Data Modeler

Job Title

Data Modeler

Job Description

Note: For candidates residing in India, the work location will be Pune and for candidates residing in the Netherlands the work location will be Veghel.

Veghel/Pune, The Netherlands/India

Are you passionate about unravelling the potential of data and turning it into valuable insights? Do you thrive on collaborating with technical and business stakeholders to shape the future of data-driven solutions? If your answer to these questions is “yes”, then look no further than Vanderlande!

Join our Central Data & Analytics Organization as a Data Modeler, where you'll play a crucial role in interpreting use case and transforming them into logical data models.

We’ll give you the opportunity to:

• Work in a highly motivated, global team of Data & Analytics enthusiasts.
• Play a crucial role in advancing the maturity of the Data Platform, contributing to delivery of analytical products and services offered by our department to the Vanderlande organization.
• Work within a cloud based architecture based on Data Mesh principle

Your responsibilities

In the role of Data Modeler, you will play a crucial role in interpreting use case information requirements and collaborating with technical and business stakeholders to gain insights into the organization's business structure and supporting applications. Your primary responsibility will be to translate this knowledge into a well-defined business data model. This model serves as a foundational element enabling the delivery of desired data products.

As a Data Modeler, your primary focus centers around being an integral part of a full stack team, with the potential to oversee and contribute to multiple full stack teams' responsibilities. In this role, you can easily transition between effectively conveying and communicating requirements to engineers, as well as efficiently understanding and receiving requirements from diverse stakeholders.

In this role, you:

• Interpret the story behind use cases to understand the underlying business requirements and objectives.
• Contribute to further detailing information requirements for data solutions, fostering a structured and streamlined approach to our working processes.
• Conduct interviews with technical and business stakeholders to gather comprehensive knowledge about the business structure and supporting applications.
• Transform acquired knowledge into a business data model that meets the business needs and use cases.
• Identify and define data products, serving as essential and re-usable data accessing points.
• Consult with ICT stakeholders to create mapping strategies for multiple source systems to effectively populate the data products.
• Review and approve mappings from source systems to data products.
• Having proficiency in utilizing Python, PySpark, and SQL for retrieving and manipulating data would be a valuable asset, but is no hard requirement.

Your department

The Central Data & Analytics department is tasked with extending, operating and further maturing the data platform of Vanderlande. We provide Data & Analytics related products and services to Vanderlande, primarily catering to internal customers, but supporting our digital service portfolio. Following a hub & spoke model, we establish centralized standards that are then adopted and implemented by decentralized teams within the business.

At the heart of our efforts lies the Data Platform, the core product we are diligently enhancing. This Azure cloud enabled platform based on the Data Mesh principle empowers us to deliver valuable Data Products by transforming, processing, combining, and enriching data from various source systems, ultimately creating a reliable source of truth for our customers. To enable efficient data analysis and visualization, we actively govern, and maintain the Vanderlande Qlik Servers and Power BI Premium capacity. In addition, we provide templates, establish a clear workflow, and foster a community of experts.

Our work centers around our Federated Governance model, with the Central Data & Analytics Organization as the hub serving the spokes. Our scope encompasses Data Governance, Platform Operations, Core Platform Development, and Full stack Development. The technologies we use span across the Azure stack and Databricks ecosystem, ensuring seamless integration and optimal utilization of resources. By utilizing advanced analytics techniques and the latest technology, our focus on innovation empowers us to continuously improve and innovate the Data Platform.

Operating as a scaled Agile organization, we embrace the SAFe Agile framework and work collaboratively across different teams, all un