Data Engineer — Build the Core Data Platform & Impact

itsme®; Brussel Hoofdstad; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Indefinite contract

Central Brussels offices; remote 3d/wk

Résumé du poste

itsme® in Belgium is seeking a Data Engineer to build and scale the data platform, acting as the single source of truth for reporting, security and product decisions. You will design pipelines that move data from source systems to a robust, governed data model and enable advanced analytics.

You will work at the center of Technology, applying engineering best practices and collaborating across functions to support fraud detection and machine learning initiatives.

Qualifications

• Bachelor's or master's in computer science, software engineering, information technology, or related field.
• 3–4 years of professional experience as a data engineer or similar role.
• Strong Python, PySpark and SQL skills for production-grade pipelines.
• Experience with modern cloud data platforms (Databricks, Snowflake, Azure Synapse).

Responsabilités

• Design, build and maintain robust data ingestion pipelines from diverse sources into a central platform.
• Develop batch and streaming pipelines using cloud solutions like Databricks or Snowflake.
• Migrate reporting workloads from Azure Synapse to the new platform.
• Implement data quality, monitoring and observability for reliable pipelines.
• Leverage the data platform for fraud signals, behavioural insights, and ML use cases.
• Apply engineering best practices: version control, CI/CD, infrastructure-as-code (Terraform).

Connaissances

Python

PySpark

SQL

Data pipelines

Git

CI/CD

Data modelling

Power BI

Communication

Formation

Bachelor's or Master's in CS / SE / IT

Outils

Databricks

Snowflake

Azure Synapse / Azure DF

Description du poste

itsme® in Belgium is seeking a Data Engineer to build and scale the data platform, acting as the single source of truth for reporting, security and product decisions. You will design pipelines that move data from source systems to a robust, governed data model and enable advanced analytics.

You will work at the center of Technology, applying engineering best practices and collaborating across functions to support fraud detection and machine learning initiatives.