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, focusing on SQL, Python, and building ETL data pipelines. Capable of designing data models and implementing AI-powered workflows while ensuring high data quality 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 ManagementMachine Learning EngineeringGraph DatabasesFeature Stores

Soft Skills

Excellent Communication Skills

Tools & Technologies

DbtAirflowSpark

Industry Keywords

Data MeshFederated Data StrategyHigh-Volume Data ProcessingCross-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 performance and ensure high 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