- Execute ING's Esperanto process based on an Agile way of working and alignment with the other chapters and stakeholders;
- Based on the input of business representatives refine requirements and translate them into business terms and conceptual models.
- Deliver according to agreed principles and quality criteria: ING Esperanto business terms, Conceptual Data Models, data requirements, Logical- and Physical Data Models, requirements mapping and documentation.
- Supporting, coaching and training of colleagues in ING on ING Esperanto;
- Work in close alignment with the DevOps team, final data consumer and countries on the solution development, testing and release
- Report on the process and communication to stakeholders.
- Maintaining and supporting the usage of the data models in the ING organization;
- Maintaining business terms and definitions, including data quality requirements and additional meta data;
- Set up and maintain design principles, standards and guidelines for Esperanto components and way of working;
- Data analysis and issue investigation that implies medium to complex data aggregation and data processing.What you bring to the team:
- Previous banking experience: working with financial products and/or regulatory requirements (3 years plus)
- Bachelor's degree in Computer Science or related field;
- Understanding of Data Management and/or IT architecture areas;
- Strong Knowledge of SQL and database concepts;
- Understanding of Entity - Relationship Data Modelling / Dimensional Data Modelling, being able to interpret logical and conceptual data models and able to explain these models in a natural language;
- Experience with data modelling methods and tools (like Power Designer, InfoSphere Data Architect);
- Data Warehousing / Data Modelling / Database Design;
- Excellent written and verbal communication English skills.Nice to have:
- Knowledge with the IBM's BDW models;
- Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution follow-up & guidance);
- Knowledge of and a vision on data management and affinity with IT.
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Senior Data Modeler - Bucharest, România - ING
Descriere
Discover ING Hubs Romania
We started out in 2015 as ING's software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.
Formerly known as ING Tech, as of 2022 we provide borderless services with bank-wide capabilities under the name of ING Hubs Romania and operate from two locations: Bucharest and Cluj-Napoca.
With the help of over 1600 engineers, risk, and operations professionals, we offer 130 services in tech, non-financial risk & compliance, audit and retail operations to 24 ING units worldwide.
Our tech capabilities remain the core of our business, with more than 1300 colleagues active in Data Management, TouchPoint Channels & Integration, Core Banking, and Global Products.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged. Work ethics, honesty and knowledge sharing are key to our teams and we're always looking for like-minded people.
Mission
Keeping ING safe, secure and compliant is a top priority of the ING Think Forward Global Strategy. It's part of who we are: integrity is at the heart of our Orange Code – the ING values and behaviours. Know your customer (KYC) is the first step towards a safe and compliant bank. It ensures we only do business with people and companies we have verified as being trustworthy. This includes carrying out customer due diligence checks, updating customer files, screening customers and transactions, monitoring transactions and reporting suspicious activities.
The Global Know Your Customer organisation is a first line department providing the ING business and functions guidance with standardised solutions in the area of various KYC related regulations (on process, control, and digital solutions, etc.) as well as support to realize operational excellence.
You will be part of a multi-disciplinary cross border team (Business Analysts / Subject Matter Experts, DevOps engineers, Data Governance officers and Data Quality specialists). The objective is to enable the flow of data from the providers to end users (on a Data Lake architecture).
Your day to day:
