Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
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 and analytics, focusing on SQL, Python, and Big Data technologies to design and implement efficient data models and pipelines. Proven ability to translate technical insights into actionable data optimizations while ensuring high-quality data collection and performance.

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

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonBig DataETLDbtAirflowSparkData ModelingData TransformationBatch Processing
Soft Skills
Excellent Communication Skills
Industry Keywords
Data MeshData StrategyData QualityData PerformanceAnalytical 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 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
  • Translate technical insights into impactful actions and data model optimizations
  • Develop high-value features for the feature store using optimized code across high volumes of data
  • Simplify complex data models into efficient SQL-queryable data relations
  • Improve overall data performance and 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
  • Willingness to relocate to the Luxembourg office

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