Satispay
More roles at SatispayFinCrime Analytics Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Luxembourg, Luxembourg
Employer listed it 4 weeks ago · Added 4 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Luxembourg, Luxembourg
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.
- Where you can work from
🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Luxembourg, Luxembourg, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Luxembourg, Luxembourg, Hybrid"
- Listing mentions "Hybrid" and three days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a nice-to-have
- “Nice to Have – Experience with Feature Stores, Graph Databases, and Machine Learning Engineering.”
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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.
Requirements
- ·Nice to Have – Experience with Feature Stores, Graph Databases, and Machine Learning Engineering.
- ·CareAbout: how we support your impact
- ·❤️ 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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Satispay, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 28d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Pay not stated · You'll be taken to the employer's careers page.