Product Modeler for Data Products CoE

The Data Product Modeler will analyze and detail data assets necessary for Danske Bank’s strategic initiatives. In this position, you will collaborate closely with selected business and IT units to deliver a consolidated view of the logical and physical data models, forming the backbone of shortlisted data products. Additionally, you will contribute to establishing modelling processes and guidelines for future use cases, supporting knowledge transfer and upskilling of data product teams during the implementation phases.
 

As part of the Data Products CoE, you will operate in a federated agile setup with a flat hierarchy and a customer-focused approach. Your contributions will directly influence the bank's strategic initiatives and enhance customer satisfaction through the adoption of data products.
 

You will

In this role, you will lead and refine the design stages of shortlisted data products to ensure they align with business requirements and are technically viable. You will collaborate with IT and business units to analyze and detail data assets for these data products. Your efforts will be critical in developing and delivering a consolidated view of logical and physical data models as part of data contracts.

Furthermore, you will

• Utilize data modelling tools effectively to ensure the quality, accuracy, and reusability of data product models during development.
• Act as a key contributor to the development of modelling processes and documentation guidelines for future data product use cases.
• Contribute to the development and enhancement of templates and step-by-step processes, establishing best practices within the field to be used by our organization.
   

We imagine that you have

• 5-10 years of relevant experience as a Data Engineer or Data Analyst.
• Extensive experience in data modeling, data cleansing, ETL processes, and query performance optimization.
• Proficiency with data modeling tools such as Erwin, ER Studio, and Oracle Designer.
• Experience in developing data solutions using Python and SQL.
• Extensive experience with OLAP tools like Microsoft Analysis Services, Business Objects, and Crystal Reports.
• A degree in Data Engineering, Business Analysis, Programming, or a related field, or equivalent experience.
• Previous experience in the financial industry or banking sector.
• Experience with ETL tools like Microsoft DTS/SSIS, SSRS, and Informatica is a plus.
• Database administration experience and familiarity with data engineering in PySpark and SQL are advantageous.
   

Apply

If you have further questions, you are welcome to contact Co-Head of AI & Data Products, Michael Thruesen at mthru@danskebank.dk.

We are looking forward to receiving your application. We are processing applications on a continuous basis so please apply as soon as possible.