Analytics Engineer

Crystalloids - Google Cloud Premier Partner; Rotterdam; On-site; EUR 50.000 - 75.000; Full time

Job summary

A leading company in data solutions seeks an Analytics Engineer to drive data-driven decisions. You will create scalable data platforms on Google Cloud, focusing on data modeling, transformation, and collaboration with stakeholders. Ideal candidates will have a passion for data and strong technical expertise.

Benefits

Competitive salary with bonuses and pension scheme

Excellent work/life balance and up to 28 days of annual leave

Opportunities for personal and professional growth

A laptop and first-class travel arrangements

Qualifications

• Over 3 years of experience in Data Modeling, Engineering, and Analytics.
• Hands-on experience with the Google Cloud Platform and related technologies.
• Fluency in English; Dutch is a plus.

Responsibilities

• Design and implement robust data models using dbt.
• Collaborate with stakeholders to understand business needs.
• Write efficient SQL and Python code for data transformation.

Skills

Data Modeling

Data Engineering

Data Analytics

Collaboration

Problem Solving

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

dbt

BigQuery

Cloud Storage

Cloud Run

Cloud Composer

Terraform

Job description

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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? If so, we’d 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.

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.

Present your work to clients, gather feedback, and help shape data products that meet their business objectives.

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 with the Google Cloud Platform (GCP) ecosystem
• Proficiency in Core Tools: dbt, BigQuery, Cloud Storage, Cloud Run, Cloud Composer/Apache Airflow, Dataform, and Terraform (infrastructure as code), Version control tools.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Software Development

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