Data Engineer (m/w/d) with focus on data migration

Everience; Brussel; Sur place; EUR 42 000 - 65 000; Plein temps

Résumé du poste

Everience is seeking a Data Migration Analyst to lead data analysis, design robust migration plans, and develop mapping rules for the upcoming system migration. You will work with the migration architects and engineers to ensure data quality, integrity, and seamless integration with the new platform.

The role requires strong SQL and data modeling skills, a practical approach, and collaboration with cross-functional teams to resolve data issues and optimize the migration workflow.

Qualifications

• 2–6 years of experience with data analysis, data design, data conversions and/or ETL tooling.
• Experience with quality control processes, migration approaches and relevant migration solutions.
• Strong affinity with data, data structures and data mapping.
• Knowledge of data modeling and relational algebra.
• Experience with SQL and database management.

Responsabilités

• Data analysis and source research before migration, identifying data quality issues.
• Collaborate with migration architect/engineers to design robust migration plan.
• Create conversion/mapping rules to meet new system requirements.
• Develop quality checks to ensure migrated data is accurate and usable.
• Monitor data integrity to prevent loss or corruption during migration.
• Apply SQL and database skills to retrieve, analyze, and manipulate data.
• Translate functional processes into data architecture implications for the new system.
• Identify data-related bottlenecks and propose solutions with the migration team.
• Serve as a link between business analysts and data migration engineers.

Connaissances

Data analysis

Migration design

Data modeling

ETL tooling

SQL

Data mapping

Data integrity

Problem solving

Communication

Collaboration

Outils

ETL tools

Data modeling tools

SQL

Description du poste

Core Responsibilities:

• Data analysis and source research: Before the migration takes place, the analyst conducts thorough analyses of the existing databases and systems. This includes understanding the data structures, identifying functional objects and attributes, and recognizing data quality issues such as data inconsistencies, duplicates, and missing data.
• Migration design : She/he works with the migration architect and migration engineers to develop a robust migration design that aligns with the chosen migration approach. In doing so, he/she takes into account the technical requirements of the project, such as data transformation and mapping between source and target systems.
• Data transformation and mapping: Responsible for designing and creating conversion and mapping rules so that the data correctly and functionally meets the requirements of the target system. These rules ensure that data is both technically and functionally in line with the specifications of the new system.
• Validation and quality control : Develop and perform quality checks to ensure that the migrated data is accurate, complete, and usable.
• Ensuring data integrity: Ensure accurate, complete and efficient data migration without data loss or corruption. This means that the analyst closely monitors the consistency and integrity of the data throughout the process.
• SQL and database skills: Extensive experience with both relational and non-relational databases and data modeling. SQL knowledge is essential to retrieve, analyze and manipulate data.
• Functional thinking and data architecture: Able to understand functional processes and translate their implications on the data architecture. This ensures that the migration fits seamlessly with the functional requirements of the new system.
• Problem-solving skills and critical thinking: Thanks to a deep understanding of the functional implications of data issues, she/he can identify functional bottlenecks in the data migration and work out appropriate solutions in consultation with the migration engineer and the migration architect.
• Communication and collaboration: The analyst acts as an important link between business analysts and data migration engineers.

• 2-6 years of experience with data analysis, data design, data conversions and/or ETL tooling.
• Proven experience with quality control processes, migration approaches and relevant migration solutions.
• Strong affinity with data, data structures and data mapping.
• Knowledge of data modeling and relational algebra.
• Experience with SQL and database management.
• Precise, analytical thinking skills and a practical attitude.

All our positions are open to both women and men and are, of course, open to people with disabilities.