We are Visual Meta, a successful & profitable internet company founded in 2009 and acquired by the Axel Springer Group in 2011. Operating from our well-designed office in the middle of Berlin, we run 13 comparison shopping portals in Europe under the brands LadenZeile and ShopAlike. Together, the sites drive up to 500,000 sessions a day, list 200 million offers from thousands of online shops and help consumers save time and find the product they love.

Our vision is to become a top reference for connecting online shops and consumers by creating reach for the shops and orientation for the consumers through cutting-edge tools and technologies. We work with the professionalism of a successfully grown company, while fostering the culture of a start-up. Our office is like a micro melting pot, where inspired individuals from all over the world connect their cultures, ideas and skills. In an atmosphere that is built on appreciation – right from the start. Every one of our 219 employees plays a vital role in our success story. If you want to be part of that and actively shape the future of e-commerce, then seize the opportunity and join our team!



  • Leading the transformation of the company into a truly data-driven organisation
  • Understanding key drivers of business performance and providing support with your expertise
  • Taking ownership of the data area consisting of three teams (Data Engineering, Business Intelligence & Reporting and Machine Learning)
  • Building and continuously adjusting the roadmap to ensure the future viability of both the data area and its services towards the entire company
  • Building a high performance organisation by advancing the skills and knowledge of your teams
  • Establishing agile yet stable processes



  • Profound experience with managing large scale technology projects
  • Outstanding technical knowledge regarding modern data infrastructure & technology, spanning across the areas of data integration, data storage & modelling, and data reporting & use in production (machine learning applications)
  • Deep knowledge of concepts regarding modern Business Intelligence
  • Strong analytical skills, business acumen and technological understanding
  • Knowledge of e-commerce, digital marketing, and digital business models in general
  • Familiarity with tools like Tableau, Impala, Hadoop, S3, Snowflake
  • Excellent English language skills
  • Degree in business, economics or technical subject is a plus



  • Be part of our agile environment, work with the latest technology and participate in regular tech-events (e.g. Hackathons, TechTalks) with the opportunity to join Tech Conferences
  • We love diversity – Our team contains over 50 nationalities
  • We see your development as our priority – Benefit from a structured onboarding process, internal and external training possibilities as well as room for further professional development
  • We take responsibility – With us, you have the option to become socially involved (e.g. charity lunch)
  • We care for you – Benefit from a company pension plan, flexible working hours, 27+ vacation days, healthy snacks and sport activities (yoga, soccer, volleyball)
  • We enjoy spending time together – Join in for Friday beers, movie nights, team events, table football and ping-pong



Go ahead and submit your application in English including CV, salary expectations and your availability. Your designated Talent Acquisition Manager Lascha Barbakadze is looking forward to your application!