Big Data Engineer Job

Who we are

The Group Anti-Fraud Solution aims to support our client's Entities in fighting Fraud. Composed of two Solutions: Tactical Fraud Fighting (in-house built solution) and Strategic Fraud Fighting (Quantexa solution), the product helps to detect suspicious claims based on Predictive Model Scoring engine, Business Rules Scoring Engines, Network Rules Scoring engines as well as Network Investigation. 

What you'l be doing

• Develop efficient, scalable, and production-ready data pipelines using tools like Spark, Hadoop, and Elasticsearch
• Configure and deploy solutions on cloud platforms such as Microsoft Azure and AWS
• Collaborate with solution architects and engineers to design solutions for complex data challenges
• Communicate technical concepts to non-technical audiences to support key decision-making
• Promote best practices in development, testing, and DevOps processes
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
• Willingness to work with Quantexa as a project tool

What you'll bring along

• Minimum of 3-5 years in a data engineering role and 4+ years of software development experience
• Proficiency in Scala, Python, Java, or similar programming languages
• Expertise in building production-level batch data systems and operationally stable pipelines
• Strong knowledge of data warehousing and financial data models
• Experience with testing libraries and understanding of unit and integration testing practices
• Strong communication skills and ability to adapt in dynamic client environments
• Familiarity with modern DevOps tools (e.g., Git, Jenkins, Docker) and workflows

Preferred Skills:

• Experience with Synapse, Delta Lake, PowerBI, or DataVault 2.0
• Background in the insurance industry or financial sector
• Knowledge of DataOps and CI/CD practices