Data Team Lead (Budapest)

Data Team Lead (Budapest)
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Our multinational client is in Europe since 1990. Their center is in Germany, but it is growing internationally and also on the Hungarian market.

The client wants to create a new part of the company, and they want to organize a "Data Center" for this greenfield project. 

Data Team Lead


  • Strong leadership skills (disciplinary and functional Leadership: <12 FTE) and the ability to motivate and inspire people
  • Strong performance orientation
  • High service orientation, customer-oriented thinking and acting 
  • Strong solution-based attitude, quality awareness as well as accurate concerning compliance
  • Very good communication skills and team player with a good sense for different cultures
  • Strong commitment, motivation and high enthusiasm
  • Excellent English skills in speaking and writing (C1/2)


  • University degree (or comparable) in business administration, (business) informatics, (business) mathematics or related studies 
  • Minimum of 5 years of practical working experience in the area of data analytics, data mining or related fields, preferably within Finance and Controlling 
  • Very good knowledge in the fields of analytics, statistics & mathematics (incl. (financial) modeling, machine learning, artificial intelligence, forecasting, predictive & prescriptive analytics, hypothesis testing etc.)
  • Experience in leading teams of employees and profound experience in project management

Amit kínálunk

  • Establish, lead and further develop the FIBS ‘Data Center’ with Experts for Data Science, Orchestration and Systems with around 10 employees in Budapest (as a satellite team) in close collaboration with colleagues in Krefeld
  • Leadership, coordination and development of the data center team in HUN
  • Definition, implementation and continuous improvement of data analytics and data engineering approaches in close collaboration with headquarter
  • Creation, development and implementation of state-of-the-art data analytics and data engineering standards such as procedures, templates, etc. 
  • Development of approaches to transform (raw) data into valuable insights and information by developing and adapting algorithms and adv. analytics apps according to specific business requirements

Munkavégzés helye



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