Senior Freelance Analytics Engineer

About

 
Swan is the leading European fintech specialized in embedded banking. A laureate of the French government’s selective year list of tech champions, “French Tech Next 120,” we are quickly expanding across Europe.

Over 100 European companies have already seamlessly integrated banking services such as accounts, cards, and payments into their products through our Banking-as-a-Service platform. This approach, known as “embedded finance”, empowers businesses to elevate their offerings and create new revenue streams — often times tripling their revenue!

Our founders’ vision from the beginning was Simplicity: that anyone with a fintech idea at 2 am can visit our website, start building, and buy themselves a coffee with a self-issued card the very next day. That vision has taken us far.

Following a Series B round, we have been doubling our headcount and already have over 330 Swanees across offices in Paris, Bordeaux, Berlin, Barcelona, Amsterdam, and Milan! If you’re excited about joining a European fintech adventure, Swan is the way!

To learn more about us: About Swan ; Our story.

Job description

We're looking for a freelance Analytics Engineer to join our Data team full-time for 3 to 6 months, bridging the transition between our current Analytics Engineer and their successor.

Swan is a fintech offering embedded banking: companies use Swan to build accounts, cards and payments into their own products. Our Data team, led by Romain, our VP Data, serves the Risk department and our data analysts with the data they need to run and steer the business. Our models also feed reporting to financial regulators, so accuracy, testing and traceability are non-negotiable.

Our Analytics Engineer owns two scopes: business marts on Swan's core product, such as payments and onboarding, and our Regulatory Reporting models, build and run. During this transition, we need an experienced pair of hands to keep both running and keep delivering.

✨ Your mission

Your goal: deliver reliable, well-modelled data across two scopes of equal weight, business marts for our product and tech teams and our regulatory reporting, then hand everything over cleanly to our next Analytics Engineer.

Your scope:

• Business marts: own the modelling of Swan's core product domains, including payments and onboarding, and build the marts product, tech and business teams rely on

• Regulatory Reporting: take over the existing models, keep them running, and evolve them as requirements change. Here, modelling excellence is the job itself: every model tested and documented, every figure accurate, and full consistency across regulatory reports

• Handover, twice: ramp up quickly with the outgoing Analytics Engineer, then transfer the full scope to their successor with up-to-date documentation

What you'll do

• Design, build and maintain marts for payments, onboarding and other core domains, working closely with product and tech teams

• Run the Regulatory Reporting models day to day: monitor runs, fix failures, make sure reports go out accurate and on time

• Evolve regulatory models as requirements change, without breaking what already reports correctly

• Guarantee consistency: the same figure must reconcile across every regulatory report, with the business marts and with source systems

• Hold a high modelling bar everywhere: clear grain, explicit keys, tests on every model, and documentation that analysts, auditors and regulators can follow

• Work daily with the Data team, software engineers, compliance and business stakeholders

• Keep documentation current throughout, so the handover to the next Analytics Engineer is seamless

Preferred experience

✨ You’re a great match if:

• Must-haves:

  • 5+ years in analytics engineering or data engineering, including owning production models end to end, build and run

  • Expert SQL and hands-on Snowflake experience

  • Strong production experience with dbt: macros, tests, incremental models, packages

  • Git workflows, code review and CI for data projects

  • Clear communication with non-technical stakeholders, in English

  • Hands-on experience developing with AI (e.g. Claude Code, Cursor, Copilot) as part of your daily workflow, with the rigour to review and test what it produces

  Nice-to-haves:

  • Experience with regulatory reporting, or in fintech or banking

  • Previous freelance missions that involved taking over or handing over a scope

It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌

Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.

About Swan

✨ Our values:

Swan’s core values guide our actions daily. Individually, they may seem obvious, but together, they form a unique culture.

Simplicity: Leonardo Da Vinci said: “simplicity is the ultimate sophistication.” If something's convoluted or confusing, we work extra hard to break it down. - Making complex things simple is what we do.

Long Term: We always play the long game, whether it's to support our partners in their growth journey, or make tangible commitments to climate action.

Excellence: We are a team of experts who consistently go all out to create pixel-perfect banking services and exceed our partners' expectations— whatever it takes.

Be Human: We believe in the power of kindness and the importance of acting with integrity. But embracing our humanity extends beyond interpersonal interactions, it means caring about greater issues that affect our planet.

You can find out more about our culture.

Recruitment process 

1. Prescreen with Talent Acquisition

2. Technical interview

3. Hiring Manager interview