Data Analyst & Modeller - Esperanto @ ING Hubs Romania
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
- 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,
- 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, Touch
Point 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
- minded people.
Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:
- At ING, software and soft skills are equally important | 78% of our IT colleagues agree
The Mission
We are looking for an Data Modeler with passion for Data, knowledge and experience in data modelling for a data warehouse / data mart.
You will be part of a
- disciplinary cross border team (Business Analysts / Subject Matter Experts, Dev
Ops 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:
- Execute the Global Data Definition process according to agreed principles and quality criteria, in an Agile way of working (Spotify model);
- Support the Business Analysts in creating conceptual models;
- Deliver and maintain Global (ING Esperanto) Business Terms, Conceptual / Logical and Physical Data Models and additional documentation needed for shipping the product towards the Data Lakes;
- Create and test functional and technical mappings from source to target and support the usage of data models in ING units;
- Support, coach and train colleagues on adopting and implementing our models;
- Report on the progress and communicate the dependencies and impediments to stakeholders;
- Contribute to existing principles, standards, guidelines and way of working to continuously improve them.
What you bring to the team:
Experience and Knowledge
- Bachelor’s degree in Computer Science or related field;
- Understanding of Data Management and/or IT architecture areas;
- 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, Info
Sphere Data Architect); - Data Warehousing / Data Modelling / Database Design;
- Knowledge of SQL and database concepts;
- Excellent written and verbal communication English skills.
Nice to have
- Knowledge with the IBM’s BDW models;
- Knowledge of and experience acting within business area of financial institutions and within data management organizations;
- Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution
- up & guidance); - Knowledge of and a vision on data management and affinity with IT.
Competences
- Results Orientation as evidenced by a track record of delivering solutions which routinely exceed the business process expectations;
- Persistence and assertive: you deal with conflicts of interest and obtain a good and acceptable end solution and are not afraid to challenge;
- Collaboration and Influencing: able to demonstrate the ability to build meaningful relationships in a large and complex enterprise across functions, levels and geographic borders. Be able to communicate complex ideas and solutions, at all levels of the organization and be open to ideas from others;
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