(Senior) Data Engineer (f/m/div)

Berlin

Festanstellung

Vollzeit

finleap connect GmbH is a joint force of finleap companies, offering a full range of leading fintech solutions to financial institutions across Europe. We cater to clients’ requirements, from stand-alone microproducts to all-in-one solutions, we ensure that all levels of digital maturity are covered by our services. Our focus now lies on growth internationally, with experienced fintech experts in France, Italy, and Spain leading the charge.

Join finleap connect as a (Senior) Data Engineer. Help us to build the most powerful online transaction categorization product. You will be in charge of feature engineering, training our models and choosing the right python frameworks to make this happen. Collaborate with other inspirational leaders, smart entrepreneurs and highly skilled teams to scale our products together with our Head of Product.

(Senior) Data Engineer (f/m/div)

Berlin

Festanstellung

Vollzeit

finleap connect GmbH is a joint force of finleap companies, offering a full range of leading fintech solutions to financial institutions across Europe. We cater to clients’ requirements, from stand-alone microproducts to all-in-one solutions, we ensure that all levels of digital maturity are covered by our services. Our focus now lies on growth internationally, with experienced fintech experts in France, Italy, and Spain leading the charge.

Join finleap connect as a (Senior) Data Engineer. Help us to build the most powerful online transaction categorization product. You will be in charge of feature engineering, training our models and choosing the right python frameworks to make this happen. Collaborate with other inspirational leaders, smart entrepreneurs and highly skilled teams to scale our products together with our Head of Product.

Das Angebot an Dich

  • Tech driven & team-focused
  • A dynamic, fast-paced environment where you’ll be working with a diverse workforce of over 150 connectors from over 35 different countries
  • Think we can do better? We’re all ears! A creative and progressive work environment is guaranteed – we’re in the business of disruption!
  • You’ll be joining a major player in Berlin’s famous start-up scene… and we’re only just getting started!

Deine Aufgaben

  • Working directly with the Head of Product of the financial insights team
  • Define the data strategy of the categorization product
  • Exploring different models and approaches, testing different combinations of them in order to deliver the perfect solution for our use cases
  • Advise on the effective use of Machine Learning, specific Algorithms and general data processing practices
  • Dealing with big amounts of data and constantly refilling the architecture in order to make it scale successfully
  • Getting on the current IT architecture and creating/adapting the future strategy by supporting engineers in selecting and developing the most suitable data infrastructure and tech stack
  • Focus to enable, foster and advocate for best-in-class modern engineering methodologies like SCRUM, clean-code, test-driven development, quality by design and pair-programming

Deine Qualifikationen

  • An extensive hands-on experience in building Machine Learning systems, working in a data-driven environment, decision-making based on data.
  • Proven experience in creating Data Models and putting them into practice
  • Great communication comes naturally to you, both with your team and with the senior management team
  • The ability to make decisions independently and confidently when needed to shape the product’s further development
  • Not being afraid to be involved in hands-on coding and engineering
  • An ability to bring in new ideas to further improve our tech-related company culture and brand
  • An entrepreneurial mindset with a creative approach to problem solving
  • We deploy our software on a Kubernetes based state-of-the-art environment. We use Python, ReactJS and NodeJs wherever needed
  • Fluency in English is a must, German is not required
Suche etwas
Schliessen