Are you ready to take the next step in your career as a Data Modeler and contribute to the development of a solid Finance data infrastructure at NN Group? If so, read on!

For the development of a robust Finance data infrastructure, a solid data model in our Group data systems (with ALFRED as the backbone) is required. Data coming from various sources is likely to have a source-specific structure and must be harmonized and standardized. Group Finance has an endorsed Data Vision, in which the application of a standardized exchange format (NEF) is prescribed. One of the applications where different source data comes together is the Aptitude Accounting HUB (AAH). The capability supported by AAH is to create accounting under applicable General Accepted Accounting Principles.

Our objective is to standardize the accounting creation capability across NN and offer a standardized service to more business units. This means that a Standard Exchange Format is a must-have for the incoming interfaces. We are looking for a Data Modeler, preferably with experience in the Finance & Risk domain, to help us with this challenge. The Data Modeler is a key role as a linking pin between business (data) users, report developers, data engineers, Product Owners, the data management teams, and management.

What you are going to do

Play a key role in defining a standardized Data Exchange Format that must be used by the supplying sources to feed business event data to the target systems
Set up and maintain the logical description of the exchanged Data Objects in Powerdesigner and the physical data-exchange pattern
Collaborate with technical teams to define the physical data-exchange pattern
Work with business users and solution teams to define and implement nonfunctional exchange requirements (e.g., frequency, data quality rules, validations)
Document data objects and attributes in Collibra, including specifics like data ownership, data lineage, and data products
Familiarize yourself with the Common Data Model (CDM) for ALFRED, NN's Finance & Risk Data Platform, and perform data modeling to create and update high-level conceptual business models, entity-relationship and dimensional logical data models, and detailed physical database design models
Create functional and technical designs on data structures for data engineers, maintain data dictionary documents, table and data lineage models, and produce artifacts to support data engineering and communication with business (data) users
Implement data strategies, build data flows, and develop conceptual, logical, and physical data models
Assist other roles (Product Owner, Business Analyst, Data Engineer, Tester, Architect) with requested information during implementation phases
Ensure data integrity, consolidation, consistency, and metadata development in conjunction with data architecture and information architecture professionals, providing functional expertise support and guidance on test coverage and results

What we offer you

NN invests in an inclusive, inspiring work environment and in skills and competencies for the future. We match this with employee benefits that meet today's needs and future demands, offering our employees the opportunity to excel. We provide:

Salary between €5,363 and €7,661 (based on 40 hours), depending on your knowledge and experience
13th month and holiday allowance paid with your monthly salary
27 vacation days for a 5-day working week and one Diversity Day
A modern pension administered by BeFrank
Plenty of training and learning opportunities
NS Business Card 2nd class for unlimited travel, including private use alternatively, you can declare kilometers traveled with your own transport
Allowances for setting up your home office and for internet use

Who you are

You are an expert in data modeling, data architecture, and data solution design, capable of explaining these concepts to various stakeholders with different backgrounds. You have hands-on experience with conceptual, logical, and physical data models to ensure vertical data lineage and experience with data modeling tools (such as Power Designer, Enterprise Architect, Erwin, Oracle Data Modeler, Infosphere Data Architect).

You focus on the explain ability and long-term quality of data models, ensuring they reliably and measurably add value both now and in the future. You help the team by setting clear priorities based on the potential value of data models.

With your positive critical thinking, you continuously contribute to the further development of the Data & AI team. You have:

At least 5 years of experience working in data modeling
Expert knowledge of data and metadata management, data modeling, and data modeling tools (such as Power Designer)
Strong knowledge of database and data warehousing design patterns
A keen analytical mindset
Hands-on experience with enterprise Big Data platforms and a good understanding of the latest data technologies, preferably in an environment where Microsoft Azure data technologies (Databricks, Data Factory, ADLS, etc.) were used
Experience with Agile/Scrum and DevOps way of working
Preferably previous experience in the Finance and/or Risk domain in the Insurance or Banking industry

Who you will work with

You will be part of the Group Finance team. We are a growing team of specialists passionate about data and AI solutions, with ample room for personal growth and development. You will collaborate closely with other IT, business, and staff departments to deliver AI solutions.

Your employer will be NN Group, an organization offering many opportunities. You will work within the Finance business unit.

Additionally, you will be a member of the Data Science Guild, where approximately 70 Data Scientists meet to exchange knowledge and experiences. We believe that every Data Scientist can learn from peers and teach others in the community, accelerating your career and delivering maximum value with our AI solutions.

Any Questions

If you have any questions about the job or process, please reach out via phone, WhatsApp, or email to Joost Stroes, Sr TA Consultant, at joost.stroes@nn-group.com.