Company: EURES
Country: Netherlands
Type: Onsite
Employment: Contract
Description: In short: In a multidisciplinary data and analytics team, you will unlock, transform and model data, develop ETL processes and data models, ensure data quality and work with SQL, Python, DBT and CI/CD in a modern cloud environment.
Assignment description
For a multidisciplinary Data & Analytics team we are looking for a Medior Data Engineer who helps develop, manage and improve data solutions within a modern cloud data environment.
The Data Engineer is responsible for unlocking, transforming and modeling data from various sources and actively contributes to the realization of reliable and scalable data products. The candidate contributes to designing data models, developing ETL processes and ensuring data quality.
The assignment is carried out within an Agile team in which there is close collaboration with Data Analysts, Data Engineers, Product Owners and other stakeholders.
Activities
- Developing and maintaining data pipelines and ETL processes.
- Designing and implementing data models.
- Developing transformations in DBT.
- Working with SQL within a modern cloud data environment.
- Developing Python code for data processing and automation.
- Ensuring data quality by testing and validating datasets and data models.
- Working with version control, deployment processes and CI/CD principles.
- Collaborating within an Agile working method.
Wanted profile
We are looking for a Data Engineer who can work independently within a modern data platform and who gets energy from building reliable data solutions. The candidate combines technical skills with a pragmatic attitude and understands how data is modeled, processed and managed from source to data product.
The ideal candidate has experience with SQL, Python, DBT and data modeling and feels at home in an Agile environment in which collaboration, quality and continuous improvement are central.
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