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Data Engineer - Java focused

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Amaris Consulting

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Location:
Netherlands , Veldhoven

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Are you a passionate Java developer with a strong interest in data and building robust, high-performance systems? We’re looking for a Data Engineer with deep Java expertise to design, develop, and maintain scalable ETL pipelines and data solutions in a fast-paced, innovative environment. This is not just a data role — it’s for a software engineer who loves data. If you thrive on turning complex data challenges into elegant, maintainable code using Java 11, Spring Boot, and cloud-native tools, this is your next big step. You’ll be part of a collaborative, agile team shaping the future of data infrastructure — with real impact on business decisions, product innovation, and system scalability.

Job Responsibility:

  • Design, develop, and deploy high-performance ETL pipelines using Java 11 and modern frameworks
  • Build and maintain RESTful microservices using Spring Boot, ensuring scalability and reliability
  • Write clean, efficient, and well-documented SQL scripts and contribute to data modeling and schema design
  • Collaborate across teams to integrate data from diverse sources into unified, actionable systems
  • Use Gradle, Maven, Git (GitHub), and TFS to manage code, CI/CD pipelines, and version control
  • Apply design patterns and best practices to create modular, testable, and maintainable code
  • Work in cloud environments (AWS) to deploy and manage data infrastructure
  • Participate in all phases of the SDLC: analysis, coding, testing (including Mockito), debugging, and release

Requirements:

  • Strong hands-on experience with Java 11, Spring Boot, RESTful APIs, and JdbcTemplate
  • Proven experience in ETL development and data pipeline engineering using Java
  • Solid understanding of SQL scripting, database design, and data modeling
  • Experience with IDEs like IntelliJ IDEA or Eclipse, and build tools like Maven and Gradle
  • Familiarity with testing frameworks (e.g., Mockito) and version control (Git)
  • Exposure to cloud platforms (AWS) and containerization concepts (Docker/Kubernetes — a plus)
  • A problem-solving mindset, strong analytical skills, and a passion for clean, efficient code

Nice to have:

  • Experience with Vertica or other analytical databases
  • Knowledge of data warehousing, streaming data, or big data tools (e.g., Apache Spark)
What we offer:
  • Performance bonuses
  • Mobility options including lease cars

Additional Information:

Job Posted:
January 29, 2026

Work Type:
Hybrid work
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