FinCrime Analytics Engineer

Remote: yes Posted: 2026-09-29

Please note that this opportunity requires relocation to our Luxembourg office.

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.

Here's what that looks like in practice:

- Design Data Architecture - Drive the development of the Data Mesh layer by designing robust data models and building pipelines that integrate into the company's federated data strategy, ensuring scalable and governed data ownership.

- Data Integrity and Processing - Ensure the collection of high-quality data and manage high-volume data batch processing to maintain optimal performance for dashboards and analytical models.

- Define AI Agentic Workflows - Design and implement AI-powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self-service for key stakeholders.

- Stakeholder Management & Communication - Independently direct cross-functional initiatives across diverse business requirements, turning technical insights into impactful actions and data model optimizations.

- Build Feature Store Capabilities - Develop high-value features to populate the feature store using optimized code capable of processing and executing across high volumes of data.

- Challenge and Simplify - Simplify complex data models into clear, efficient data relations that can be easily queried with SQL to improve overall performance and ensure high data quality.

Who we're looking for

This role needs someone proactive, curious, and eager to take full ownership of our data strategy to elevate risk decision-making.

- Experience – 5+ years in data engineering or analytics engineering.

- Technical Proficiency – High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar technologies, with hands-on experience building ETL data pipelines.

- Communication – Excellent communication skills and fluency in English.