Experienced Data Science Engineer for Commercial Insights
Location: Alphen aan den Rijn, Netherlands or Bois-Colombes/Paris, France
Hybrid (2 days/week in office)
As a Data Science Engineer at Enablon (part of Wolters Kluwer group), you will independently execute specialized tasks that significantly impact our data-driven insights. Your expertise will support high-quality project outcomes, ensuring the optimal setup of our data landscape and the delivery of insightful dashboards and analyses. You will collaborate closely with management, contributing to the continuous improvement of BI processes and fostering data-driven innovation within the organization.

Your tasks and responsibilities:

• Integration of data from various sources to ensure accuracy and reliability.
• Building data models and implementation of technical solutions, including coding, scripting, and the use of various data engineering tools and technologies. You will make use of Microsoft Fabric for building those models.
• Close collaboration with stakeholders across the organization to monitor and maintain data quality, working closely with the Associate Director Strategic Program Management.
• Maintenance of various systems and tools, such as Salesforce, SAP, Pendo, ServiceNow and others.
• Create and maintain dashboards for various commercial user groups that help them gain actionable insights on operational and strategic level.

What makes this role fun?
As a Data Science Engineer, you’ll be involved in various data projects across the entire Enablon organization, offering a dynamic mix of project diversity. You will have the rare opportunity to build the data landscape from scratch and therefore have a major impact on the Business. From the very beginning, you’ll have the opportunity to critically challenge stakeholders on their needs —enhancing your impact on both the final results and the quality of delivered solutions.

About You

• You hold a Bachelor degree or higher.
• You have approx. 4 years of working experience; ideally in an engineering-related role.
• Experience with ETL processes and Data Governance.
• Experience with data modelling and data mining
• Advanced Excel and SQL skills.
• Experience with data visualization tools such as Power BI, Looker, or Tableau.
• Good understanding of the software industry and its commercial processes
• Strong analytical skills and a keen eye for detail.
• Excellent communication skills and ability to communicate insights clearly.
• Fluent in English, French is a plus.

What do we offer?

Next to a compensation and benefits package in line with the market, we also offer the following:

• a flexible, hybrid work setup;
• laptop
• an engaged, diverse, and quality driven team;
• a culture that celebrates diversity and values talent.

Wolters Kluwer invests continuously in the growth and competencies of its employees by giving them many opportunities to develop.
About Wolters Kluwer and Enablon
Join us at Wolters Kluwer and be part of a dynamic global technology company that makes a difference every day through our deep domain expertise.
We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.
Enablon is the name of our software package for EHS, Risk and Compliance Management. Our partners are oftentimes multinational companies all over the world that have to deal with health and safety risks. You can find more information on Enablon | Wolters Kluwer
Interested in the role of Data Science Engineer?
Please apply hitting the Apply button. If you have questions, reach out to Claudia Funk (claudia.funk@wolterskluwer.com) or via phone at +31 6 15136211.
If making a difference matters to you, then you matter to us.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process

• Integration of data from various sources to ensure accuracy and reliability.
• Building data models and implementation of technical solutions, including coding, scripting, and the use of various data engineering tools and technologies. You will make use of Microsoft Fabric for building those models.
• Close collaboration with stakeholders across the organization to monitor and maintain data quality, working closely with the Associate Director Strategic Program Management.
• Maintenance of various systems and tools, such as Salesforce, SAP, Pendo, ServiceNow and others.
• Create and maintain dashboards for various commercial user groups that help them gain actionable insights on operational and strategic level