Senior Data Engineer / Data Modeler -10877234

ITProposal; Amsterdam; On-site; EUR 90,000 - 130,000; Part time

Job summary

ITProposal is seeking a Senior Data Engineer / Data Modeler to lead data architecture, migration, and governance initiatives in Amsterdam. The role emphasizes Oracle databases, data modeling, reverse engineering, data quality, and cloud migration projects.

The candidate will collaborate with business and IT stakeholders to design scalable, secure data solutions, implement governance models, and ensure GDPR compliance across migration activities.

Qualifications

• 8–10 years of experience in data engineering, database administration, or data architecture.
• Strong expertise in Oracle DBMS, including SQL, PL/SQL, and Oracle Data Dictionary.
• Hands-on experience with conceptual, logical, and physical data modeling.
• Experience using Oracle SQL Developer Data Modeler or similar reverse engineering tools.
• Strong knowledge of ETL/ELT design and data migration strategies.
• Proven experience implementing data governance frameworks with business and IT stakeholders.
• Experience delivering data migration and integration projects within complex enterprise environments.
• Solid understanding of data management, data architecture, and data analysis methodologies.
• Knowledge of cloud migration projects involving Azure, AWS, or GCP.
• Experience with API integration, Kafka, Oracle GoldenGate, or similar technologies is an advantage.
• Familiarity with Data Vault, Dimensional Modeling, and Data Mesh concepts.

Responsibilities

• Inventory and document existing Oracle databases, systems, and data assets.
• Map data flows, dependencies, and relationships across applications.
• Build and maintain metadata repositories and source data catalogues.
• Perform reverse engineering of Oracle schemas, databases, and ERDs.
• Identify and document tables, views, primary/foreign key relationships, triggers, and packages.
• Design conceptual, logical, and physical data models.
• Document master data and reference data structures.
• Conduct data profiling and assess data quality, including completeness, consistency, and duplicate analysis.
• Recommend data cleansing, normalization, and database performance improvements.
• Design and implement data governance models and best practices.
• Ensure compliance with GDPR and other relevant data privacy regulations.
• Define data retention policies, anonymization strategies, encryption, and role-based access controls.
• Design migration strategies, including phased migrations, validation, and integration approaches.
• Collaborate with Data Engineers on ETL/ELT solution design and implementation.
• Ensure data quality, compliance, and performance throughout migration activities.
• Advise on modern data architecture approaches, including Data Vault, Dimensional Modeling, and Data Mesh.
• Support API-based integrations, streaming technologies, and cloud migration initiatives.
• Contribute to data lakehouse and hybrid cloud architecture projects.

Skills

Oracle DBMS

SQL

PL/SQL

Data Modeling

Data Governance

Data Quality

Cloud Migration

ETL/ELT

Data Vault

Dimensional Modeling

Data Mesh

Kafka

Tools

Oracle SQL Developer Data Modeler

Oracle GoldenGate

Job description

Senior Data Engineer / Data Modeler (Oracle)

Location: Amsterdam, Netherlands
Duration: 6 Months
Start Date: 31 July 2026
Experience: 8–10 Years
Employment Type: Contract

Job Overview

We are seeking an experienced Senior Data Engineer / Data Modeler to support data architecture, migration, and governance initiatives. The ideal candidate will have extensive expertise in Oracle databases, data modeling, reverse engineering, data quality management, and cloud migration projects. You will work closely with business and IT stakeholders to design scalable, secure, and high-quality data solutions.

Key Responsibilities

• Inventory and document existing Oracle databases, systems, and data assets.
• Map data flows, dependencies, and relationships across applications.
• Build and maintain metadata repositories and source data catalogues.
• Perform reverse engineering of Oracle schemas, databases, and ERDs.
• Identify and document tables, views, primary/foreign key relationships, triggers, and packages.
• Design conceptual, logical, and physical data models.
• Document master data and reference data structures.
• Conduct data profiling and assess data quality, including completeness, consistency, and duplicate analysis.
• Recommend data cleansing, normalization, and database performance improvements.
• Design and implement data governance models and best practices.
• Ensure compliance with GDPR and other relevant data privacy regulations.
• Define data retention policies, anonymization strategies, encryption, and role-based access controls.
• Design migration strategies, including phased migrations, validation, and integration approaches.
• Collaborate with Data Engineers on ETL/ELT solution design and implementation.
• Ensure data quality, compliance, and performance throughout migration activities.
• Advise on modern data architecture approaches, including Data Vault, Dimensional Modeling, and Data Mesh.
• Support API-based integrations, streaming technologies, and cloud migration initiatives.
• Contribute to data lakehouse and hybrid cloud architecture projects.

Required Skills & Experience

• 8–10 years of experience in data engineering, database administration, or data architecture.
• Strong expertise in Oracle DBMS, including SQL, PL/SQL, and Oracle Data Dictionary.
• Hands‑on experience with conceptual, logical, and physical data modeling.
• Experience using Oracle SQL Developer Data Modeler or similar reverse engineering tools.
• Strong knowledge of ETL/ELT design and data migration strategies.
• Proven experience implementing data governance frameworks with business and IT stakeholders.
• Experience delivering data migration and integration projects within complex enterprise environments.
• Solid understanding of data management, data architecture, and data analysis methodologies.
• Knowledge of cloud migration projects involving Azure, AWS, or GCP.
• Experience with API integration, Kafka, Oracle GoldenGate, or similar technologies is an advantage.
• Familiarity with Data Vault, Dimensional Modeling, and Data Mesh concepts.

Preferred Qualifications

• Experience working in hybrid cloud and enterprise data environments.
• Strong analytical and problem‑solving skills.
• Excellent stakeholder communication and documentation skills.
• Ability to work independently and collaboratively within cross‑functional teams.

Language Requirement

• Dutch: Required