FinCrime Analytics Engineer

Satispay

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

Posted 9/29/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Analytics Engineering, with a strong focus on SQL, Python, and building ETL data pipelines. Capable of driving data strategy and optimizing data models for high-quality data collection and performance.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyETL Data Pipeline DevelopmentPython ProgrammingBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLData ModelingBatch ProcessingData TransformationData Quality ImprovementFeature Store DevelopmentMachine Learning EngineeringDistributed Processing

Soft Skills

Excellent Communication Skills

Tools & Technologies

DbtAirflowSparkGraph Databases

Industry Keywords

Data MeshData StrategyRisk Decision-MakingCross-Functional InitiativesAnalytical 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 with 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 data volumes
Simplify complex data models into clear, efficient SQL-queryable data relations
Improve overall data performance and data quality
Drive data strategy to elevate risk decision-making

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
Willingness to relocate to Barcelona
Willingness to work in the office three days per week

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
Option to request extra remote time