Data engineer – data factory
Job Description
Diversity and Inclusion
Proud to make Diversity a strength for our company, Crédit Mutuel Alliance Fédérale is committed to recognizing and promoting all talents without distinction, regardless of their gender identity, disability, age, social and cultural origin, sexual orientation, membership of a political, union or minority organization, or any other characteristic that may be subject to discrimination.
Who are we ?
Euro-Information, a technology subsidiary of Crédit Mutuel Alliance Fédérale, designs, builds, maintains and operates a common information system used by the Group.
National and international IT development and production activities are carried out by approximately 4,000 employees spread over several geographical sites at national level: Strasbourg, Nancy, Dijon, Orléans, Lyon, Lille, Cergy, Val de Fontenay, Paris and Nantes.
The first bank to adopt the status of company with a mission, Crédit Mutuel Alliance Fédérale invests and is committed to various social and environmental missions:
The support of all by our cooperative and mutualist organization remains at the heart of our DNA.
Technology at the service of humans is a reference in our connected world.
Solidarity and eco-responsibility are becoming key axes in our development.
Our purpose: Together, Listen and Act.
Your missions
Do you want to join a dynamic and human-sized team within a solid company and a large group in constant development? Do you want to work on an issue of today and even more of tomorrow: data? Euro-Information, the Fintech of Crédit Mutuel Alliance Fédérale structures a Data Factory to:
Accelerate the valuation of data through mass analysis and models going as far as predictive.
Respond to the trust of our customers by guaranteeing the security of their data and responsible and supervised use, respectful of their privacy.
The EI Data Factory is positioned as a solution provider for IT teams and for all group entities and as a facilitator of exchanges and pooling. To carry out these missions, the business relationship is essential. It brings together:
Data Architects. They provide the environment, the tools and ensure their performance and constant evolution.
Data Engineers. They have control of the data, from its collection to its provision adapted to the needs of the businesses. They design the data recording models.
Business Intelligence Designers. They simplify, pool and industrialize reporting.
Data scientists. They support businesses and entities on Data Science, they carry out custom work on high-stakes subjects.
Data Officers. They coordinate and pool energies on Data projects as well as in the context of Governance and data administration.
We are looking for a Data Engineer.
You will participate in the implementation and maintenance of the group’s Decisional Information System.
For banks, consumer loans and subsidiaries, in France and abroad:
Understanding of the activity and needs of your customers, in dialogue with the MOA
Understanding of the production IS, in dialogue with the MOE teams
Modeling of the Decisional Information System
Design and production
Diagnosis of malfunctions encountered
Corrective and evolutionary maintenance
Support for the various trades
Technical documentation
Treatment follow-up
Reporting associated with developments
Autonomous management of small-scale projects
You will work on a wide variety of projects in various professions and on dozens of entities managed on the Euro-Information IS: electronic banking, real estate, security, accounting, employee savings, etc.
You work on international projects on Vertica, Hadoop, SQL Server, Stambia, SAS, Business Objects, Data Services, QlikSense, etc.
You participate, coordinate and carry out data recovery projects on concrete use cases:
Participate in end-to-end projects: from the expression of the need to the realization and monitoring of its performance in connection with the MOA and our Data Officers
Mobilize all stakeholders: Business, Data scientists, Data engineers, data sources, etc.
Enlighten and participate in decision-making.
Share work and good practices between the actors and the different businesses of the group.
Accompany the change. Within your projects and beyond, you bring Data acculturation within the group.
