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ING is a frontrunner in the transformation of banking and a company that puts technology at its heart. At ING, we believe all sustainable progress is driven by people with the imagination and determination to improve their future and the futures of those around them. We empower people and organizations to realize their own vision for a better future.
If you have experience in data modeling, here is your chance to work in a professional environment as a Corporate DWH Data Modeler. You should be proficient in data modelling technics, understand the Entity-Relationship Data Modelling, be able to interpret logical and conceptual data models and to explain these models in a natural language. In order to deliver/review end to end solutions you should be able to use SQL language and understand what happens within an ETL job (DataStage preferred).
Join us! Together we can build the next generation of digital banking!
The Data Modeler will drive, define, develop and maintain the conceptual, logical and physical data models, and support business terms creation/definition within the Glossary Hierarchy. He/she will act as a liaison between the business analysts and the development team. On one side he/she should be able to understand the end-user requirements and identify business needs; on the other hand, he/she should identify the golden source for each business term, model the business terms within the conceptual and logical models, create source to target mappings and find implementation options together with developers. At the end the solution will be presented for review & acceptance to both teams (business and developers).
Your Day to Day
- Based on the input of business representatives refine requirements and translate them into business terms and conceptual models
- Deliver according to the agreed principles and quality criteria: data requirements; business terms definition; conceptual, logical and physical Data Models; requirements mapping and documentation necessary for shipping via group/local deployment packages to the Data Lakes
- Responsible of creation of source to requirements mappings for the business terms defined by the business analysts and source to target mappings for the logical & physical model
- Provide ongoing support to Dev Team during development phase
- Report on the process and communication to stakeholders
- Promote and support the usage of the data models in the ING organization (not only for DWH)
- Set up and maintain way of working, design principles, standards and guidelines for local and group Data Lake components
- Collaborates with programmers, testers, other development teams and business users
- Accurately and concisely articulate issues, questions, recommendations to customers, team members, and management. Proactively identify issues and concerns
- Provides training, documentation and support for business user and other support lines.
What You Bring to The Team
- University degree in Computer Science or other related fields preferred; equivalent experience will be considered
- 3+ years of proven experience in the role of Data Modeler in a Data Warehouse or reporting environment.
- Strong understanding of data warehousing, data modeling, ETL, database design, business intelligence and their processes
- Proven broad experience with data modelling tools and methods
- Experienced in understanding business terms, understanding of the importance of definitions and meaning of words
- Strong knowledge of SQL
- Excellent communication and didactical skills
- Good level of English.
Considered a Plus
- Knowledge of banking processes and products
- Experienced in agile way of working
- Knowledge of and experience with the IBM’s BDW models / other industry model
- Knowledge of and experience acting within business area of financial institutions and within data management organizations
- Experience as Senior DWH Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution follow-up & guidance).
- Good in problem analysis and judgment – you evaluate the impact of architectural decisions, actions, choices, risks and updates and their impact on the organization
- Autonomous in executing tasks, preparation of advice, and decision making about the implementation
- Persistent – you deal with conflicts of interest and obtain a good and acceptable end solution
- Communicative and persuasive – you can document in a comprehensive way to non-IT colleagues the decisions taken.