Brussels, BE
Actively hiring, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
· 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.
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
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
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.
· 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.
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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At Cronos Europa, jobs usually come down by about day 15.
From 1,417 similar postings that came down, and 12 of Cronos Europa’s. Coming down is not always a hire.
8 open jobs
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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!
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Brussels, BE
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