lead at Statista is responsible for guiding a team of Data and AI engineers in developing advanced AI-powered solutions and scalable cloud infrastructure. This role involves driving the end-to-end process of creating automation frameworks, streamlining workflows, and integrating the latest AI methods while collaborating with stakeholders to align projects with organizational goals. Candidates should have over five years of experience in Data Engineering or Software Engineering, strong Python skills, and familiarity with cloud services and orchestration tools.
Skills
About Statista
www.statista.comStatista is a leading online statistics portal that provides access to a comprehensive database of market data, consumer survey results, and industry studies from over 22,500 sources across more than 60,000 topics. It serves as a valuable resource for researchers, marketers, and business professionals seeking reliable and relevant statistical information to support their strategic decision-making. With a user-friendly interface and advanced search capabilities, Statista helps users quickly find and utilize the data they need to inform their analyses and reports.
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About Statista
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Statista.
Salary
$138k – $182k
per year