Data Migration Consultant to Scan Global Logistics

Epico Tech; Hvidovre Kommune; Sur place; DKK 520 000 - 760 000; Plein temps

Avantages offerts par ce poste

International work environment

Résumé du poste

Scan Global Logistics is seeking a Data Migration Consultant to join its migration team and support an international transformation program in Denmark. You will work hands-on with data, analyze datasets, validate migrated data, and resolve issues to ensure readiness for testing and go-live.

The role emphasizes strong Excel skills, data quality focus, and collaboration across countries. English proficiency is required; Danish is not necessary.

Qualifications

• Practical experience with data migration between systems or applications.
• Strong Excel skills and handling large datasets.
• Structured and detail-oriented approach to analysing data.
• Experience identifying data errors and ensuring data quality.
• Analytical mindset to investigate and resolve discrepancies.
• Good communication and collaboration with stakeholders.

Responsabilités

• Support data migration between applications and new systems.
• Analyse and validate data using Excel to ensure accuracy.
• Identify errors, duplicates, missing information, and data inconsistencies.
• Perform data cleansing, reconciliation, and quality checks.
• Collaborate with colleagues across different countries.

Connaissances

Data migration experience

Excel skills

Data quality

Analytical mindset

Communication

Outils

SQL

Microsoft Dynamics 365

SAP

Oracle

Description du poste

Join an International Transformation Program at Scan Global Logistics

Are you detail-oriented, analytical, and passionate about working with data? Do you enjoy identifying errors, improving data quality, and ensuring that information is accurate and ready for use?

Scan Global Logistics is looking for a Data Migration Consultant to join its migration team and support an international transformation program. You will play an important role in migrating data between existing applications, ensuring high data quality and supporting successful system implementations across multiple countries.

You do not need to be an expert in a specific ERP platform. What matters most is your practical experience with data migration, your Excel skills, and your ability to spot inconsistencies and solve data-related problems.

Your role

You will become part of a close-knit team that works together to ensure successful data migrations and regular go-lives. The team values collaboration, knowledge sharing, and helping each other succeed.

Your main responsibility will be to work hands-on with data, from analysing existing datasets to validating migrated data and identifying issues that need to be resolved.

Key Responsibilities

• Support data migration between existing applications and new systems.


• Analyse and validate data using Excel to ensure accuracy and completeness.


• Identify errors, duplicates, missing information, and data inconsistencies.


• Perform data cleansing, reconciliation, and quality checks.


• Investigate discrepancies and coordinate their resolution with relevant stakeholders.


• Ensure data is ready for testing, migration, and go-live.


• Collaborate with colleagues and stakeholders across different countries.


• Contribute to improving data migration processes and working methods.

What We Are Looking For

• Practical experience with data migration between systems or applications.


• Strong Excel skills and confidence working with large datasets.


• A structured and detail-oriented approach to analysing data.


• Experience identifying data errors and ensuring data quality.


• An analytical mindset and the ability to investigate and resolve discrepancies.


• Good communication skills and the ability to collaborate with different stakeholders.


• A proactive attitude and the ability to take ownership of your tasks.


• A willingness to share knowledge, ask questions, and learn from colleagues.

Experience with ERP systems, such as Microsoft Dynamics 365, SAP, or Oracle, is an advantage but not a requirement. Experience with SQL, data analysis tools, testing, or go-live activities is also beneficial.

What You Can Expect

• An opportunity to contribute to a large international transformation program.


• A supportive team where colleagues share knowledge and help each other.


• A varied role with regular go-lives and practical data challenges.


• Collaboration with colleagues and stakeholders across multiple countries.


• The opportunity to contribute to smarter and more automated ways of working, including the use of AI.


• Opportunities for professional development and relevant training.

About You

You are curious, methodical, and comfortable working with details. You enjoy getting to the bottom of data issues and take pride in delivering accurate, high-quality work.

You are comfortable working independently while recognising the value of teamwork and sparring with experienced colleagues. You communicate clearly, follow up on outstanding issues, and remain focused on delivering results.

Location and language

The position is based in Hvidovre, Denmark, with collaboration across an international organisation. No regular travel is expected.

You must be comfortable communicating in English. Danish is not a requirement.

Contact

The recruitment process is handled by EPICO Group. If you have any questions about the position, please contact: Mia Mûller, Senior Delivery Manager, Email: [e-mail], Phone: [phone].

Why Scan Global Logistics?

At Scan Global Logistics, you will join a global growth company with an entrepreneurial spirit and a fast-paced environment. You will play a central role in a strategic transformation with high visibility and the opportunity to make a real impact.

Scan Global Logistics is a leading Danish logistics and transportation company headquartered in Hvidovre, Denmark. We provide global solutions within sea, air and road freight as well as supply chain management, helping businesses move their goods safely and efficiently around the world.

Deadline: 30 november 2026 kl. 11:00