✦ Luna Orbit — Software Engineering

Backend Engineer - Machine Learning and Data Engineering

at Wise

📍 Budapest Unknown Posted March 02, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category Software Engineering

This role involves developing data engineering solutions for risk assessment and fraud detection, focusing on stream and batch processing within microservices architectures.

  • Develop data pipelines
  • Integrate microservices
  • Optimize stream/batch workflows
  • Collaborate with data teams
  • Solve complex technical problems

The environment includes Java 11+, Apache Spark, Flink, Kafka, microservices, and data processing pipelines for risk and fraud analysis.

The ideal candidate is a senior backend engineer with over 5 years of experience in Java 11+, skilled in stream and batch processing with Apache Spark, Flink, and Kafka. They possess strong problem-solving skills and experience with distributed microservices architectures.

Java 11+experience with batch or stream processingApache SparkFlinkKafkamicroservicessystem integration
UI developmentdata engineeringML/AI understanding
Apache SparkFlinkKafkaGit
Java 11+Apache SparkFlinkKafkamicroservicessystem integrationdata processingstream processingbatch processingproblem-solving
Java 11+JavaPythonApache SparkFlinkKafkamicroservicessystem integrationdata processingstream processingbatch processingproblem-solvingstakeholder management
communicationproblem-solvingstakeholder managementcollaborationdecision-making
Industry Fintech
Job Function Data engineering and backend development for risk and fraud systems
Backend EngineerJava 11+Apache SparkFlinkKafkamicroservicessystem integrationstream processingbatch processingdata engineeringrisk assessmentsdistributed systemsPythonproblem-solvingstakeholder managementcollaboration

Lack of Java 11+ experience, No experience with Spark, Flink, or Kafka, No microservices experience, Unfamiliar with system integration patterns

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