RiverBank is recruiting an ambitious Data Engineer RiverBank is recruiting an ambitious Data Engineer …

Riverbank SA
in Paris, Ile-de-France
Permanent, Full time
Be the first to apply
Competitive
Riverbank SA
in Paris, Ile-de-France
Permanent, Full time
Be the first to apply
Competitive
Posted by:
Susanne Schramm • HR Manager
Riverbank SA
Posted by:
Susanne Schramm
HR Manager
We are looking for a Data Engineer to work alongside the Data Scientists and the Software Engineers to build scalable and maintainable solutions. 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: • Process automation and optimization (RPA) • Data collection (scrapping and storage) • Data processing pipelines • High performance/parallel computing • Build APIs

RiverBank’s is a niche lending specialist designed to execute at speed and underpinned by banking software, data science and credit intelligence enabling fast, flexible and highly accurate lending decisions.  Through this we aim to be the leading SME and Real Estate lender in Europe.

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 15 nationalities.

At RiverBank, we cherish our employees and foster a culture of learning and improvement. From your first day - where you will join a dedicated program to ensure your integration is successful - until many years later, you will be given the required resources to develop personally so that your career at RiverBank gives you a meaningful and lifelong learning experience

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:

  • Development of different type of APIs for business needs: data access tools, scrapers, etc.
  • Setting up pipelines to automate the various stages of data collection from extraction to storage.
  • Be involved in the deployment of the Data Scientists solutions.
  • Work with Data Scientists but also with other IT departments (such as DevOps, Software Engineering) and Business lines to be the guarantor of created solutions.
  • Understand the needs of the business lines, work proactively by responding to requests but also by being proactive in making proposals.
  • Be part of the team designing, building and maintaining the Data Platform and Machine Learning platform of RiverBank.

Qualifications and skills required

  • Degree from a major engineering school or equivalent master’s degree.
  • Proven Data Engineering experience (> 1 year).
  • Expertise in Python with the knowledge of web frameworks like Flask or FastAPI.
  • Valid experience with SQL and NoSQL databases
  • You like clean code and version control using tools like Git.
  • Familiarity with Unix and Windows operating systems.
  • Familiarity with the following technologies is a plus: Docker, Kubernetes, Kafka, Kubeflow, Airflow, Spark.
  • You are passionate about the Data world: having followed the news, blogs, MOOCs, etc.
  • Financial knowledge will be appreciated but is not mandatory
  • Good team spirit, 100% involved in the activity
  • Start-up spirit!
Company Overview

RiverBank is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

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