Technical Business Analyst - Data Management
Primary stack
Nice to have's
Job description
About the Position
Technical Business Analyst - Data Management @ING Hubs Romania
Requisition Number: REQ-10118436
Date: 20/07/2026
Department: Data Management
Location: Bucharest, Romania
About the Company
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:
- At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree
The Mission
In your role you will support the organization in achieving a well governed data lake that ensures data availability, common understanding of business terms, impeccable data quality, traceable and controlled data in line with regulations. In other words, an ambitious implementation based on leading technology.
Responsibilities
- Closely collaborate with stakeholders to:
- Contribute to understanding and clarifying the requirements
- Draw up conceptual and logical data models
- Create detailed specifications for DevOps engineers
- Create testing scenarios and participate in functional testing
- Safeguard the consistency and quality of data by creating requirements on data quality, data lineage, data privacy, data security, and other relevant aspects of data
- Align with the architects on the data lake design and ensure the implementation of the new solution is done according to the data lake target architecture
- Continuously take initiative to improve the way of working and the collaboration within your team and stakeholders
- Actively participate in gathering the requirements for automation of our software processes
- Use and integrate available AI tools into day-to-day activity
Requirements
- 3-5 years of experience on a similar role
- Hands-on experience working with SQL and databases and/or data warehouses
- Take it on and make it happen attitude, drive to help others succeed and a knack for always being a step ahead
- Strong conceptual and analytical skills, detail-oriented
- Excellent communication skills, both verbally and in writing
- Experience in requirements gathering and writing technical and functional specifications
- Experience with Agile methodologies
- Advanced proficiency in English
- Education: nice to have Bachelor’s Degree (or higher) in an IT related field
Nice to Have
- Experience with banking industry or financial institutions
- Knowledge of and experience within the Credit Risk and Credit Risk modelling areas in the financial industry
- Knowledge of and experience in data management, data modelling (dimensional) and data warehouse technology
- Finance, Credit Risk, Regulatory processes and Operational Risk know-how
- Hands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices
- AI experimentation
We Offer
- Competitive salary
- Flexible working arrangements
- Professional development opportunities
- Collaborative and inclusive work environment
*If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).
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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.
© ING Hubs Poland. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Financial Services,Banking,Risk Management,Data Analysis,IT Engineering
About the Company ING Hubs Poland is one of ING's global competence centres. It designs and delivers technological, operational, and risk solutions to simplify banking. The best experts work on these projects. Products, Services & Tech Stack Core Solutions: Technological, operational, and risk solutions for banking. Technologies & Frameworks: Not specified in the provided text. Project Scope & Target Clients Client Base: Not specified in the provided text. Engineering Scale: Not specified in the provided text.
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