Please note that this opportunity requires relocation to our Luxembourg office.
About us
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.
What you'll be doing
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
This role needs someone proactive, curious, and eager to take full ownership of our data strategy to elevate risk decision-making.
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: if you're passionate and can make a difference, we truly encourage you to apply.
CareAbout: how we support your impact
We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created 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.
Equal opportunity employer
At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin.
Join us in a workplace where everyone belongs!
Learn more about us
Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here.
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Skills Required
- 5+ years of experience in data engineering or analytics engineering
- High proficiency in SQL and Python
- Experience with big data and distributed processing
- Experience with dbt, Airflow, Spark, or similar technologies
- Hands-on experience building ETL data pipelines
- Excellent communication skills
- Fluency in English
- Experience with feature stores
- Experience with graph databases
- Experience with machine learning engineering
Satispay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Satispay and has not been reviewed or approved by Satispay.
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Equity Value & Accessibility — Stock options are granted to all permanent employees with performance-based top-ups, broadening access to ownership. This structure can elevate total compensation beyond base salary.
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Flexible Benefits — A flexible benefits budget in Italy and meal vouchers, alongside relocation support, add tangible, locally relevant value to compensation. These choice-based elements can materially boost take-home value where available.
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Leave & Time Off Breadth — Unlimited paid time off and flexible hours expand time-away and scheduling options. Enhanced parental leave and extra time off for a child’s illness further broaden leave coverage.
Satispay Insights
What We Do
Satispay is a financial platform built around a simple idea: empowering people through finance by bringing your everyday finances into one place. You can pay, save, and invest from a single app, without the complexity that usually comes with financial services. We started in 2015 as a payment network, became an Italian unicorn in 2022, and have kept expanding ever since - into corporate welfare, Buy Now Pay Later, and investing, with debit cards in partnership with Mastercard marking our natural evolution toward banking. Today 6.5 million people and 450,000+ affiliated stores use Satispay: proof of what making financial services accessible to everyone looks like in practice, whether you're paying, getting paid, or managing welfare for a company. Our goal is straightforward: building the most loved platform in the world for managing your financial life. Behind it is a team of 750+ talented people across Europe, and we're still growing. If you'd like to be part of it, take a look at our open roles: https://jobs.ashbyhq.com/satispay?utm_source=ebli
Why Work With Us
Satispay is building the most loved financial platform in the world. 6.5M people and 450,000 shops already run on it. Everyone here holds stock options, so you own a piece of what you build. It's fast and not for everyone. If you want a comfortable seat, skip us. If you want your work to reach millions, come.
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