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 Senior Data Engineer, you will shape the evolution of our next-generation data platform, architecting, scaling, and governing an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely.
Here's what that looks like in practice:
Data Platform Architecture & Evolution - Lead the design and implementation of our modern Data Lakehouse strategy, ensuring seamless integration with Amazon Redshift & Redshift Serverless for high-performance analytics.
Self-Service Enablement & Analytics Engineering - Empower Data Analysts to contribute directly to data modelling, owning the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks.
Orchestration & Workflow Automation - Build, scale, and maintain reliable orchestration layers using Apache Airflow, optimising complex DAGs for both batch and near-real-time workloads.
ML Platform Ownership & Feature Store Management - Own, architect, and scale Satispay’s Machine Learning Platform, managing our Feature Store, building robust data pipelines for model training/inference, and provisioning collaborative analytics environments.
Streaming & Real-Time Data - Design and operate streaming transformation pipelines (e.g. Apache Flink, Spark Streaming) that power near-real-time analytics and feed the feature store.
AI Tooling & Agentic Engineering - Drive team-wide productivity gains by exploring, integrating, and maintaining AI-assisted development workflows (e.g., leveraging tools like Claude Code and deploying AI agents).
Ingestion & Integration - Supervise managed ingestion workflows (Fivetran) and custom Python pipelines, ensuring cost-efficient, resilient, and reliable data flow across systems.
Performance, Cost & Reliability - Design for performance and cost across the entire platform, owning data quality, observability, and the SLAs your consumers depend on.
Data Governance, Security & Compliance - Design robust data security, access control, and privacy measures across all data assets to ensure strict compliance with financial regulations.
Mentorship & Tech Leadership - Act as a technical mentor for junior/mid-level engineers, champion documentation, and establish engineering standards that elevate team capabilities.
Who we're looking for
This role needs someone who is a problem-solver, loves teamwork, and gets things done with high curiosity and readiness for real ownership.
Relevant education and technical background - Degree in Computer Science, Engineering, or a related field, backed by 5+ years of hands-on experience designing, scaling, and maintaining complex enterprise data platform architectures.
Programming Expertise - Highly skilled in SQL for data manipulation and analysis, with practical experience in Python, Java, or Scala for building robust data pipelines.
Architectural Knowledge - Familiarity with both batch and real-time streaming data architectures and principles for designing scalable and resilient systems.
Data-Oriented Mindset - Strong passion for deeply understanding data, its meaning, the importance of correct preparation, and methodologies for quality and consistency.
Platform & Mesh Mindset - Understanding of how to transition from centralised data delivery to a platform model with guardrails for self-service analytics.
Forward-Thinking & AI Curious - Excited about the intersection of data engineering and AI, with interest in LLMs and integrating AI coding assistants into development.
Structured communication and stakeholder management - Clear and persuasive communication skills, adapting your approach to build trust across technical and business teams.
Language proficiency - Fluent in both Italian and English for seamless communication across an international team.
Passion for FinTech or Startup environments - Genuine passion for fast-paced FinTech/startup ecosystems.
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.
*We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.
Salary: €51,000 - €66,500 gross per annum.
This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value.
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
- Degree in Computer Science, Engineering, or related field
- 5+ years hands-on experience designing, scaling, and maintaining complex enterprise data platforms
- Highly skilled in SQL for data manipulation and analysis
- Practical experience with at least one: Python, Java, or Scala
- Familiarity with batch and real-time streaming data architectures
- Experience with data platform tooling and practices (dbt, CI/CD, orchestration with Airflow, ingestion with Fivetran or custom pipelines)
- Experience or responsibility for ML platform/feature store pipelines
- Strong communication and stakeholder management skills
- Fluency in Italian and English
- Passion for FinTech or startup environments
- Interest in AI tooling, LLMs and AI-assisted development workflows
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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