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# Analytics Engineer

- **Company:** Crystalloids
- **Location:** Rotterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Data Analysis, Business Logic, Automation of Tests, BigQuery, Cloud Storage, Continuous Integration, Information Engineering, Data Governance, Data Transformation, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Cloud Services, Shell Script, SQL Databases, UML, Google Cloud, Test-Driven Development (TDD), Data Ingestion, Git, Core Data, Information Technology, Google Cloud Functions, Data Analytics, Data Management, Terraform
- **Published:** September 2, 2026
- **Apply:** https://www.nationalevacaturebank.nl/vacature/18cee667-eb4a-4bc3-aaaf-2f4e049f5080/analytics-engineer

## About the Role

+ Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field
 + Cloud Expertise: Hands-on experience with the Google Cloud Platform (GCP) ecosystem
 + Proficiency in Core Tools: dbt, BigQuery, Cloud Storage, Cloud Composer/Apache Airflow, Dataform, and Terraform
 + Programming languages : Python, Java or another object-oriented language, SQL
 + Methodologies : Experience with Agile development using Scrum, test-driven development (TDD), object orientation and modeling via UML, shell scripting, CI/CD
 + Soft Skills : Strong problem-solving abilities, effective collaboration with cross-functional teams, and proficiency in documenting workflows and designs
 + Certificates : A GCP Professional certificate (Developer, Data Engineer, Architect) is a plus
Other Requirements

 + Reside in the Netherlands
 + Possess fluency in English (written and spoken); Dutch language skills are a plus

## Description

Crystalloids empowers organizations to become truly data-driven by building scalable and efficient data platforms on Google Cloud. In your role as an Analytics Engineer , you will operate at the intersection of data engineering and business analytics. This means not only transforming raw data into meaningful insights using tools like dbt, Python, and SQL but also contributing to core data engineering tasks within the Google Cloud Platform (GCP) ecosystem.
Are you passionate about creating well-modeled, tested, and documented datasets that drive business value? Do you enjoy collaborating with both technical and business stakeholders? If so, we would love to talk with you!
Main Responsibilities and Tasks

 + Data Modeling & Transformation : Design and implement robust data models using dbt to transform raw data into clean, documented, and reusable datasets for reporting and analytics.
 + Analytics Enablement : Collaborate with stakeholders to understand business logic and requirements, and translate them into technical solutions that are traceable, testable, and version-controlled.
 + Development and Optimization : Write efficient and maintainable SQL, Python, or an object-oriented language for data transformation pipelines, ensuring performance and scalability on BigQuery and other GCP services.
 + Data Engineering Responsibilities : Take ownership of data engineering tasks to ensure robust data ingestion and reliable pipeline execution using tools such as Cloud Composer, Cloud Run, Pub/Sub, and Cloud Storage.
 + Testing and CI/CD : Implement "Analytics Engineering as Code" principles, including automated testing, CI/CD pipelines, and version control using Git and Terraform (where applicable).
 + Documentation & Data Governance : Ensure all transformations and datasets are thoroughly documented to support transparency, reproducibility, and long-term maintainability.
 + Client Collaboration : Present your work to clients, gather feedback, and help shape data products that meet their business objectives.


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