Job Location – Amsterdam, NetherlandsExperience (Years): 5+ yearsPay Rate – TBNStart Date - ASAPContract – 6 months to 1year (can be renewable)Role DescriptionPractical hands-on experience with solutioning and implementation of data (governance) models in coordination with Management, IT and Business stakeholders.Project experience with data migrations and integration projects in complex multi-domain environments, including cloud migrations and hybrid architectures.Solid knowledge of relevant tools and methods for data management (data analysis, data management, data architecture).Experience with Business Intelligence tools (Power BI, Tableau).Knowledge of data lake house technologies (Snowflake, Databricks).Basic knowledge of Machine Learning pipelines.Experience with the public sector.Essential SkillsInventory and DocumentationMapping of all existing systems and databases (Oracle and related platforms)Documentation of data flows, relations, and dependencies between systemsSet-up and maintenance of a source catalogue and metadata repositoryReverse Engineering Data ModellingAnalysis of existing Oracle schemes and Entity Relationship Diagrams (ERDs)Identification of tables, views, primary key foreign key (PKFK) relations, triggers, and packagesDesign of conceptual, logical, and physical data modelsDocumentation of reference and master dataData Profiling Quality ManagementExecute data profiling on source systemsSet up data quality reports (completeness, consistency, duplicates)Advise on clean-up, normalization, and performance-optimizationGovernance, Privacy ComplianceDesign of data governance models and processesClassification of data in line with laws and regulations like AVG, GDPR and BIODesign of retention periods and guidelines for anonymizing non-productive environmentsAdvise on encryption, key management, and role-based access controlMigration IntegrationDesign of a logical data model and mapping of source attributes to target entitiesDesign of migration (phased, dry-runs, validation) and integration strategies (e.g. of API driven data platforms)Collaborate with other Data Engineers for ETL (extract, transform and load) / ELT (Extract, load and transform) design and implementationSafeguarding of data quality, compliance, and performance during migrationArchitecture InnovationAdvise on data architecture principles (Data Vault, Dimensional Modelling, Data Mesh)Integration with Application Programming Interfaces (APIs) and streaming data (Kafka, Oracle GoldenGate)Support cloud migrations (Azure, AWS, GCP) and data lake house architectures