05/15/2026 updated
HM
100 % available
Staff Software Engineer | Backend, Cloud & Data Engineering
Zoetermeer, Netherlands
Only remote
Application Programming Interfaces (APIs)Google BigQueryCloud EngineeringCloud FoundryVirtual Private ServersCloud TestingApache CloudStackData GovernanceDevOpsPython (Programming Language)Node.jsDataOpsCloud Platform SystemData ScienceEvent-driven Architecture
Backend Development with Node.js, Java & Python
Extensive experience building event-driven and RESTful backend services using Node.js/TypeScript, Java Spring Boot, and Python. Design and implementation of scalable microservices, ETL pipelines, and API layers across multiple enterprise environments.
Cloud Infrastructure & DevOps (AWS, GCP, Azure)
Deep expertise across major cloud platforms including AWS (DynamoDB, S3, ECS), GCP (BigQuery, Dataproc, Pub/Sub), and Azure (Data Factory, Synapse Analytics, Data Lake). Proficient in Terraform, Terragrunt, Kubernetes, Docker, and CI/CD pipeline automation.
Data Engineering & Pipeline Architecture
Strong background in designing and maintaining batch and streaming data pipelines, data warehouse structures, and ETL/ELT workflows. Experience with Kafka, Confluent Cloud, BigQuery, Azure Synapse, and DataOps practices for large-scale analytics and reporting.
GraphQL & API Design
Building and maintaining GraphQL subgraph services using Apollo Federation v2, providing search, typeahead, tag resolution, and user validation capabilities within federated gateway architectures. Also experienced with Protobuf and REST API design following OAS standards.
Kafka & Event-Driven Architecture
Development of Kafka consumer infrastructure for processing protobuf-encoded events, including schema validation, processor routing, retry logic, and offset management. Integration of Confluent Cloud RBAC infrastructure via Terraform/Terragrunt.
Machine Learning & Data Science
Creation of machine learning models for A/B testing and performance detection, integrating outputs into downstream data products. Certified in Machine Learning by Stanford University and in Exploratory Data Analysis and R Programming via Coursera.
Frontend Development
Experience with TypeScript, React, MaterialUI, JavaScript, Angular, and Twitter Bootstrap for building frontend applications and defining front-end technology conventions.
Security & Compliance
Implementation of security standards including mTLS, OAuth2, JWT, and data governance and compliance frameworks across multi-tenant cloud environments.
Technical Leadership & Mentoring
Coordination of multiple teams across different projects, definition of roadmaps and technology stacks, authoring Architecture Decision Documents, and mentoring junior developers to become more effective professionals.
Extensive experience building event-driven and RESTful backend services using Node.js/TypeScript, Java Spring Boot, and Python. Design and implementation of scalable microservices, ETL pipelines, and API layers across multiple enterprise environments.
Cloud Infrastructure & DevOps (AWS, GCP, Azure)
Deep expertise across major cloud platforms including AWS (DynamoDB, S3, ECS), GCP (BigQuery, Dataproc, Pub/Sub), and Azure (Data Factory, Synapse Analytics, Data Lake). Proficient in Terraform, Terragrunt, Kubernetes, Docker, and CI/CD pipeline automation.
Data Engineering & Pipeline Architecture
Strong background in designing and maintaining batch and streaming data pipelines, data warehouse structures, and ETL/ELT workflows. Experience with Kafka, Confluent Cloud, BigQuery, Azure Synapse, and DataOps practices for large-scale analytics and reporting.
GraphQL & API Design
Building and maintaining GraphQL subgraph services using Apollo Federation v2, providing search, typeahead, tag resolution, and user validation capabilities within federated gateway architectures. Also experienced with Protobuf and REST API design following OAS standards.
Kafka & Event-Driven Architecture
Development of Kafka consumer infrastructure for processing protobuf-encoded events, including schema validation, processor routing, retry logic, and offset management. Integration of Confluent Cloud RBAC infrastructure via Terraform/Terragrunt.
Machine Learning & Data Science
Creation of machine learning models for A/B testing and performance detection, integrating outputs into downstream data products. Certified in Machine Learning by Stanford University and in Exploratory Data Analysis and R Programming via Coursera.
Frontend Development
Experience with TypeScript, React, MaterialUI, JavaScript, Angular, and Twitter Bootstrap for building frontend applications and defining front-end technology conventions.
Security & Compliance
Implementation of security standards including mTLS, OAuth2, JWT, and data governance and compliance frameworks across multi-tenant cloud environments.
Technical Leadership & Mentoring
Coordination of multiple teams across different projects, definition of roadmaps and technology stacks, authoring Architecture Decision Documents, and mentoring junior developers to become more effective professionals.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
EnglishFluentDutchBasic knowledgePortugueseNative speakerSpanishGood
Project history
Designed and implemented event-driven backend services in Node.js/TypeScript for sports content search and sitemap generation, integrating Kafka consumers, DynamoDB, S3, and Fastly CDN purge workflows at scale. Built and maintained a GraphQL subgraph service (Apollo Federation v2) providing search, typeahead, tag resolution, and user validation capabilities. Developed Kafka consumer infrastructure for processing protobuf-encoded article, taxonomy, and user profile events. Engineered SEO-critical sitemap generation pipelines and configured Confluent Cloud RBAC infrastructure via Terraform/Terragrunt.
Designed and maintained data pipelines on Azure using Azure Data Factory for batch ingestion across 43 markets. Built and optimized data warehouse structures in Azure Synapse Analytics. Implemented data quality and reliability controls, developed ETL pipelines for transactional booking data, and applied DataOps and CI/CD practices to automate pipeline deployment, monitoring, and alerting across distributed European infrastructure.
Designed and maintained batch and streaming data pipelines on GCP, leveraging BigQuery for large-scale analytics and Dataproc for distributed data processing with PySpark. Built and optimized data warehouse schemas in BigQuery, implemented data quality and reliability frameworks, developed ETL/ELT pipelines, applied DataOps practices, and created machine learning models for A/B testing and performance detection.