Location: Amsterdam Netherlands Start Date: July 2026 Experience Required: 68 Years
Role Overview
We are seeking an experienced Senior Data Engineer to design document optimize and modernize complex data landscapes. The successful candidate will play a key role in data modeling reverse engineering migration initiatives governance and cloud transformation projects. This position requires close collaboration with business IT and management stakeholders to deliver scalable and compliant data solutions.
Key Responsibilities
Perform inventory analysis and documentation of existing data environments.
Execute reverse engineering of Oracle database schemas and data structures.
Design and maintain logical and physical data models.
Conduct data profiling and improve data quality management processes.
Ensure compliance with data governance privacy and regulatory requirements.
Develop migration strategies for centralized and cloud-based data platforms.
Support integration projects across complex multi-domain environments.
Advise stakeholders on data architecture transformation and implementation best practices.
Drive innovation in data management and modern data platform solutions.
Required Skills & Experience
68 years of experience in Data Engineering Data Architecture or Data Management.
Strong expertise in Data Modeling and Data Concepts.
Hands-on experience with PL/SQL and Oracle databases.
Experience with data governance frameworks and data quality management.
Proven track record in data migration and integration projects.
Experience working with cloud and hybrid data architectures.
Knowledge of Business Intelligence tools such as Power BI and Tableau.
Familiarity with modern data platform technologies including Snowflake and Databricks.
Basic understanding of Machine Learning pipelines.
Experience working within public sector environments.
Ability to collaborate effectively with business management and technical stakeholders.
Language Requirement
Dutch language proficiency required.
Location: Amsterdam NetherlandsStart Date: July 2026Experience Required: 68 Years Role Overview We are seeking an experienced Senior Data Engineer to design document optimize and modernize complex data landscapes. The successful candidate will play a key role in data modeling reverse engineering mig...
Location: Amsterdam Netherlands Start Date: July 2026 Experience Required: 68 Years
Role Overview
We are seeking an experienced Senior Data Engineer to design document optimize and modernize complex data landscapes. The successful candidate will play a key role in data modeling reverse engineering migration initiatives governance and cloud transformation projects. This position requires close collaboration with business IT and management stakeholders to deliver scalable and compliant data solutions.
Key Responsibilities
Perform inventory analysis and documentation of existing data environments.
Execute reverse engineering of Oracle database schemas and data structures.
Design and maintain logical and physical data models.
Conduct data profiling and improve data quality management processes.
Ensure compliance with data governance privacy and regulatory requirements.
Develop migration strategies for centralized and cloud-based data platforms.
Support integration projects across complex multi-domain environments.
Advise stakeholders on data architecture transformation and implementation best practices.
Drive innovation in data management and modern data platform solutions.
Required Skills & Experience
68 years of experience in Data Engineering Data Architecture or Data Management.
Strong expertise in Data Modeling and Data Concepts.
Hands-on experience with PL/SQL and Oracle databases.
Experience with data governance frameworks and data quality management.
Proven track record in data migration and integration projects.
Experience working with cloud and hybrid data architectures.
Knowledge of Business Intelligence tools such as Power BI and Tableau.
Familiarity with modern data platform technologies including Snowflake and Databricks.
Basic understanding of Machine Learning pipelines.
Experience working within public sector environments.
Ability to collaborate effectively with business management and technical stakeholders.