Head of Data Engineering (f/m) MoneyMap

Berlin, Germany

MoneyMap is an international FinTech startup of FinLeap, a company-builder based in Berlin. MoneyMap is the first digital financial aid that automatically reduces your day-to-day costs (e.g. electricity bill). Our engine recognizes contracts in your account movements, compares tarifs and reveals where you spend too much money and helps you to switch suppliers and to cancel in order to save costs. To make MoneyMap successful, we focus on user-centered design, data protection and data security.

For our growing business we are looking for a experienced manager to build our data science team and unlock MoneyMap’s data potential. Your team will be responsible to build the core infrastructure and pipeline capabilities needed to keep data and information flowing into the models as well as support the expansion and development of model prototypes at scale and in production.

Your tasks

  • You lead the development of the core infrastructure in which large data will be analysed in order to extract actionable insights that will help drive business decisions
  • You lead the development of complex data pipelines to support production systems
  • You oversee the development efforts to bring machine learning algorithms into production
  • You  will develop new cases and expand the business in new directions
  • You hire, train and motivate an awesome data team
  • You will collaborate constantly with other functions (e.g. bus dev, product, tech) as well as work together closely in projects with cross-functional teams
  • You monitor team performance and the quality of provided results,  develop suitable recommendations for actions and communicate with internal and external stakeholders
  • You manage multiple high-priority tasks in a timely manner, and collaborate across the business

 Your profile

  • You are passionate about data, have a leadership spirit and a growth mindset
  • You hold a master’s degree in Statistics, Computer Science, Quantitative Finance, Economics or a related technical field (PhDs are welcome)
  • You have at least 2 years of professional experience in the field of data analysis and statistics and at least two years’ experience in leading a team of experts
  • You gained broad experience in data warehousing, OLAP databases, business intelligence and reporting tools, as well as in the preparation and analysis of large data (big data)
  • You have good knowledge of analytics software like R, SPSS Modeller, SAS Enterprise Miner, SAS Stat or comparable products from other manufacturers and gained broad knowledge in the application of multivariate statistics, the methods and procedures of data mining and the development of prediction models
  • Ideally, you have already gained initial experience with bank-related data (for example, a bank or a savings & loan)
  • You are fluent in German (B2 Level or better) and English and have fun working in cross-functional, international teams

About us

  • We connect technology-savvy entrepreneurs with industry leaders and have access to a well-established network in the global digital startup scene
  • We build a diverse community that is entrepreneurial, execution-focused and dedicated
  • We believe in potential and our employees fuel the company culture - we care about and listen to our people
  • We love to celebrate success
  • We provide rewarding growth, learning and career opportunities in a performance-driven environment