Fincrime Analytics Engineer
Pubblicato il 28-10-2026 - Satispay in Bardi
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Please note that this opportunity requires relocation to our Barcelona office.
Traditional banking has never really given you control over your financial life.
Satispay exists to change that: to empower people through finance.
That means making financial services easy and accessible for over 6.5M users.
We started with payments, then benefits, investing, cards... and we're not done.
Not even close.
We follow the same logic every time: find a real problem, solve it properly, then look for the next one.
The destination?
To build the most loved financial platform in the world.
If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken - you'll find people here who work exactly in the same way.
And together, you'll build something worth being proud of.
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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
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.
Nice to Have - Experience with Feature Stores, Graph Databases, and Machine Learning Engineering.
Don't worry if you don't tick every box.
We believe in the power of different viewpoints and strengths.
Your unique perspective is important as we build something special.
CareAbout
Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.
Financial resources: Stock Option Plan, meal vouchers, relocation support if you're moving countries.
Growth and development: professional development programs, internal mobility, language courses with Preply.
Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.
Family: enhanced parental leave, additional leave for child sickness.
We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.
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Curious what it's actually like here?
Our values and pillars shape how we work every day: explore them here.
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