Senior Freelance Analytics Engineer

swan.io; Paris; Hybrid; EUR 67,000 - 100,000; Full time

Job summary

Swan is a fintech offering embedded banking, helping companies build accounts, cards and payments into their products. Our Data team supports Risk and data analysts with accurate, traceable data for regulators and decision-making.

This freelance Analytics Engineer role bridges the current engineer and successor, ensuring two scopes—business marts and regulatory reporting—stay reliable during the handover. You will design, build and maintain marts for payments and onboarding, run and evolve

Qualifications

• 5+ years in analytics engineering or data engineering roles.
• Own production models end to end and run them in production.
• Excellent SQL and Snowflake proficiency.
• Strong dbt experience: macros, tests, incremental models.
• Clear communication with non-technical stakeholders in English.
• Experience developing with AI tools as part of daily workflow.

Responsibilities

• 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, ensure reports are accurate and timely.
• Evolve regulatory models as requirements change without breaking existing reports.
• Guarantee consistency: reconcile figures across regulatory reports, business marts and source systems.
• Maintain high modelling standards: clear grain, explicit keys, tests on every model, and thorough documentation.
• Collaborate daily with the Data team, software engineers, compliance and business stakeholders.
• Keep documentation current to enable a smooth handover to the next Analytics Engineer.

Skills

SQL

Data modeling

End-to-end prod models

CI for data projects

English communication

AI-assisted development

Tools

Snowflake

dbt

Git

Claude Code

Cursor

Copilot

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

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 runExpert SQL and hands-on Snowflake experienceStrong production experience with dbt: macros, tests, incremental models, packagesGit workflows, code review and CI for data projectsClear communication with non-technical stakeholders, in EnglishHands-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 producesNice-to-haves:Experience with regulatory reporting, or in fintech or bankingPrevious freelance missions that involved taking over or handing over a scopeIt’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.