Data Engineer

Company:
Location: Paris (75)

*** Mention DataYoshi when applying ***

Diffusée par:
Susanne Schramm
Recruiter

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In a context of strong growth, we are looking for a Data Engineer dedicated to machine learning and data analysis. Given the very strong growth of RiverBank, this position will require the ability to work on a wide range of tools for different business tasks

RiverBank is a specialised lender dedicated to financing Small and Medium Enterprises and Real Estate firms in the Netherlands, Germany and France. RiverBank operates under a full European Banking License allowing to cover all European countries.

RiverBank’s mission is to combine the best of the fintech and banking world. As experienced bankers, we commit the bank's balance sheet to grant loans which we analyse using a fundamental credit approach. As a fintech player, we digitally source, process and monitor the loans. Riverbank is growing fast both organically and through acquisitions.

As a young company, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team work. RiverBank will offer an entrepreneurial environment within the regulatory banking framework - a place for people to learn, to achieve and grow. Our culture will promote diversity and individual perspectives in an international environment, represented by more than 10 nationalities.

In a context of strong growth, we are looking for a Data Engineer dedicated to machine learning and data analysis. Given the very strong growth of RiverBank, this position will require the ability to work on a wide range of tools for different business tasks:

  • Credit scoring
  • Credit risk
  • KYC
  • Regulatory reporting
  • Digital marketing.
  • Process automation and optimization (RPA)
  • Data collection and processing

Primary Responsibilities:

We will ask you to have the flexibility of the startup mindset that we also have. There are several subjects that can be covered by this job offer:

  • Participate in Data and Machine Learning platform creation and maintenance.
  • Development of different type of APIs for business needs. (Data access tools, scrapers, etc.)
  • Setting up pipelines to automate the various stages of data acquisition, from extraction to storage.
  • Work with Data Scientists to be the guarantor of created solutions.
  • Understand the needs of the business entities, work proactively by responding to requests but also by being proactive in making proposals.

Qualifications and skills required:

  • Degree from a major engineering school or equivalent master’s degree.
  • Data Engineering training will be preferred but is not a prerequisite.
  • Expertise in Python with the knowledge of web frameworks: Flask/FastAPI
  • Valid experience with SQL and NOSQL databases
  • Familiarity with Unix and Windows operating systems
  • You like clean code and version control (Git)
  • Familiarity with the following technologies is a plus: Docker, Kubernetes, Kafka, Kubeflow, Airflow
  • You are passionate about the Data world: having followed MOOCs, Kaggle competitions or equivalent…
  • Financial knowledge will be appreciated but is not mandatory
  • Good team spirit, 100% involved in the activity
  • Start-up spirit!

*** Mention DataYoshi when applying ***

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