Data Engineer
Core
Design, build, and maintain data pipelines and cloud infrastructure to support marketing analytics and AI-driven innovation.
Role type
Data Engineer
Builds
Data pipelines, ETL processes, data models, and data warehouses for a major Netherlands client.
Domain
Marketing Technology / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Cloud platforms (AWS, GCP), API authentication (OAuth, API keys), Data modeling (dbt, Dataform), Data warehousing (Redshift, BigQuery), ETL concepts
Preferred skills
CI/CD, Version control, Marketing analytics tools (Google Analytics, Adobe Analytics), Social data platforms, Machine learning and Gen-AI models
Technologies
AWS, GCP, dbt, Dataform, Amazon Redshift, Google BigQuery, OAuth, API keys
Responsibilities
Develop data pipelines and solutions across cloud platforms; Support authentication and integration of platform APIs; Participate in the design and implementation of data models and data warehouses; Develop data transformation recipes; Monitor and troubleshoot data pipelines; Collaborate with the data science team to integrate ML models and Gen-AI applications
Seniority
Junior to Mid-level (1+ years experience)