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!