Meta Data & Data Modelling Analyst - Esperanto @ ING Hubs RO

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.

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

Mission

We are looking for an enthusiastic Data Modeler with passion for Data, knowledge and experience in data modelling for a data warehouse / data mart / data products.

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:

• Execute the Data Definition process according to agreed principles and quality criteria, in an Agile way of working (Spotify model);
• Support the Business Analysts in the analysis phase and creating conceptual data 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 maintain Global Reference Data / classifications;
• Support the creation of Data Products, making them available in the Marketplace and inventoried in a Data Catalog;
• 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:

• 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, InfoSphere Data Architect, Erwin, Idera/ER Studio);
• Data Warehousing / Data Mart / Dara Modelling / Database Design;
• Knowledge of SQL and database concepts;
• Excellent written and verbal communication English skills;
• Results oriented person, persistence and assertiveness, collaboration and influencing skills
• Open to travel to ING locations (mainly Europe and occasionally outside Europe).

Nice to have

• Knowledge with the IBM’s BDW models, IBM Cloud Pak for Data, Watson Knowledge Catalog;
• 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 follow-up & guidance);
• Knowledge of and a vision on data management and affinity with IT.

What’s in it for you

• Annual Performance Bonus up to two salaries
• Extra vacation days depending on the total length of working experience
• Flextime – our own way of working
• Monthly budget on Benefit platform
• Growth opportunities
  • Defining a clear career path on short/ mid/ long term and identify the competencies you need to build/ develop to reach the next level: vertically – towards a managerial position or horizontally – towards an expert or architect level, locally or globally
  • Internal mobility is encouraged
  • Possibility to access International Short-Term Assignments or Long-Term Assignments
  • Upskilling/ reskilling programs
• Learning & Development opportunities
  • Annual training & certifications budget
  • Pluralsight & e-learning platforms
  • Coaching and Mentoring programs
• CSR activities: tree planting, coding lessons for teenagers etc.