Senior Java Backend Engineer – Data Processing Platform
4 410 - 5 250
EUR
(B2B)
2 300 - 2 650
EUR
net (Permanent Contract)
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
Benefits
ITDS Clubs
Access to medical insurance
Meal Card
Access to Pluralsight & Udemy
Integrational Events
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