07/16/2026 updated


100 % available
Azure Data Engineer & Technical Lead - Databricks & PySpark Specialist
Almere, Netherlands
Only remote
Bachelor's degreeAbout me
Key Areas of Expertise: Designing and leading end-to-end data pipelines and analytics solutions on Azure and Databricks. Implementing scalable frameworks using PySpark for large-scale data processing.
Agile MethodologyAutomationMicrosoft AzureContinuous IntegrationData IntegrationData ManagementData Vault ModelingDevOpsMachine LearningPerformance TuningPredictive ModellingAzure Data FactoryGitMicrosoft FabricData Lake
Experienced Data Engineer and Technical Lead with strong expertise in Azure Databricks, PySpark, and Azure Data Factory. Recent projects include building a dynamic framework to automate Data Vault 2.0 object generation from metadata, delivering a scalable foundation for enterprise data integration. Developed ADF pipelines for ingesting diverse sources into Delta Lake, implemented Unity Catalog for GDPR compliance, and prepared data for predictive modeling. Applied CI/CD practices using Azure DevOps and GIT to ensure automated deployments and version control. Previous roles involved leading teams in data ingestion, migration, and optimization, leveraging PySpark, Azure Cloud, and Data Vault methodologies. Skilled in metadata-driven automation, performance tuning, and agile delivery for large-scale data platforms. Holds certifications in Data Vault modeling, and completed courses on Microsoft Fabric and Machine Learning Engineering. Committed to delivering cloud-native architectures with strong governance and continuous integration.
Experience
Professional experience10+ years
Freelancer since2022
Languages
EnglishGoodDutchGood
Project history
Developed a dynamic solution in Databricks and PySpark to automatically generate all Data Vault 2.0 objects from user-defined metadata. Enabled delivery of reliable, maintainable, and scalable enterprise-wide foundation for data integration and historization from various sources.
Guided offshore and onsite developers in building ingestion pipelines for Data Lake using Informatica BDM. Contributed to regulatory reports creation using PySpark on on-prem Spark cluster and maintained the Stater Pool Allocation Tool.
Certificates
Azure Databricks Platform Architect
Databricks2026
Databricks Generative AI Fundamentals
Databricks2026
Azure Databricks Platform Architect
Databricks2026
DP-700 Azure Fabric Data Engineer Associate
Microsoft2026
Databricks Data Engineer Associate
Databricks2026
AZ-900 Azure Fundamentals
Microsoft2019