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HRIS Data Migration Specialist; Brussel

Job in Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listing for: ENTICO ICT
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: HRIS Data Migration Specialist (Brussel) 13-05-2026
Location: Town of Belgium

We are seeking a skilled HRIS Data Migration Specialist to lead the end-to-end migration of HR data from SAP R/3 HCM (PA/OM/Time/PY) to SAP Success Factors Employee Central and S/4

HANA Time. This role is critical to ensuring data integrity, compliance, and operational continuity during the HRIS transformation roadmap from Success.

Key Responsibilities
  • Define and document the data migration strategy & plan aligned with the SF EC and S/4

    HANA HCM rollout.
  • Establish data selection principles (what moves vs. what is archived/destroyed), aligned with legal, regulatory, works council, information security, and GDPR requirements.
  • Develop the data object inventory and field-level mapping specifications.
  • Define archiving and defensible data destruction approaches for out-of-scope or redundant data, with audit trails and approvals.
  • Set up governance: RACI, decision rights, issue/risk management, status reporting, and issue escalation.
  • Collaborate with HR & IT and business stakeholders to define scope, timelines, and deliverables.
Data Discovery & Mapping
  • Inventory source systems (SAP ECC HCM and non-SAP), objects, infotypes, tables, and custom fields; determine target structures in Success Factors (Employee Central, Recruiting, Onboarding) and S/4

    HANA (Finance-related HR data, HCM compatibility or integrations as applicable).
  • Lead the data mapping and transformation logic definition, including value mapping, code translations, derived fields, joins, historical vs. current snapshots, and effective dating.
  • Produce mapping specifications and governed transformation rules with version control for all in-scope data sets.
Data Extraction, Transformation & Loading (ETL)
  • Use data conversion tools, such as Spinifex, Data Conversion Manager or other, to set up data mapping, data comparison, and load the data from the source to target systems.
  • Build repeatable, parameterized ETL/ELT pipelines for extract, cleanse, transform, and load.
  • Extract legacy data from SAP R/3 HCM modules (PA, OM, Time, Payroll).
  • Cleanse, transform, and map data to Success Factors EC and S/4

    HANA HCM structures.
  • Use SAP Business Integration Builder, SAP Cloud Platform Integration, and data migration tools for replication and transformation.
  • Implement data quality rules, exception handling, logging, and reconciliation checks (e.g., counts/balances, hash totals, key field completeness).
Mock Loads & Data Quality Uplift
  • Plan and run multiple mock loads (ML1–ML3) across environments; track defects, root causes, and trend improvements.
  • Drive data cleansing at source (with HR data owners) and within transformation layers; establish golden source decisions and survivorship rules for consolidated records.
  • Produce data quality scorecards and measurable KPIs (completeness, validity, uniqueness, consistency, timeliness).
  • Manage cutover dry‑runs, timing simulations, and performance tuning for load windows.
Testing & Controls
  • Define and execute E2E testing for migration objects: unit tests, SIT, UAT support, and parallel run/payroll impact checks where relevant.
  • Support User Acceptance Testing and parallel runs to ensure data accuracy.
  • Implement reconciliation and sign‑off controls with business owners: pre/post-load controls, sampled record validation, and audit evidence.
  • Ensure privacy‑by‑design and security‑by‑design throughout (masking in non‑prod).
  • Build and execute the Cutover Plan for go‑live, including freeze windows, sequencing, runbook, roles, checkpoints, back‑out criteria, and communications.
  • Orchestrate go‑live weekend activities, triage, and rapid defect resolution with functional and technical teams.
  • Deliver hyper‑care reconciliation, issue remediation, and handover to operations/support with documentation and knowledge transfer.
Documentation & Governance
  • Maintain comprehensive documentation of mappings, transformation logic, and data.
  • Ensure compliance with GDPR and internal data governance policies.
Conformity Criteria
  • 7+ years in data migration (at least 3+ in HR data), delivering complex, multi‑system migrations at enterprise scale.
  • Proven experience in SAP HCM data migration projects, especially involving SF EC and S/4

    HANA.
  • Proven hands‑on expertise with data migration tools (Info porter, Spinifex, DCM), SAP BIB, CPI, IDoc, and OData services.
  • SAP Certification in Success Factors EC and/or SAP Integration Suite.
  • Experience in hybrid SAP HCM landscapes and phased rollouts.
  • Fluency in Dutch, French, and English (minimum B2 for all three).
Evaluation Criteria
  • Knowledge of HR master data, organizational structures, and payroll‑relevant data.
  • Knowledge of data mapping and transformation logic and techniques.
  • Knowledge of SAP ECC HCM (PA/OM, Time, Payroll, Benefits) and data structures (infotypes, clusters), plus exposure to custom Z‑tables.
  • Knowledge of Success Factors EC Data Model, Object Types and data structures.
  • Problem‑solving capabilities.
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