Data Modeller

At a glance

Are you an enthusiastic data modeler who inspires others to create innovative solutions? Then we need your help, in making ABN AMRO a personal bank in a digital age!

How are you going to shape innovation, advancements, and projects within your department? Our employees get the freedom to grow and experiment. You support and guide them, so they can become the technical experts that contribute to a future‑proof bank. We work hybrid, which means the balance between working from the office and remotely is determined based on agreements within the team to ensure comfort and effectiveness.

All‑in‑all, working at ABN AMRO means that you contribute to projects that matter and impact millions of customers! Are you up for the challenge?

As a Data Modeler, you will:

• Focus on gathering the requirements from stakeholders (data analysts / business developers / scientists), translating them into conceptual, logical & physical data model, then sharing the knowledge with data engineers for development
• Validate the accuracy, completeness, and relevance of the data delivered by data engineers to ensure it meets the requirements provided by the business
• Serve as the central point of contact between data analysts/scientists and data engineers, ensuring smooth communication and collaboration across teams
• Create and manage comprehensive documentation for data models, including definitions, structures, and relationships, to ensure alignment and clarity across teams
• Assist in identifying and resolving data‑related issues, ensuring timely delivery of solutions to stakeholders
• Promote data modelling best practices, standards, and methodologies, ensuring scalable and efficient data solutions
• Review and assess existing data systems across multiple domains to identify areas for improvement and ensure efficiency, scalability, and compliance.
• Develop strategies to modernize and optimize legacy systems while integrating new technologies.
• Host workshops and sessions with stakeholders to elevate their understanding of data modelling techniques and their benefits.
• Embrace curiosity and ask insightful questions to uncover opportunities for improvement.
• Challenge assumptions and the status quo to drive innovation and better decision‑making.

We are a Domain Data Store development team (Microsoft Azure data platform) that support the Analytics Centres of Expertise (CoEs) and create business value from data, by enabling data analytics, data science and reporting within the Data Domains of Accounts, Savings & Transactions, and Insurances (AST&I). The AST&I Data Domains are within the Transaction Banking product unit, which covers a vast portfolio of products: accounts, payment cards, packages, savings, insurances, open banking APIs, trade finance, digital products like Apple Pay/ Google Pay etc.

and associated Sales, business & risk management processes. We contribute significantly to the revenue of the bank by strengthening data driven decision making, also cater to different regulatory and operational topics, and we want to continue and improve on this path to Product Excellence. Our stakeholders apply business intelligence & (advanced) analytics to explore, research and gather valuable insights; and we provide the data foundation and platform to perform these activities.

The Domain Data Store team consists of 15+ members (Product Owner, Data Engineers, Machine Learning Engineers & Data Modelers) and are based across the Netherlands and India. We value diversity and inclusion and the team atmosphere is dynamic, open and informal.

We follow agile principles and work on cross grid and cross functional initiatives while collaborating with business experts, business developers, product owners, seniors and leaders – hence providing a golden opportunity for networking and serving as a knowledge haven. We have developed a culture where entrepreneurial spirit, empathy, element of fun and celebrating successes is truly appreciated. We do this by respecting and living bank’s values:
Care, Collaboration and Courage!

• You're living in the Netherlands. If you live abroad and still apply, we will not consider…