Introduction
We are looking for a hands-on Data Engineer to support the evolution of a modern data and analytics platform within a large-scale, international environment.
The team is currently working on the migration from a legacy data platform to a modern data architecture, introducing new technologies and structured data layers (Bronze, Silver, Gold) to improve scalability, performance, and analytics capabilities.
You will work in a cross-functional agile team together with analysts, engineers, and business stakeholders.
This is a collaborative international environment, where you will also work closely with teams located in different regions.
Responsibilities
- Develop and maintain data pipelines and data processing workflows
- Contribute to the design and implementation of modern data platform architecture
- Build and optimize data ingestion, transformation, and processing pipelines
- Support the development of analytics and business insight use cases
- Work with structured data layers such as Bronze, Silver, and Gold
- Ensure data quality, reliability, and performance across the platform
- Collaborate with analysts, engineers, and operational teams
- Support the migration of legacy data transformations to the new platform
- Contribute to platform automation, deployment, and operational stability
- Work closely with distributed teams in an international setup
Requirements
Experience
- Minimum 3 years of experience in data engineering or data platform development
- Strong hands-on mindset and ability to work in complex technical environments
- Experience working in agile development environments
- Experience with Java, Apache Spark, Airflow, NiFi
- Experience with Python/Scala is a plus
- Language: English
Extra
- Freelance contract: Long term
- hybrid remote policy
- Location: Around Brussels
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