02/03/2026 updated
100 % available
Senior Data Engineer - ETL & Cloud Data Platform Specialist
Amsterdam, Netherlands
Germany +2
PhD, Computer Scienceinfo: Germany, Belgium, Netherlands
Amazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisArchitectureAutomationMicrosoft AzureBusiness IntelligenceCloud ComputingComputer ProgrammingDatabasesContinuous IntegrationInformation EngineeringData GovernanceData Integration
ETL Development & Data Integration
Expertise in designing and implementing ETL pipelines using Informatica PowerCenter, IDMC, Databricks, and AWS Glue for complex data transformation and migration projects
Cloud Platform Management
Proficiency in managing AWS environments including EC2 instances, S3 buckets, and cloud-based data processing with focus on security, stability and operational excellence
Database & Data Warehouse Technologies
Advanced knowledge in SQL Server, Oracle, Snowflake, and S3 for data warehousing, modeling and optimization with PowerDesigner for data governance
Programming Languages
Python, SQL, and DAX programming for data analysis, automation and business intelligence solutions
DevOps & CI/CD
Azure DevOps and IDEM implementation for continuous integration and deployment in data engineering workflows
Data Lake Architecture
Azure Data Factory and Data Lake development for scalable data storage and processing solutions
Version Control & Collaboration
Git and GitHub proficiency for code management and team collaboration in data engineering projects
Compliance & Data Governance
GDPR and CRR compliance implementation with focus on data security and regulatory requirements
Certification Portfolio
Multiple Azure certifications including AZ900, DP201, AZ400-900, DP201, AZ-400 demonstrating cloud expertise
Expertise in designing and implementing ETL pipelines using Informatica PowerCenter, IDMC, Databricks, and AWS Glue for complex data transformation and migration projects
Cloud Platform Management
Proficiency in managing AWS environments including EC2 instances, S3 buckets, and cloud-based data processing with focus on security, stability and operational excellence
Database & Data Warehouse Technologies
Advanced knowledge in SQL Server, Oracle, Snowflake, and S3 for data warehousing, modeling and optimization with PowerDesigner for data governance
Programming Languages
Python, SQL, and DAX programming for data analysis, automation and business intelligence solutions
DevOps & CI/CD
Azure DevOps and IDEM implementation for continuous integration and deployment in data engineering workflows
Data Lake Architecture
Azure Data Factory and Data Lake development for scalable data storage and processing solutions
Version Control & Collaboration
Git and GitHub proficiency for code management and team collaboration in data engineering projects
Compliance & Data Governance
GDPR and CRR compliance implementation with focus on data security and regulatory requirements
Certification Portfolio
Multiple Azure certifications including AZ900, DP201, AZ400-900, DP201, AZ-400 demonstrating cloud expertise
Languages
EnglishNative speaker
Project history
Migration from PowerCenter to IDMC including validation, testing, and implementation using IDEM. Cloud and platform management within AWS environment with EC2 instances and S3 buckets configuration. Maintenance Manager role ensuring high availability and operational continuity of data platforms.
Migration from Informatica PowerCenter to IICS (IDMC) for batch processing. IDMC platform management and monitoring of taskflows. Development and maintenance of Databricks pipelines for API triggered processes with PySpark notebooks implementation.
On-premise ETL development and data warehouse modeling using Informatica PowerCenter, Azure Data Factory, and PowerDesigner. Data Lake development and source integration with focus on scalable and secure solutions.