Analytics Engineer (Data & Cloud)

Crystalloids - Google Cloud Partner; Rotterdam; On-site; EUR 75,000 - 105,000; Full time

Benefits offered by this job

Competitive salary

Pension scheme

Annual leave

Job summary

Crystalloids, a Premier Google Cloud partner, seeks an Analytics Engineer to design robust data models and build scalable data platforms on Google Cloud. You will transform raw data into clean, documented datasets and collaborate with business stakeholders to deliver value.

You will work with dbt, Python, SQL, and BigQuery within a Cloud-first environment, owning data ingestion pipelines and promoting CI/CD practices. Rotterdam-based role with international exposure and growth opportunities.

Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 3+ years hands-on experience in Data Modeling, Data Engineering, and Data Analytics.
• Hands-on Cloud experience with GCP.
• Proficiency in core tools: dbt, BigQuery, Cloud Storage, Cloud Run, Cloud Composer/Apache Airflow, Dataform, Terraform; version control with Git.
• Programming languages: Python, Java, or other OO language; SQL.
• Experience with Agile development (Scrum), TDD, UML, and scripting (Shell).
• Strong problem-solving abilities and cross-functional collaboration.
• GCP Professional certificate is a plus.

Responsibilities

• Design and implement robust data models with dbt.
• Transform raw data into clean, documented datasets for reporting and analytics.
• Collaborate with stakeholders to translate business logic into technical solutions.
• Write efficient SQL, Python, and data transformation pipelines for BigQuery and other GCP services.
• Own data ingestion and reliable pipeline execution using Cloud Composer, Cloud Run, Pub/Sub, and Cloud Storage.
• Implement Analytics Engineering as Code with automated tests and CI/CD.

Skills

dbt

Python

SQL

Data modeling

Agile/Scrum

Education

Bachelor's or Master's in CS/Engineering

Tools

Cloud Run

Cloud Composer/Apache Airflow

Dataform

Terraform

Git

BigQuery

Job description

Crystalloids was founded in 2006 and consists of qualified software and data specialists that help organizations innovate and grow their business by building data-driven solutions. We are a Premier Google Cloud partner. We believe that the foundation for a successful solution is based on three dimensions: the people, the processes and the technology. At Crystalloids we always take these three dimensions into account when we build solutions for our customers.

We have gained a very respectable client portfolio over the years. Our clients operate in market verticals like retail, e-commerce, CPG, media, travel, leisure such as Rituals, KNVB, Body & Fit, FD Mediagroep, ACSI.

What will you do as an Analytics Engineer?

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’ll 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?

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.

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. This includes building and maintaining data pipelines, not just collaborating with Data Engineers.

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 data sets are thoroughly documented to support transparency, reproducibility, and long-term maintainability.

Experience and qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Professional Experience: Over 3 years of hands-on experience and proficiency in Data Modeling, Data Engineering, and Data Analytics.
• Cloud Expertise: Hands-on experience
• Proficiency in Core Tools: dbt, BigQuery, Cloud Storage, Cloud Run, Cloud Composer/Apache Airflow, Dataform, and Terraform (infrastructure as code), Version control tools. Use AI-powered development tools such as GitHub Copilot, Gemini Code Assist, ChatGPT, Claude to accelerate software development
• Programming languages: Python, Java or other object-oriented language, SQL
• Methodologies: Experience with Agile development using Scrum, test-driven development (TDD), object orientation and modeling via UML, and scripting (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.

What we offer

• Work in an international environment with a vibrant social support network
• Competitive salary with an interesting bonus and pension scheme
• Excellent work/life balance and up to 28 days of annual leave
• Work primarily from our vibrant Rotterdam office, with opportunities to visit clients' offices, fostering collaboration and engagement in dynamic professional environments
• A laptop and first-class travel arrangements by public transport
• Opportunities for personal and professional growth through various technical courses.