Data Migration Coordinator (Hybrid)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
DATA MIGRATION COORDINATOR (HYBRID)
Portuguese company hires for hybrid position
Location:Porto Portugal
Work Model: Hybrid 3 days per week on-site
Only candidates already based in Portugal will be considered.
Language Requirements: English Fluent (mandatory)
Seniority: Mid-level (5 years of experience)
Hiring Model:B2B
Sector: Automotive Tech
Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
We are looking for an experienced Data Migration Coordinator to oversee data migration activities across site readiness and ERP rollout projects. The Data Migration Coordinator is responsible for overseeing data migration activities including data preparation cleansing and loading across all active site readiness and rollout projects. This role supports project teams in understanding data structure requirements provides feedback on completed tasks and ensures the Data Migration Factory Lead has an accurate and up-to-date status overview at all times. The coordinator is also accountable for developing mitigation plans for issues and escalating risks when local mitigations are insufficient to meet agreed milestones including proposing solutions for the next escalation level.
Responsibilities
- Act as the central point of contact for active site readiness projects and rollouts.
- Support the Data Migration Factory Manager in planning prioritization and resource allocation.
- Assist project-assigned migrators with alignment issue resolution and escalation management.
- Facilitate collaboration between PLM (Product Lifecycle Management) MDG (Master Data Governance) and DMF (Data Migration Factory) teams to ensure seamless integration.
- Ensure proper documentation knowledge transfer and adherence to governance standards across departments.
- Monitor rollout progress and provide status reporting on readiness risks mitigation plans (agreed or suggested) task owners and dependencies.
Years of Experience
- 5 years in project coordination or data migration roles within large-scale ERP programs.
- Experience in SAP S/4HANA migration projects or similar enterprise transformation initiatives preferred.
- Experience migrating from non-SAP and non-regulated source systems to SAP S/4HANA (or other large ERP) preferred.
Functional Skills
- Strong understanding of data governance principles and ERP rollout processes.
- Ability to interpret migration requirements and coordinate across functional and technical teams.
- Experience in issue tracking prioritization and dependency management.
Technical Skills
- Familiarity with data migration requirements when transitioning systems to SAP S/4HANA including MDG and PLM systems (Windchill is a plus).
- Understanding of data migration processes tools and frameworks.
- Proficiency in MS Excel MS Project and reporting tools for tracking and documentation.
- Fundamental knowledge of ETL concepts and data validation techniques.
- Experience with Agile or hybrid project management approaches.
- Knowledge of data migration best practices including mock runs and cutover planning.
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong organizational and multitasking abilities to manage multiple rollouts simultaneously.
- Problem-solving mindset with the ability to resolve conflicts and facilitate collaboration.
- High attention to detail and ability to perform under pressure in fast-paced environments.
Languages
- Fluency in English (mandatory)
Desired Certifications
- Certifications in Data Migration preferably related to SAP S/4HANA.
Mandatory Technologies (must appear in the CV last 5 years)
SAP S/4HANA MDG (Master Data Governance) PLM systems (e.g. Windchill) data migration tools and frameworks ETL concepts MS Excel MS Project Agile or hybrid project management tools.
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Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
