Analytics Engineer (dbt & PySpark)

Analytics Engineer (dbt) (EU Citizens Only)

Location: Brussels, Belgium (Near-site)

We are looking for an Analytics Engineer (dbt) to design, develop, and optimize modern data transformation pipelines supporting large-scale analytics and reporting platforms.

Key Responsibilities

Develop and maintain scalable data transformation pipelines using dbt.

Optimize dbt project performance and execution times.

Design and implement data quality controls, validation checks, and automated testing.

Develop PySpark-based data transformation workflows.

Support migration of legacy data processing solutions to modern data platforms.

Implement CI/CD best practices for analytics engineering projects.

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into reliable data solutions.

Create and maintain technical documentation.

Key Skills

dbt (Core)

SQL

PySpark

Apache Spark

Apache Iceberg

Data Modeling

Data Quality & Testing

Git

CI/CD

Dagster (or similar orchestration tools)

Education

Bachelor's degree (EQF Level 6) or higher in Computer Science, Information Technology, Systems Engineering, or a related field.

Nice to Have

Experience with SAS ETL migration projects.

Experience with modern Data Lakehouse architectures.

Knowledge of Apache Iceberg internals and optimization techniques.