We are looking for a
Senior Analytics Engineer
in
Brussels, Belgium
, with strong expertise in
dbt, SQL, PySpark and Apache Iceberg
.
You will design and optimize scalable data transformation pipelines, modernize legacy data processing workflows and ensure data quality across enterprise analytics environments.
Candidates need to be based in Brussels or willing to relocate to Brussels.
Tasks and Responsibilities
Design, develop and maintain
scalable data transformation pipelines
using dbt and PySpark;
Optimize
dbt project performance
, SQL transformations and incremental data processing;
Develop and maintain
data quality checks, automated regression tests and pipeline validation procedures
;
Design modular dbt models using staging, intermediate and marts layers, reusable macros and established analytics engineering practices;
Work with
Apache Iceberg tables
, including schema evolution, partition evolution and snapshot management;
Translate business requirements and legacy processing logic into reliable, production-ready data transformations;
Support migration and reconciliation activities, ensuring functional equivalence between legacy and modern data pipelines;
Establish dbt development best practices, maintain technical documentation and collaborate with data engineering and business teams.
Profile
Bachelor's or Masters degree and
6+ years of IT experience
;




Proven hands?on experience with
dbt
, preferably dbt Core, including production development, testing, documentation and maintenance;
Strong knowledge of
analytics engineering, modern data modelling and modular dbt architectures
;
Advanced
SQL skills
, including complex transformations, query optimization and incremental processing;
Practical experience with
PySpark and Apache Spark
, including distributed processing, partitioning and performance optimisation;
Proven experience with
Apache Iceberg
, including schema evolution, partition evolution, snapshot management and time travel; ;
Strong understanding of
data quality, reconciliation, automated testing and validation
, particularly during legacy system migrations;
Experience with
Git, CI/CD pipelines, code reviews and automated deployment practices
;
Familiarity with
workflow orchestration and scheduling tools
, such as Dagster, for dbt and Spark workloads;
Ability to document technical solutions and collaborate with data engineers, analysts, business stakeholders and platform teams.
Experience with
SAS-based ETL and migration from SAS to dbt
would be a strong advantage.
Knowledge of Spark job optimization and advanced Apache Iceberg internals, including compaction and transaction behavior, would also be beneficial.
Key Technologies & Skills
#J-*****-Ljbffr

📌 Senior Dbt Analytics Engineer, Pyspark & Apache – Relocation Brussels (Bardi)
🏢 All European Careers BENELUX
📍 Bardi