The job, in the employer's words
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 Analytics Engineer, you'll be the analytical backbone of this ecosystem, combining deep technical craft with strong business partnership to build core data products. Here's what that looks like in practice:
Own critical products end-to-end - Manage the full lifecycle of warehouse data products and straightforward ingestions, ensuring lineage, PII handling, and auditability are foundational.
Enable the Data Mesh - Maintain shared dimensional models and central semantic metrics so definitions are registered once and consumed seamlessly across domains.
Automate regulatory reporting - Build and maintain the robust, highly auditable data models required to automate complex compliance reporting.
Partner on platform & agentic infrastructure - Guide shared warehouse infrastructure alongside the Data Platform team, and contribute the vital context that internal warehouse maintenance agents depend on.
Refuse to be a bottleneck - Intervene proactively when you are the sole holder of knowledge, sharing it through rigorous documentation and code review.
Who we're looking for
This role needs someone with a data product owner mindset who thinks beyond the pipeline to the end user, focusing on the decisions they need to make and how the data product unlocks value.
Technical mastery - Expert in SQL; proficient in Python for scripting, and pipeline work. You are a strong data modeler with experience designing scalable, future-proof models that serve multiple stakeholders and use cases.
Core tooling - Deep experience with dbt or other semantic modeling tools, familiarity with workflow orchestration, and you treat Git and CI/CD as standard working practice.
Exceptional communicator - Comfortable presenting methodology and findings to both technical and non-technical partners, including executive leadership. You have a proven ability to drive cross-functional alignment.
Comfortable with ambiguity - You are a self-starter who takes ownership and drives projects forward with minimal oversight to define the workflows for a brand-new team.
AI-fluent & curious - You have working fluency with AI-assisted development (Claude, Cursor) and a grounded view of where it adds durable value.
Nice to haves - Prior experience as a Data Engineer, time spent in FinTech/highly regulated data environments, exposure to LLM tooling built on a data warehouse, or experience with dashboard tools like Looker, Hex, or Tableau.
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 two days per week in-office (Tuesday and Thursday), with the option to request extra remote time.
Salary: €48,000 - €54,000 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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Requirements mentioned
- This role needs someone with a data product owner mindset who thinks beyond the pipeline to the end user, focusing on the decisions they need to make and how the data product unlocks value.
- Technical mastery - Expert in SQL; proficient in Python for scripting, and pipeline work. You are a strong data modeler with experience designing scalable, future-proof models that serve multiple stakeholders and use cases.
- Core tooling - Deep experience with dbt or other semantic modeling tools, familiarity with workflow orchestration, and you treat Git and CI/CD as standard working practice.
- Exceptional communicator - Comfortable presenting methodology and findings to both technical and non-technical partners, including executive leadership. You have a proven ability to drive cross-functional alignment.
- Comfortable with ambiguity - You are a self-starter who takes ownership and drives projects forward with minimal oversight to define the workflows for a brand-new team.
- AI-fluent & curious - You have working fluency with AI-assisted development (Claude, Cursor) and a grounded view of where it adds durable value.
- Nice to haves - Prior experience as a Data Engineer, time spent in FinTech/highly regulated data environments, exposure to LLM tooling built on a data warehouse, or experience with dashboard tools like Looker, Hex, or Tableau.
- 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.
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