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# Data Engineer

- **Company:** ICT Talents
- **Location:** Antwerpen, Belgium
- **Salary:** €30,000.0 - €51,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Computer Programming, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), NoSQL, SQL Databases, Talend, Google Cloud, Data Storage Technologies, Cloud Platform System, Apache Spark, Information Technology, Data Analytics, Apache Kafka, Data Management, Data Pipelines
- **Published:** June 24, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=831ccbf3895d79c2

## About the Role

Do you have experience in Talend?, * A degree in a technical field such as Computer Science, Mathematics, Data Science, or a similar field.

 * Proven experience as a Data Engineer or in a similar role.
 * Experience with ETL processes and data management tools (e.g., Apache Kafka, Apache Spark, Talend).
 * Knowledge of databases and data warehousing (SQL, NoSQL).
 * Experience with cloud environments such as AWS, Google Cloud, or Azure is a plus.
 * Proficiency in programming, preferably in Python, Java, or Scala.
 * Strong communication skills and the ability to work both independently and in a team.
 * Experience working in agile environments is a plus.

## Description

As a Data Engineer, you will be responsible for developing, managing, and optimizing the data infrastructure within the organisation. You will work closely with the data analytics team and other technical departments to ensure that the required data is available and well-structured for analysis and reporting., * Develop and maintain data flows and data pipelines.

 * Optimize the performance of the data infrastructure.
 * Collaborate with data scientists, analysts, and other technical teams to implement data solutions.
 * Integrate data from various internal and external sources.
 * Implement quality control measures to ensure the integrity and accuracy of data.
 * Analyze and resolve technical issues related to data storage and processing.
 * Ensure proper documentation and share best practices with colleagues.


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