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# Data Engineer

- **Company:** TMC
- **Location:** Brussel, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Databases, Data as a Services, Data Validation, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Apache Hadoop, Python (Programming Language), PostgreSQL, MySQL, SQL Databases, Google Cloud, Data Storage Technologies, Apache Spark, Information Technology, Data Pipelines
- **Published:** September 1, 2026
- **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/Y2FkMzk3YmItZDA1Zi00ZjY4LThiYTctYTRhZWYzNzdmZTIyIDM?lang=en

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field.
 * 5+ years of experience in data engineering or related roles.
 * Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
 * Strong programming skills in languages such as Python, Java, or Scala.
 * Experience with big data technologies (e.g., Hadoop, Spark).
 * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
 * Knowledge of data modeling, data warehousing, and ETL processes.
 * Excellent problem-solving skills and attention to detail.
 * Strong communication and collaboration skills.
 * You are fluent in English and French or Dutch

## Description

* Design, develop, and maintain scalable data pipelines and ETL processes.
 * Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
 * Optimize and manage data storage solutions, including databases and data warehouses.
 * Implement data quality checks and ensure data integrity.
 * Develop and maintain documentation for data processes and systems.
 * Monitor and troubleshoot data pipeline performance and reliability.
 * Stay current with emerging technologies and industry best practices to continuously improve our data infrastructure


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