What You'll Do
Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and analytics.
Ingest and manage data sources in platforms such as AWS, Databricks, and Snowflake.
Structure and model data into scalable, reliable architectures (from raw to business vault, silver and gold layers).
Collaborate with Data Scientists to transform data discoveries into actionable insights and models.
Automate data acquisition and streamline data management workflows.
Implement and scale data engineering methodologies across business domains.
Stay current with market and technology trends to continuously improve the data platform.
What We're Looking For
2-5 years of hands-on experience as a Data Engineer or similar role.
Strong experience with AWS, DBT, Snowflake, and Databricks.
Understanding of data architecture, data modeling, and vault modeling (raw vault to business vault).
Solid experience with the transformation and loading (T+L) aspects of ETL processes.
Excellent communication skills in English (Dutch is a plus).
Professional, curious, and eager to develop technical depth in data engineering.
Nice to Have
Experience in the transportation or logistics
Fluent Dutch language skills.
Familiarity with business intelligence tools and data visualization concepts.
Work Environment
Hybrid setup: 3 days onsite (Wednesday and Friday are office days; home working is a privilege, not a right).
Collaborative, data-driven culture with a strong focus on professional growth and knowledge sharing.
Expect a dynamic environment where you can make a real impact and continue to develop your expertise.
Desired Skills and Experience
AWS Databricks Snowflake DBT ETL Data Data Engineering SQL
Venquis is acting as an Employment Agency in relation to this vacancy.