Data Engineer Bucharest

Data Engineer
Bucureşti
Bucharest, Bucharest, Romania

Data Engineer Cyber-security & Fraud Detection | Hybrid

Role Overview

We are looking for an experienced Data Engineer to join the ISR/RBS team within the Retail Banking Security (RBS) department. The selected candidate will be responsible for developing and maintaining the data infrastructure that supports our cybersecurity application for e
Fraud detection. This role requires expertise in Big Data technologies, data pipeline development, and production monitoring to anticipate and prevent
- related incidents.

Key Responsibilities

• Big Data Development & Deployment:
  • Develop and execute Big Data projects to support e
    Fraud detection business needs.
  • Perform end-to-end testing, define test scenarios, and document defects.
  • Manage production deployments and ensure seamless rollouts.
• Data Pipeline & Infrastructure Management:
  • Design, develop, and maintain data pipelines for ETL processes across multiple data sources.
  • Maintain and optimize databases, data warehouses, and data lakes.
  • Ensure data integrity, governance, and compliance with internal standards.
• Incident Prevention & Monitoring:
  • Monitor and maintain fraud detection microservices hosted in the Big Data environment.
  • Investigate production incidents and coordinate resolutions with key stakeholders.
  • Implement automated monitoring and alerting mechanisms to enhance security.
• Optimization & Security Improvements:
  • Develop a strategy to reduce technical debt and optimize infrastructure performance.
  • Improve data security measures and ensure decommissioning of unused resources.
  • Maintain up-to-date documentation for all data engineering processes.

Required Skills & Experience

• Minimum 3 years of experience in data engineering, development, and production monitoring.
• Strong technical expertise in:
  • Scala, Spark, Hadoop, Cloudera.
  • CI/CD tools and processes.
  • Jira, Elastic
    Search for project management and search analytics.
• Nice-to-Have Skills:
  • Experience with HDFS, HBase, Control-M, Yarn, Kafka.
• Languages:
  • English Advanced (mandatory).
  • French Intermediate (preferred).
• Soft Skills:
  • Ability to work autonomously and proactively propose solutions.
  • Strong problem-solving skills and attention to detail.
  • Commitment to planning, reporting, and execution of assigned tasks.

Why Join?

• Work in a critical cybersecurity environment, contributing to fraud detection and prevention.
• Engage with
  - edge Big Data technologies in a
  - paced banking security division.
• Be part of a collaborative, innovative team focused on enhancing data security.
• Hybrid work model offering flexibility.

If you are a Data Engineer with expertise in Big Data, fraud detection, and cybersecurity, wed love to hear from you!