Data Engineer

Project overview

This assignment is only suitable for freelancers who come to us on a specific arrangement, this will be explained by phone. Offering from another supplier is not permitted. Office days: Wednesday and Friday, presence on these days is mandatory. Amersfoort | Hybrid | 32-40 hours. Assignment description: For a multidisciplinary Data & Analytics team, we are looking for a Medior Data Engineer who will help build, 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 realizing reliable and scalable data products. The candidate will contribute to designing data models, developing ETL processes, and ensuring data quality. The assignment is carried out within an Agile team where close collaboration takes place 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 methodology.

Requirements

The candidate possesses:

Python: Minimum 2 years of experience as a Data Engineer where Python was actively used in assignments. Demonstrable experience with developing or generating code for data processing, automation, or ETL processes.

DBT: Minimum 1 year of demonstrable experience with DBT. Ability to independently develop and maintain data models and transformations within DBT.

SQL / Snowflake: Demonstrable experience with SQL within a modern cloud data environment. Experience with Snowflake is a strong plus.

Git: Demonstrable experience with Git within professional development environments.

CI/CD: Experience working within CI/CD environments. Understands the operation of deployment, branching, and release processes. Experience as a user of CI/CD is sufficient; no experience as an administrator or builder is required.

Data Modeling (Kimball): Experience with designing and applying data models according to Kimball principles. Can interpret, apply, and further develop dimensional models.

Agile: Experience with Agile working. Understands the Agile mindset and has gained experience within Scrum or comparable teams.

Wishes:

Orchestration: Experience with Airflow. If no experience with Airflow: demonstrable experience with a comparable orchestration tool.

AWS: Experience with AWS components, preferably: S3, IAM, Elastic Container Services.

Metadata and Modeling: Experience with LinkML. Experience with SHACL. Experience with YAML.

Domain Knowledge: Knowledge of CIM (Common Information Model). Knowledge of the electricity grid. Experience within the energy sector or with grid operators.

Profile sought:

We are looking for a Data Engineer who can work independently within a modern data platform and who gets energized by 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 where collaboration, quality, and continuous improvement are central.

Project details

• Start: 2026-11-14T23:00:00
• Location: Amersfoort Utrecht, NL
• Languages: Dutch