Migration Data Quality Consultant (JP057011)

TiTANS België; Brussel Hoofdstad; Ibrido; EUR 60.000 - 95.000; Tempo pieno

Descrizione del lavoro

TiTANS België is seeking an experienced Migration Data Quality Consultant to plan, execute, and govern data migration activities across SAP ECC to S/4HANA landscapes. The role emphasizes data cleansing, validation, and building robust data quality controls for accurate SAP implementations.

The candidate will design migration strategies, implement data quality rules, and collaborate with business data owners to ensure high data standards and governance throughout complex SAP environments.

Competenze

• 3+ years of data migration experience and data quality management.
• Strong ABAP/ABAP OO for data manipulation.
• Experience with SAP master and transactional data, FS-PM or FS-CM modules.
• Experience with ETL/migration tools and high-volume data loading.
• Excellent communication and ability to work under tight timelines.

Mansioni

• Analyze legacy data and define data scope, objects, and transformation rules.
• Perform data extraction, cleansing, enrichment, validation, and reconciliation.
• Define and implement data quality rules, metrics, and controls.
• Develop ABAP programs for migration and validation.
• Create data transformation logic and mapping documents.
• Build logging and error-handling for migration programs.
• Prepare and maintain data quality dashboards and reports.

Conoscenze

Data migration

Data quality management

ABAP/ABAP OO

ETL tools

Data mapping

Data reconciliation

SAP FS-PM/FS-CM

Mass data processing

Strumenti

msg.AIM

LSMW

Data Services

ABAP development

Descrizione del lavoro

Migration Data Quality Consultant (JP057011)

We are seeking an experienced Migration & Data Quality Consultant / Developer to plan, execute, and govern data migration activities while ensuring high data quality across SAP landscapes. The role involves designing migration strategies, cleansing and validating legacy data, and building robust data quality controls to support SAP ECC to S/4HANA migrations and new SAP implementations.

Key Responsibilities

Data Migration Quality Responsibilities

• Analyze legacy data and define data scope, objects, and transformation rules.
• Perform data extraction, cleansing, enrichment, validation, and reconciliation in a SAP Insurance environment
• Perform data reconciliation between legacy and target SAP Insurance systems.
• Define and implement data quality rules, metrics, and controls.
• Identify and resolve data inconsistencies, duplicates, and master data issues.
• Support data governance frameworks and master data ownership models.
• Collaborate with business data owners to improve data standards and processes.
• Prepare and maintain data quality dashboards and reports

Technical / Development Responsibilities

• Develop ABAP programs for data migration, validation, and reconciliation.
• Create data transformation logic and mapping documents.
• Build error-handling and logging mechanisms for migration programs.

Required Qualifications & Experience

• Strong experience in Data migration and data quality management.
• Solid knowledge of SAP master and transactional data objects:
• Solid experience in one of the core insurance modules FS-PM or FS-CM
• Experience in data reconciliation and audit support
• Strong proficiency in ABAP/ABAP OO for data manipulation and mass processing.
• Experience with ETL/migration tools (e.g. msg.AIM, LSMW, Data Services) and techniques for high-volume data loading
• Expertise in data mapping, transformation logic, and reconciliation reporting. Meticulous attention to detail regarding data quality and consistency checks.
• Strong ABAP development skills for migration and data validation.
• Professional Experience:
• 3+ years of Data migration experience, 3+ years in data migration and quality
• 3+ years in SAP Core insurance module like SAP FS-PM or FS-CM
• Experience working in large-scale or complex SAP landscapes
• Strong analytical and problem-solving skills
• Excellent communication (written and verbal) and presentation skills. Strong analytical and problem-solving abilities. Ability to work independently and collaboratively in a team environment.
• High attention to detail and data accuracy
• Ability to work under tight timelines and cutover pressure