dbt Analytics Engineer
At a glance
Mid-level Data Analysis & BI role at Cronos Europa. Brussels · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable data pipelines and keep dbt projects and analytical models running efficiently
- Add data checks, automated tests and regression validation to protect transformation quality
- Use SQL and PySpark to process large datasets and convert business needs or legacy logic into modern transformations
- Document your solutions and help teammates follow dbt practices
What you bring
- An EQF Level 6 or higher qualification in computer science, IT, systems engineering or a related field
- Hands-on dbt experience, advanced SQL ability and practical work with modern data modelling
- Experience using PySpark, Apache Spark and Apache Iceberg
- Working familiarity with Git, CI/CD, automated deployment and job orchestration
Who this fits
This mid-level, full-time role suits an analytics engineer focused on dbt transformations, modelling and data quality. The stated qualification and experience with dbt, SQL, PySpark, Spark and Iceberg are central to the profile.
From the employer
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 Senior 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!
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