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Satispay

FinCrime Analytics Engineer

Satispay

. Drive the development of the Data Mesh layer by designing robust data models and building pipelines integrated into the company's federated data strategy .

Posted 9/29/2026full-timeLuxembourg • LuxembourgMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering, focusing on SQL, Python, and Big Data technologies to design and implement efficient data models and pipelines. Proven ability to manage high-volume data processing and optimize data quality for analytical applications.

Highest-signal resume keywords
Data EngineeringSQL ProficiencyPython ProgrammingETL Pipeline DevelopmentBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonBig DataETLDbtAirflowSparkData ModelingData ProcessingMachine Learning Engineering
Soft Skills
Excellent Communication Skills
Tools & Technologies
Feature StoresGraph Databases
Industry Keywords
Data MeshData StrategyData QualityData TransformationAnalytical Models

Tech Stack

Tools & technologies
AirflowETLPythonSparkSQL

About the role

Key responsibilities & impact
  • Drive the development of the Data Mesh layer by designing robust data models and building pipelines integrated into the company's federated data strategy
  • Ensure collection of high-quality data and manage high-volume data batch processing for dashboards and analytical models
  • Design and implement AI-powered agentic workflows for data transformation and exploration
  • Direct cross-functional initiatives across diverse business requirements and turn technical insights into impactful actions and data model optimizations
  • Develop high-value features for the feature store using optimized code capable of processing high volumes of data
  • Simplify complex data models into clear, efficient SQL-queryable data relations to improve performance and data quality

Requirements

What you’ll need
  • 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
  • Fluency in English
  • Experience with Feature Stores, Graph Databases, and Machine Learning Engineering is nice to have

Benefits

Comp & perks
  • Private insurance for you and your family
  • Psychological support with Serenis
  • Mental health workshops
  • Stock Option Plan
  • Meal vouchers
  • Relocation support if you’re 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