FinCrime Analytics Engineer - Luxembourg

As our FinCrime Analytics Engineer, you'll drive our data strategy to elevate risk decision-making by ensuring all analytical data is readily available, well-structured, and fully aligned with our operational needs.

Responsibilities

Design data architecture by driving the development of the Data Mesh layer, designing robust data models and building pipelines that integrate into the federated data strategy; Ensure collection of high-quality data and manage high-volume data batch processing; Design and implement AI-powered agentic workflows for data transformation and exploration; Independently direct cross-functional initiatives, turning technical insights into impactful actions and data model optimizations; Build high-value features to populate the feature store using optimized code; Simplify complex data models into clear, efficient data relations that can be easily queried with SQL

Requirements

5+ years in data engineering or analytics engineering; High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar technologies; Hands-on experience building ETL data pipelines; Excellent communication skills and fluency in English

Nice to have

Experience with Feature Stores; Experience with Graph Databases; Experience with Machine Learning Engineering

Benefits

Private insurance for you and your family; Psychological support with Serenis; Mental health workshops; Stock Option Plan; Meal vouchers; Relocation support if moving countries; Professional development programs; Internal mobility; Language courses with Preply; Unlimited PTO; Hybrid working policy; Flexible working hours; Enhanced parental leave; Additional leave for child sickness