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AI gedreven Data Engineer
Build and optimize ETL pipelines, data warehouses in BigQuery, and dbt models for e-commerce clients using Python, Google Cloud, and CI/CD.
Data Engineering AWS/GCP
Build and optimize cloud data pipelines on AWS/GCP, integrating big-data tools like Spark and Kafka to deliver scalable analytics for Fortune 500 clients.
Senior Data Engineer
Build and advise on scalable data platforms and pipelines for Dutch enterprises using Python, SQL, and cloud tools like AWS/GCP/Azure.
Senior Data Engineer
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
GCP Data Engineer
Senior GCP Data Engineer builds and optimizes scalable data pipelines and CI/CD workflows using BigQuery, Dataflow, and Kubernetes, ensuring security and cost efficiency.
Data Engineer – Analytics – (DRWN)
Builds and maintains dbt data pipelines on Databricks/GCP to feed dashboards and analytics, part of a broader analytics transformation programme.
Senior Data Engineer
Senior Data Engineer builds and advises on scalable data platforms, ETL/ELT pipelines, and cloud infrastructure for Dutch clients, using Python, SQL, and cloud tools like AWS/GCP/Azure.
Senior Data Engineer
Senior Data Engineer builds scalable, reliable data platforms and pipelines in cloud environments for mobility, energy, and finance clients, using Python, Spark, Airflow, and cloud tools.
Senior Data Engineer
Senior Data Engineer builds and owns the data architecture for a fast-growing startup, designing pipelines, integrations, and AI-enabled workflows in Python, SQL, and Snowflake/BigQuery.
Junior Data Engineer
Build and maintain scalable data pipelines in Google Cloud to power real-estate insights and reports for millions of users, using Python, SQL, dbt, and CI/CD tools.
Azure data engineer
Build and optimize Azure-based cloud data pipelines and infrastructure for a client’s digital transformation, using Python, Terraform, and Databricks.
GCP Data engineer
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Senior Data Engineer
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Lead Data Engineer
Lead a data engineering team to build and maintain Python-based ELT pipelines into BigQuery, design SQLMesh models, and set engineering standards for a modern data stack.
Data Engineering Consultant
Build and optimize data pipelines and architectures for clients, using Python, SQL, and cloud platforms like AWS/Azure to process and integrate data at scale.
Marketing Data Engineer
Build and maintain the marketing measurement stack—tracking, attribution, and privacy-safe data flows—to power paid campaigns and experiments across web, app, and server environments.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses for AI-driven marketing analytics, integrating APIs and ETL processes using Python, SQL, and cloud platforms like AWS/GCP.
Data Engineer
Build and maintain real-time data pipelines on GCP to power Orbisk’s AI-driven food waste monitoring system, enabling hospitality clients to cut waste and emissions.
Data Engineer
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Data Engineer
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.