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

Our mission at Everience is to unleash the potential of digital technology to enable companies to focus on their value chain and increase their productivity and competitiveness.

We provide a tailor-made response to the needs of our customers to help them build an efficient working environment, adapted to the needs of users by deploying a wide range of expertise: consulting, desktop engineering, user support, knowledge management, business support, cybersecurity, cloud and infrastructure management, smart office, IT logistics

Everience operates in the Benelux and internationally and has 16 sites in Europe.

The quality of our services and the excellence of the technical expertise of our employees is our priority Everience is recruiting...

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 people with disabilities