Data Engineer - Bois, France - Wolters Kluwer

Wolters Kluwer

Entreprise vérifiée

Bois, France

il y a 1 semaine

Posté par:

Sophie Dupont

beBee Recruiter

Description

Enablon, a Wolters Kluwer business, is the leading provider of integrated software solutions for risk management, operational risk management, EHS and sustainability.

Hundreds of industry-leading companies and millions of users worldwide rely on our solutions to mitigate risk, improve employee safety, prevent incidents and achieve compliance.

In January 2020, CGE Risk joined forces with Enablon to form a business unit within Wolters Kluwer.

From the beginning, Enablon's mission has been to help create a better world by making organizations safer, more efficient and more sustainable through technological innovation.

Today, this mission is more relevant than ever: the possibilities of Industry 4.0 data and platform intelligence make this a fantastic time for our industry.

We have an incredible opportunity to change the world we live in and do great things for the organizations and colleagues we serve.

The journey from managing risks and incidents to preventing them is extremely rewarding and we look forward to sharing this journey with our clients.

Enablon's approach to helping companies manage EHS, Operations, Risk and Sustainability does not go unnoticed. We are consistently recognized by analysts, industry associations and the media as a global leader and visionary.

Your Responsibilities

You will join the data platform team, a team with various profiles, architects, data engineer and product owners, the data team collaborate internally and externally with IA teams, data science teams, DevOps and full stack developers.

You will work on building frameworks for data pipeline supply, which involve research activities, benchmark solutions, light python programming and tests.

A big focus will be on benchmarking and testing tools for metadata / master data management and study the usage of ETLs in our data platform, involving translation of business requirements onto technical ones.