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Senior Data Engineer – Java Spark Cloud-Native Applications

Lisbon
Hybrid

4 410 - 5 250

EUR

(B2B)

2 300 - 2 650

EUR

líq. (Permanent Contract)

Apache Spark Docker Gitlab Java Kubernetes Liquibase Maven Oracle ExaCC PostgreSQL S3
English, French
Senior
Banking
Data Engineer

Unleash transformative data solutions — drive innovation at the forefront of cloud-native technologies!

Lisbon-based opportunity with hybrid work model (up to 3 days remote per week).

As a Senior Data Engineer, you will be working for our client, a leader in data-driven solutions, focusing on the conception and development of a robust Data Processing platform using Spark in a dynamic and multicultural environment. You will contribute to shaping scalable and efficient data pipelines that empower strategic decision-making and innovation.

Your main responsibilities:

  • Design and develop high-performance data processing applications utilizing Apache Spark in batch mode.
  • Implement solutions with Java 9+ and Spring frameworks, incorporating modern language features like lambdas, streams, and futures.
  • Collaborate on cloud-native architectures using Docker and Kubernetes to ensure scalable deployment.
  • Optimize performance and troubleshoot complex data workflows, ensuring stability and efficiency.
  • Work with relational databases such as PostgreSQL and Oracle ExaCC, and manage object storage solutions like S3.
  • Contribute to CI/CD pipelines using tools like Maven, GitLab, ArgoCD, and Liquibase to streamline development.
  • Apply best practices in solution design, pattern implementation, and performance tuning.
  • Participate in code reviews and knowledge sharing to foster continuous improvement.

You're ideal for this role if you have:

  • At least 8 years of experience in Java/J2EE development, preferably in Data Processing contexts.
  • Minimum of 1-year hands-on experience with Apache Spark.
  • Strong proficiency with cloud-native applications, Docker, and Kubernetes.
  • Solid understanding of modern Java features, including lambdas, streams, and futures.
  • Experience with transactional SQL and Spark SQL.
  • Knowledge of relational databases like PostgreSQL and Oracle ExaCC.
  • Familiarity with CI/CD tooling such as Maven, GitLab, and Liquibase.
  • Good command of English (fluent) and French (B2 level).

It is a strong plus if you have:

  • Experience with Argo Workflow.
  • French language skills at B2 level.

Language Required for the role:

  • Fluent English and French.

Eligibility for the role:

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

#MAKEYourCareerBETTER
Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.

Internal number #8259

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