🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable data pipelines using Java, Scala, and big data technologies in a fully remote European environment, focusing on high-impact domains like fraud detection and financial crime prevention. Your work will directly support predictive modeling and real-time decision-making across complex enterprise systems. This role offers the chance to contribute to large-scale data initiatives with modern big data ecosystems.

🎯 What You'll Do

• Design and maintain scalable data pipelines and integration solutions.
• Build and optimize ETL processes for efficient data movement and transformation.
• Support fraud detection, compliance, and predictive analytics initiatives.
• Troubleshoot and resolve data-related issues across relational and non-relational systems.

📋 Requirements

• 5-7 years of experience as a Data Engineer.
• Strong Java and Scala programming skills.
• Experience with big data technologies such as Hadoop and Spark.
• Experience with ETL processes and data modeling.

✨ Nice to Have

• Knowledge of Python.
• Experience with Elasticsearch, Tomcat, or Jetty.
• Experience in fraud detection or compliance systems.

🎁 Benefits & Perks

• 🏠 Fully remote within Europe.
• 💼 High-impact projects in fraud detection and analytics.
• 🛠️ Modern big data ecosystem exposure.
• 🤝 Collaborative Agile environment with international teams.
• 💵 Competitive daily rate compensation.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Take-home assignment· 1-2 hours