dbt Analytics Engineer

About Cronos Europa

Cronos Europa is a leading IT and digital transformation partner dedicated exclusively to European Institutions and agencies, delivering mission-critical solutions that shape Europe’s digital future. As part of the Cronos Group, one of the most innovative and fastest-growing tech ecosystems in Europe, we benefit from a vast pool of expertise and cutting-edge capabilities. With over 1,000 specialists across Belgium, Luxembourg, and the Netherlands, we combine deep institutional knowledge with strong engineering excellence to support long-term, high-impact EU programmes requiring reliability, scalability, and innovation.

About the job

We are looking for a dbt Analytics Engineer to design, develop and optimise scalable data transformation pipelines. You will contribute to modern analytics solutions using dbt, SQL and PySpark, with a strong focus on data modelling, quality, testing and performance.

Key Responsibilities

· Design and develop reliable and scalable data transformation pipelines.

· Build, maintain and optimise dbt projects and modern data models.

· Implement data quality checks, automated testing and regression validation.

· Develop SQL and PySpark transformations for large-scale data processing.

· Translate business requirements and legacy processing logic into modern data transformations.

· Document solutions and promote dbt best practices within the team.

Profile requirements

· EQF Level 6 or higher in Computer Science, IT, Systems Engineering or a related field.

· Strong hands-on experience with dbt, preferably dbt Core.

· Advanced SQL skills and solid experience with modern data modelling.

· Practical experience with PySpark, Apache Spark and Apache Iceberg.

· Familiarity with Git, CI/CD, automated deployment and job orchestration.

· Strong analytical, problem-solving, communication and documentation skills

Desired Assets

While not required, the following qualifications would be considered an advantage:

· Experience optimising Spark jobs and distributed data workloads.

· In-depth knowledge of Apache Iceberg, including schema/partition evolution, snapshots and performance optimisation.

· Experience with orchestration tools such as Dagster.

· Knowledge of SAS-based ETL and experience migrating legacy SAS workflows to dbt and PySpark.

· Experience working in international and collaborative environments.

If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cronos Europa!