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Senior Java Backend Engineer – Data Processing Platform

Lisbon
Hybrid

4 410 - 5 250

EUR

(B2B)

2 300 - 2 650

EUR

net (Permanent Contract)

Docker Flink Gitlab Hadoop Java Kubernetes Liquibase Maven Oracle PostgreSQL Spark SQL
English
Senior
Developer

Ignite innovation in data processing — transform complex data into actionable insights with cutting-edge technology!

Lisbon-based opportunity with hybrid work model.

As a Senior Java Backend Engineer, you will be working for our client, a leader in data-driven solutions within the tech industry. You will contribute to the design and development of a powerful Data Processing application executed in batch mode using Spark, helping organizations harness big data for strategic growth. Join a dynamic team committed to pushing the boundaries of data processing and analytics.

Your main responsibilities:

  • Develop and optimize Java backend components for large-scale data processing applications.
  • Contribute to the conception and implementation of scalable batch processing solutions using Spark.
  • Collaborate on solution design, ensuring adherence to best practices and performance standards.
  • Integrate container-based deployments using Docker and Kubernetes within CI/CD pipelines.
  • Support the migration and integration of relational databases and object storage systems.
  • Continually enhance system performance through analysis and tuning.
  • Engage in knowledge growth around Big Data technologies, particularly Apache Spark.
  • Work within a multicultural environment to deliver high-quality software solutions.

You're ideal for this role if you have:

  • At least 7 years of hands-on experience in Java development (Java 8+).
  • Strong expertise in backend architecture, API design, and solution architecture.
  • Proven experience with SQL and relational databases (PostgreSQL, Oracle).
  • Solid understanding of containerization with Docker and orchestration with Kubernetes.
  • Familiarity with CI/CD tooling such as Maven, GitLab, ArgoCD, and Liquibase.
  • Good analytical skills and a proactive approach to working in data-intensive environments.

It is a strong plus if you have:

  • Exposure to or willingness to learn Apache Spark and Big Data frameworks.
  • Knowledge of Spark SQL, Hadoop, Flink, or related technologies.
  • Experience with batch processing workflows and ETL pipelines.
  • French language skills at B2 level.

Language required for the role:

  • English (Communicative level)

Eligibility to work in Europe:

  • Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Internal number #10154

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