Technical Specialist

Job Summary

Role Overview:

The Data Management Expert (DME) at Competent level supports ING’s data transformation initiatives across Customer Data, KYC, AML, and Financial Crime domains by contributing to data engineering, governance, and integration activities.
The role focuses on hands-on execution, working closely with senior DMEs, architects, and business stakeholders to deliver high-quality, governed, and compliant data solutions aligned with ING standards. DME Profil...be enabled | Outlook

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Key Responsibilities:

• A.

Data Engineering & Integration:

• Develop and maintain ETL/data pipelines for ingesting and transforming data from multiple systems
• Support integration into Data Lake / PRP / MDM layers
• Work with structured and semi-structured datasets
• Perform data profiling, cleansing, and validation

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• B.

Data Governance & Quality:

• Implement data governance standards aligned to ING practices
• Support metadata management (e.g., business glossary, lineage)
• Define and execute data quality rules & monitoring checks
• Ensure data consistency, completeness, and traceability
  (Strong governance exposure is mandatory as per DME screening criteria) RE: ING -...nt profile | Outlook

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• C.

Data Modelling & Warehousing:

• Assist in creating conceptual, logical, and physical data models
• Work on dimensional modelling (star/snowflake)
• Support data dictionary and schema definition

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• D.

Banking & Regulatory Data Support:

• Work with KYC, CDD, AML, Transaction Monitoring datasets
• Support regulatory reporting and compliance requirements
• Ensure adherence to data retention and audit requirements

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• E. Stakeholder Collaboration
• Work with Business Analysts, Data Stewards, and Engineers
• Participate in sprint ceremonies, backlog refinement, and reviews
• Translate functional requirements into technical specifications

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1. Must-Have Skills (Non-Negotiable)
   Based on enterprise shortlisting criteria: RE: ING -...nt profile | Outlook

• Core Data Skills
• Data Management & Data Governance (hands-on)
• Advanced SQL (complex queries, analysis, profiling)
• Data Warehousing & Modelling
• Data Quality & Data Retention practices
• Tooling & Platform
• IBM Data Stage (ETL – mandatory for ING)
• Exposure to IBM Info Sphere Governance Catalog / Collibra
• Data profiling and source-to-target mapping
• Domain
• Strong Banking domain experience (mandatory)
• KYC / AML / CDD / Transaction Monitoring knowledge
• Delivery & Ways of Working
• Agile / Scrum execution
• Requirement analysis and stakeholder interaction

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Good-to-Have Skills:

• Data Lake (Azure / Hadoop) exposure
• Experience with ING / ABN AMRO / Rabobank / HSBC
• Python or scripting for data processing
• Exposure to financial crime / risk analytics

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery

2. To support as an SME

3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements

4. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and deliver risks are mitigated

5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology

6. To review project deliverables.

7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)

Skill Requirements

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Other Requirements

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